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21 February 2026

Vasudev Kamath: Learning Notes: Debsecan MCP Server

Since Generative AI is currently the most popular topic, I wanted to get my hands dirty and learn something new. I was learning about the Model Context Protocol at the time and wanted to apply it to build something simple.
Idea On Debian systems, we use debsecan to find vulnerabilities. However, the tool currently provides a simple list of vulnerabilities and packages with no indication of the system's security posture meaning no criticality information is exposed and no executive summary is provided regarding what needs to be fixed. Of course, one can simply run the following to install existing fixes and be done with it:
apt-get install $(debsecan --suite sid --format packages --only-fixed)
But this is not how things work in corporate environments; you need to provide a report showing the system's previous state and the actions taken to bring it to a safe state. It is all about metrics and reports. My goal was to use debsecan to generate a list of vulnerabilities, find more detailed information on them, and prioritize them as critical, high, medium, or low. By providing this information to an AI, I could ask it to generate an executive summary report detailing what needs to be addressed immediately and the overall security posture of the system.
Initial Take My initial thought was to use an existing LLM, either self-hosted or a cloud-based LLM like Gemini (which provides an API with generous limits via AI Studio). I designed functions to output the list of vulnerabilities on the system and provide detailed information on each. The idea was to use these as "tools" for the LLM.
Learnings
  1. I learned about open-source LLMs using Ollama, which allows you to download and use models on your laptop.
  2. I used Llama 3.1, Llama 3.2, and Granite 4 on my laptop without a GPU. I managed to run my experiments, even though they were time-consuming and occasionally caused my laptop to crash.
  3. I learned about Pydantic and how to use it to parse custom JSON schemas with minimal effort.
  4. I learned about osv.dev, an open-source initiative by Google that aggregates vulnerability information from various sources and provides data in a well-documented JSON schema format.
  5. I learned about the EPSS (Exploit Prediction Scoring System) and how it is used alongside static CVSS scoring to detect truly critical vulnerabilities. The EPSS score provides an idea of the probability of a vulnerability being exploited in the wild based on actual real-world attacks.
These experiments led to a collection of notebooks. One key takeaway was that when defining tools, I cannot simply output massive amounts of text because it consumes tokens and increases costs for paid models (though it is fine for local models using your own hardware and energy). Self-hosted models require significant prompting to produce proper output, which helped me understand the real-world application of prompt engineering.
Change of Plans Despite extensive experimentation, I felt I was nowhere close to a full implementation. While using a Gemini learning tool to study MCP, it suddenly occurred to me: why not write the entire thing as an MCP server? This would save me from implementing the agent side and allow me to hook it into any IDE-based LLM.
Design This MCP server is primarily a mix of a "tool" (which executes on the server machine to identify installed packages and their vulnerabilities) and a "resource" (which exposes read-only information for a specific CVE ID). The MCP exposes two tools:
  1. List Vulnerabilities: This tool identifies vulnerabilities in the packages installed on the system, categorizes them using CVE and EPSS scores, and provides a dictionary of critical, high, medium, and low vulnerabilities.
  2. Research Vulnerabilities: Based on the user prompt, the LLM can identify relevant vulnerabilities and pass them to this function to retrieve details such as whether a fix is available, the fixed version, and criticality.
Vibe Coding "Vibe coding" is the latest trend, with many claiming that software engineering jobs are a thing of the past. Without going into too much detail, I decided to give it a try. While this is not my first "vibe coded" project (I have done this previously at work using corporate tools), it is my first attempt to vibe code a hobby/learning project. I chose Antigravity because it seemed to be the only editor providing a sufficient amount of free tokens. For every vibe coding project, I spend time thinking about the barebones skeleton: the modules, function return values, and data structures. This allows me to maintain control over the LLM-generated code so it doesn't become overly complicated or incomprehensible. As a first step, I wrote down my initial design in a requirements document. In that document, I explicitly called for using debsecan as the model for various components. Additionally, I asked the AI to reference my specific code for the EPSS logic. The reasons were:
  1. debsecan already solves the core problem; I am simply rebuilding it. debsecan uses a single file generated by the Debian Security team containing all necessary information, which prevents us from needing multiple external sources.
  2. This provides the flexibility to categorize vulnerabilities within the listing tool itself since all required information is readily available, unlike my original notebook-based design.
I initially used Gemini 3 Flash as the model because I was concerned about exceeding my free limits.
Hiccups Although it initially seemed successful, I soon noticed discrepancies between the local debsecan outputs and the outputs generated by the tools. I asked the AI to fix this, but after two attempts, it still could not match the outputs. I realized it was writing its own version-comparison logic and failing significantly. Finally, I instructed it to depend entirely on the python-apt module for version comparison; since it is not on PyPI, I asked it to pull directly from the Git source. This solved some issues, but the problem persisted. By then, my weekly quota was exhausted, and I stopped debugging. A week later, I resumed debugging with the Claude 3.5 Sonnet model. Within 20-25 minutes, it found the fix, which involved four lines of changes in the parsing logic. However, I ran out of limits again before I could proceed further. In the requirements, I specified that the list vulnerabilities tool should only provide a dictionary of CVE IDs divided by severity. However, the AI instead provided full text for all vulnerability details, resulting in excessive data including negligible vulnerabilities being sent to the LLM. Consequently, it never called the research vulnerabilities tool. Since I had run out of limits, I manually fixed this in a follow-up commit.
How to Use I have published the current work in the debsecan-mcp repository. I have used the same license as the original debsecan. I am not entirely sure how to interpret licenses for vibe-coded projects, but here we are. To use this, you need to install the tool in a virtual environment and configure your IDE to use the MCP. Here is how I set it up for Visual Studio Code:
  1. Follow the guide from the VS Code documentation regarding adding an MCP server.
  2. My global mcp.json looks like this:
 
  "servers":  
      "debsecan-mcp":  
          "command": "uv",
              "args": [
                  "--directory",
                  "/home/vasudev/Documents/personal/FOSS/debsecan-mcp/debsecan-mcp",
                  "run",
                  "debsecan-mcp"
              ]
           
   ,
  "inputs": []
 
  1. I am running it directly from my local codebase using a virtualenv created with uv. You may need to tweak the path based on your installation.
  2. To use the MCP server in the Copilot chat window, reference it using #debsecan-mcp. The LLM will then use the server for the query.
  3. Use a prompt like: "Give an executive summary of the system security status and immediate actions to be taken."
  4. You can observe the LLM using list_vulnerabilities followed by research_cves. Because the first tool only provides CVE IDs based on severity, the LLM is smart enough to research only high and critical vulnerabilities, thereby saving tokens.
What's Next? This MCP is not yet perfect and has the following issues:
  1. The list_vulnerabilities dictionary contains duplicate CVE IDs because the code used a list instead of a set. While the LLM is smart enough to deduplicate these, it still costs extra tokens.
  2. Because I initially modeled this on debsecan, it uses a raw method for parsing /var/lib/dpkg/status instead of python-apt. I am considering switching to python-apt to reduce maintenance overhead.
  3. Interestingly, the AI did not add a single unit test, which is disappointing. I will add these once my limits are restored.
  4. I need to create a cleaner README with usage instructions.
  5. I need to determine if the MCP can be used via HTTP as well as stdio.
Conclusion Vibe coding is interesting, but things can get out of hand if not managed properly. Even with a good process, code must be reviewed and tested; you cannot blindly trust an AI to handle everything. Even if it adds tests, you must validate them, or you are doomed!

Thomas Goirand: Seamlessly upgrading a production OpenStack cluster in 4 hours : with 2k lines shell script


tl;dr: To the question: what does it take to upgrade OpenStack , my personal answer is: less than 2K lines of dash script. I ll here describe its internals, and why I believe it is the correct solution. Why writing this blog post During FOSSDEM 2024, I was asked how to you handle upgrades . I answered with a big smile and a short with a very small shell script as I couldn t explain in 2 minutes how it was done. Just saying it is great this way doesn t help giving readers enough hints to be trusted. Why and how did I do it the right way ? This blog post is an attempt to reply better to this question more deeply. Upgrading OpenStack in production I wrote this script maybe a 2 or 3 years ago. Though I m only blogging about it today, because I did such an upgrade in a public cloud in production last Thuesday evening (ie: the first region of the Infomaniak public cloud). I d say the cluster is moderately large (as of today: about 8K+ VMs running, 83 compute nodes, 12 network nodes, for a total of 10880 physical CPU cores and 125 TB of RAM if I only count the compute servers). It took only 4 hours to do the upgrade (though I already wore some more code to speed this up for the next time ). It went super smooth without a glitch. I mostly just sat, reading the script output and went to bed once it finished running. The next day, all my colleagues at Infomaniak were nicely congratulating me that it went that smooth (a big thanks to all of you who did). I couldn t dream of an upgrade that smooth! :) Still not impressed? Boring read? Yeah let s dive into more technical details. Intention behind the implementation My script isn t perfect. I wont ever pretend it is. But at least, it does minimize down time of every OpenStack service. It also is a by the book implementation of what s written in the OpenStack doc, following every upstream advice. As a result, it is fully seamless for some OpenStack services, and as HA as OpenStack can be for others. The upgrade process is of course idempotent and can be re-run in case of failure. Here s why. General idea My upgrade script does thing in a certain order, respecting what is documented about upgrades in the OpenStack documentation. It basically does: Installing dependencies The first thing the upgrade script does is: For this last thing, a static list of all needed dependency upgrade is maintained between each release of OpenStack, and for each type of nodes. Then for all packages in this list, the script checks with dpkg-query that the package is really installed, and with apt-cache policy that it really is going to be upgraded (Maybe there s an easier way to do this?). This way, no package is marked as manually installed by mistake during the upgrade process. This ensure that apt-get purge autoremove really does what it should, and that the script is really idempotent. The idea then, is that once all dependencies are installed, upgrading and restarting leaf packages (ie: OpenStack services like Nova, Glance, Cinder, etc.) is very fast, because the apt-get command doesn t need to install all dependencies. So at this point, doing apt-get install python3-cinder for example (which will also, thanks to dependencies, upgrade cinder-api and cinder-scheduler, if it s in a controller node) only takes a few seconds. This principle applies to all nodes (controller nodes, network nodes, compute nodes, etc.), which helps a lot speeding-up the upgrade and reduce unavailability. hapc At its core, the oci-cluster-upgrade-openstack-release script uses haproxy-cmd (ie: /usr/bin/hapc) to drain each API server to-be-upgraded from haproxy. Hapc is a simple Python wrapper around the haproxy admin socket: it sends command to it with an easy to understand CLI. So it is possible to reliably upgrade one API service only after it s drained away. Draining means one just wait for the last query to finish and the client to disconnect from http before giving the backend server some more queries. If you do not know hapc / haproxy-cmd, I recommend trying it: it s going to be hard for you to stop using it once you tested it. Its bash-completion script makes it VERY easy to use, and it is helpful in production. But not only: it is also nice to have when writing this type of upgrade script. Let s dive into haproxy-cmd. Example on how to use haproxy-cmd Let me show you. First, ssh one of the 3 controller and search where the virtual IP (VIP) is located with crm resource locate openstack-api-vip or with a (more simple) crm status . Let s ssh that server who got the VIP, and now, let s drain it away from haproxy. $ hapc list-backends
$ hapc drain-server --backend glancebe --server cl1-controller-1.infomaniak.ch --verbose --wait --timeout 50
$ apt-get install glance-api
$ hapc enable-server --backend glancebe --server cl1-controller-1.infomaniak.ch
Upgrading the control plane My upgrade script leverages hapc just like above. For each OpenStack project, it s done in this order on the first node holding the VIP: Starting at [1], the risk is that other nodes may have a new version of the database schema, but an old version of the code that isn t compatible with it. But it doesn t take long, because the next step is to take care of the other (usually 2) nodes of the OpenStack control plane: So while there s technically zero down time, still some issues between [1] and [2] above may happen because of the new DB schema and the old code (both for API and other services) are up and running at the same time. It is however supposed to be rare cases (some OpenStack project don t even have db change between some OpenStack releases, and it often continues to work on most queries with the upgraded db), and the cluster will be like that for a very short time, so that s fine, and better than an full API down time. Satellite services Then there s satellite services, that needs to be upgraded. Like Neutron, Nova, Cinder. Nova is the least offender as it has all the code to rewrite Json object schema on-the-fly so that it continues to work during an upgrade. Though it s a known issue that Cinder doesn t have the feature (last time I checked), and it s also probably the same for Neutron (maybe recent-ish versions of OpenStack do use oslo.versionnedobjects ?). Anyways, upgrade on these nodes are done just right after the control plane for each service. Parallelism and upgrade timings As we re dealing with potentially hundreds of nodes per cluster, a lot of operations are performed in parallel. I choose to simply use the & shell thingy with some wait shell stuff so that not too many jobs are done in parallel. For example, when disabling SSH on all nodes, this is done 24 nodes at a time. Which is fine. And the number of nodes is all depending on the type of thing that s being done. For example, while it s perfectly OK to disable puppet on 24 nodes at the same time, but it is not OK to do that with Neutron services. In fact, each time a Neutron agent is restarted, the script explicitly waits for 30 seconds. This conveniently avoids a hailstorm of messages in RabbitMQ, and neutron-rpc-server to become too busy. All of these waiting are necessary, and this is one of the reasons why can sometimes take that long to upgrade a (moderately big) cluster. Not using config management tooling Some of my colleagues would have prefer that I used something like Ansible. Whever, there s no reason to use such tool if the idea is just to perform some shell script commands on every servers. It is a way more efficient (in terms of programming) to just use bash / dash to do the work. And if you want my point of view about Ansible: using yaml for doing such programming would be crasy. Yaml is simply not adapted for a job where if, case, and loops are needed. I am well aware that Ansible has workarounds and it could be done, but it wasn t my choice.

20 February 2026

Bits from Debian: Proxmox Platinum Sponsor of DebConf26

proxmox-logo We are pleased to announce that Proxmox has committed to sponsor DebConf26 as a Platinum Sponsor. Proxmox develops powerful, yet easy-to-use open-source server solutions. The comprehensive open-source ecosystem is designed to manage divers IT landscapes, from single servers to large-scale distributed data centers. Our unified platform integrates server virtualization, easy backup, and rock-solid email security ensuring seamless interoperability across the entire portfolio. With the Proxmox Datacenter Manager, the ecosystem also offers a "single pane of glass" for centralized management across different locations. Since 2005, all Proxmox solutions have been built on the rock-solid Debian platform. We are proud to return to DebConf26 as a sponsor because the Debian community provides the foundation that makes our work possible. We believe in keeping IT simple, open, and under your control. Thank you very much, Proxmox, for your support of DebConf26! Become a sponsor too! DebConf26 will take place from 20th to July 25th 2026 in Santa Fe, Argentina, and will be preceded by DebCamp, from 13th to 19th July 2026. DebConf26 is accepting sponsors! Interested companies and organizations may contact the DebConf team through sponsors@debconf.org, and visit the DebConf26 website at https://debconf26.debconf.org/sponsors/become-a-sponsor/.

18 February 2026

Thomas Lange: 42.000 FAI.me jobs created

The FAI.me service has reached another milestone: The 42.000th job was submitted via the web interface since the beginning of this service in 2017. The idea was to provide a simple web interface for end users for creating the configs for the fully automatic installation with only minimal questions and without knowing the syntax of the configuration files. Thanks a lot for using this service and for all your feedback. The next job can be yours! P.S.: I like to get more feedback for the FAI.me service. What do you like most? What's missing? Do you have any success story how you use the customized ISO for your deployment? Please fill out the FAI questionaire or sent feedback via email to fai.me@fai-project.org About FAI.me FAI.me is the service for building your own customized images via a web interface. You can create an installation or live ISO or a cloud image. For Debian, multiple release versions can be chosen, as well as installations for Ubuntu Server, Ubuntu Desktop, or Linux Mint. Multiple options are available like selecting different desktop environments, the language and keyboard and adding a user with a password. Optional settings include adding your own package list, choosing a backports kernel, adding a postinst script and adding a ssh public key, choosing a partition layout and some more.

Dirk Eddelbuettel: qlcal 0.1.0 on CRAN: Easier Calendar Switching

The eighteenth release of the qlcal package arrivied at CRAN today. There has been no calendar update in QuantLib 1.41 so it has been relatively quiet since the last release last summer but we now added a nice new feature (more below) leading to a new minor release version. qlcal delivers the calendaring parts of QuantLib. It is provided (for the R package) as a set of included files, so the package is self-contained and does not depend on an external QuantLib library (which can be demanding to build). qlcal covers over sixty country / market calendars and can compute holiday lists, its complement (i.e. business day lists) and much more. Examples are in the README at the repository, the package page, and course at the CRAN package page. This releases makes it (much) easier to work with multiple calendars. The previous setup remains: the package keeps one global (and hidden) calendar object which can be set, queried, altered, etc. But now we added the ability to hold instantiated calendar objects in R. These are external pointer objects, and we can pass them to functions requiring a calendar. If no such optional argument is given, we fall back to the global default as before. Similarly for functions operating on one or more dates, we now simply default to the current date if none is given. That means we can now say
> sapply(c("UnitedStates/NYSE", "Canada/TSX", "Australia/ASX"), 
         \(x) qlcal::isBusinessDay(xp=qlcal::getCalendar(x)))
UnitedStates/NYSE        Canada/TSX     Australia/ASX 
             TRUE              TRUE              TRUE 
> 
to query today (February 18) in several markets, or compare to two days ago when Canada and the US both observed a holiday
> sapply(c("UnitedStates/NYSE", "Canada/TSX", "Australia/ASX"),
         \(x) qlcal::isBusinessDay(as.Date("2026-02-16"), xp=qlcal::getCalendar(x)))
UnitedStates/NYSE        Canada/TSX     Australia/ASX 
            FALSE             FALSE              TRUE 
> 
The full details from NEWS.Rd follow.

Changes in version 0.1.0 (2026-02-18)
  • Invalid calendars return id TARGET now
  • Calendar object can be created on the fly and passed to the date-calculating functions; if missing global one used
  • For several functions a missing date object now implies computation on the current date, e.g. isBusinessDay()

Courtesy of my CRANberries, there is a diffstat report for this release. See the project page and package documentation for more details, and more examples.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. If you like this or other open-source work I do, you can sponsor me at GitHub. Edited 2026-02-21 to correct a minor earlier error: it referenced a QuantLib 1.42 release which does not (yet) exist.

17 February 2026

Freexian Collaborators: Monthly report about Debian Long Term Support, January 2026 (by Santiago Ruano Rinc n)

The Debian LTS Team, funded by Freexian s Debian LTS offering, is pleased to report its activities for January.

Activity summary During the month of January, 20 contributors have been paid to work on Debian LTS (links to individual contributor reports are located below). The team released 33 DLAs fixing 216 CVEs. The team continued preparing security updates in its usual rhythm. Beyond the updates targeting Debian 11 ( bullseye ), which is the current release under LTS, the team also proposed updates for more recent releases (Debian 12 ( bookworm ) and Debian 13 ( trixie )), including Debian unstable. We highlight several notable security updates here below. Notable security updates:
  • python3.9, prepared by Andrej Shadura (DLA-4455-1), fixing multiple vulnerabilities in the Python interpreter.
  • php, prepared by Guilhem Moulin (DLA-4447-1), fixing two vulnerabilities that could yield to request forgery or denial of service.
  • apache2, prepared by Bastien Roucari s DLA-4452-1, fixing four CVEs.
  • linux-6.1, prepared by Ben Hutchings (DLA-4436-1), as a regular update of the linux 6.1 backport to Debian 11.
  • python-django, prepared by Chris Lamb (DLA-4458-1), resolving multiple vulnerabilities.
  • firefox-esr prepared by Emilio Pozuelo Monfort (DLA-4439-1)
  • gnupg2, prepared by Roberto S nchez (DLA-4437-1), fixing multiple issues, including CVE-2025-68973 that could potentially be exploited to execute arbitrary code.
  • apache-log4j2, prepared by Markus Koschany (DLA-4444-1)
  • ceph, prepared by Utkarsh Gupta (DLA-4460-1)
  • inetutils, prepared by Andreas Henriksson (DLA-4453-1), fixing an authentication bypass in telnetd.
Moreover, Sylvain Beucler studied the security support status of p7zip, a fork of 7zip that has become unmaintained upstream. To avoid letting the users continue using an unsupported package, Sylvain has investigated a path forward in collaboration with the security team and the 7zip maintainer, looking to replace p7zip with 7zip. It is to note however that 7zip developers don t reveal the information about the patches that fix CVEs, making it difficult to backport single patches to fix vulnerabilities in Debian released versions. Contributions from outside the LTS Team: Thunderbird, prepared by maintainer Christoph Goehre. The DLA (DLA-4442-1) was published by Emilio. The LTS Team has also contributed with updates to the latest Debian releases:
  • Bastien uploaded gpsd to unstable, and proposed updates for trixie #1126121 and bookworm #1126168 to fix two CVEs.
  • Bastien also prepared the imagemagick updates for trixie and bookworm, released as DSA-6111-1, along with the bullseye update DLA-4448-1.
  • Chris proposed a trixie point update for python-django (#112646), and the work for bookworm was completed in February (#1079454). The longstanding bookworm update required tracking down a regression in the django-storages packages.
  • Markus prepared tomcat10 updates for trixie and bookworm (DSA-6120-1), and tomcat11 for trixie (DSA-6121-1)
  • Thorsten Alteholz prepared bookworm point updates for zvbi (#1126167) to fix five CVEs; taglib (#1126273) to fix one CVE; and libuev (#1126370) to fix one CVE.
  • Utkarsh prepared an unstable update of node-lodash to fix one CVE.
Other than the work related to updates, Sylvain made several improvements to the documentation and tooling used by the team.

Individual Debian LTS contributor reports

Thanks to our sponsors Sponsors that joined recently are in bold.

16 February 2026

Antoine Beaupr : Keeping track of decisions using the ADR model

In the Tor Project system Administrator's team (colloquially known as TPA), we've recently changed how we take decisions, which means you'll get clearer communications from us about upcoming changes or targeted questions about a proposal. Note that this change only affects the TPA team. At Tor, each team has its own way of coordinating and making decisions, and so far this process is only used inside TPA. We encourage other teams inside and outside Tor to evaluate this process to see if it can improve your processes and documentation.

The new process We had traditionally been using a "RFC" ("Request For Comments") process and have recently switched to "ADR" ("Architecture Decision Record"). The ADR process is, for us, pretty simple. It consists of three things:
  1. a simpler template
  2. a simpler process
  3. communication guidelines separate from the decision record

The template As team lead, the first thing I did was to propose a new template (in ADR-100), a variation of the Nygard template. The TPA variation of the template is similarly simple, as it has only 5 headings, and is worth quoting in full:
  • Context: What is the issue that we're seeing that is motivating this decision or change?
  • Decision: What is the change that we're proposing and/or doing?
  • Consequences: What becomes easier or more difficult to do because of this change?
  • More Information (optional): What else should we know? For larger projects, consider including a timeline and cost estimate, along with the impact on affected users (perhaps including existing Personas). Generally, this includes a short evaluation of alternatives considered.
  • Metadata: status, decision date, decision makers, consulted, informed users, and link to a discussion forum
The previous RFC template had 17 (seventeen!) headings, which encouraged much longer documents. Now, the decision record will be easier to read and digest at one glance. An immediate effect of this is that I've started using GitLab issues more for comparisons and brainstorming. Instead of dumping in a document all sorts of details like pricing or in-depth alternatives comparison, we record those in the discussion issue, keeping the document shorter.

The process The whole process is simple enough that it's worth quoting in full as well:
Major decisions are introduced to stakeholders in a meeting, smaller ones by email. A delay allows people to submit final comments before adoption.
Now, of course, the devil is in the details (and ADR-101), but the point is to keep things simple. A crucial aspect of the proposal, which Jacob Kaplan-Moss calls the one weird trick, is to "decide who decides". Our previous process was vague about who makes the decision and the new template (and process) clarifies decision makers, for each decision. Inversely, some decisions degenerate into endless discussions around trivial issues because too many stakeholders are consulted, a problem known as the Law of triviality, also known as the "Bike Shed syndrome". The new process better identifies stakeholders:
  • "informed" users (previously "affected users")
  • "consulted" (previously undefined!)
  • "decision maker" (instead of the vague "approval")
Picking those stakeholders is still tricky, but our definitions are more explicit and aligned to the classic RACI matrix (Responsible, Accountable, Consulted, Informed).

Communication guidelines Finally, a crucial part of the process (ADR-102) is to decouple the act of making and recording decisions from communicating about the decision. Those are two radically different problems to solve. We have found that a single document can't serve both purposes. Because ADRs can affect a wide range of things, we don't have a specific template for communications. We suggest the Five Ws method (Who? What? When? Where? Why?) and, again, to keep things simple.

How we got there The ADR process is not something I invented. I first stumbled upon it in the Thunderbird Android project. Then, in parallel, I was in the process of reviewing the RFC process, following Jacob Kaplan-Moss's criticism of the RFC process. Essentially, he argues that:
  1. the RFC process "doesn't include any sort of decision-making framework"
  2. "RFC processes tend to lead to endless discussion"
  3. the process "rewards people who can write to exhaustion"
  4. "these processes are insensitive to expertise", "power dynamics and power structures"
And, indeed, I have been guilty of a lot of those issues. A verbose writer, I have written extremely long proposals that I suspect no one has ever fully read. Some proposals were adopted by exhaustion, or ignored because not looping in the right stakeholders. Our discussion issue on the topic has more details on the issues I found with our RFC process. But to give credit to the old process, it did serve us well while it was there: it's better than nothing, and it allowed us to document a staggering number of changes and decisions (95 RFCs!) made over the course of 6 years of work.

What's next? We're still experimenting with the communication around decisions, as this text might suggest. Because it's a separate step, we also have a tendency to forget or postpone it, like this post, which comes a couple of months late. Previously, we'd just ship a copy of the RFC to everyone, which was easy and quick, but incomprehensible to most. Now we need to write a separate communication, which is more work but, hopefully, worth the as the result is more digestible. We can't wait to hear what you think of the new process and how it works for you, here or in the discussion issue! We're particularly interested in people that are already using a similar process, or that will adopt one after reading this.
Note: this article was also published on the Tor Blog.

Philipp Kern: What is happening with this "connection verification"?

You might see a verification screen pop up on more and more Debian web properties. Unfortunately the AI world of today is meeting web hosts that use Perl CGIs and are not built as multi-tiered scalable serving systems. The issues have been at three layers:
  1. Apache's serving capacity runs full - with no threads left to serve requests. This means that your connection will sit around for a long time, not getting accepted. In theory this can be configured, but that would require requests to be handled in time.
  2. Startup costs of request handlers are too high, because we spawn a process for every request. This currently affects the BTS and dgit's browse interface. packages.debian.org has been fixed, which increased scalability sufficiently.
  3. Requests themselves are too expensive to be served quickly - think git blame without caching.

Optimally we would go and solve some scalability issues with the services, however there is also a question of how much we want to be able to serve - as AI scraper demand is just a steady stream of requests that are not shown to humans.

How is it implemented?

DSA has now stood up some VMs with Varnish for proxying. Incoming TLS is provided by hitch, and TLS "on-loading" is done using haproxy. That way TLS goes in and TLS goes out. While Varnish does cache, if the content is cachable (e.g. does not depend on cookies) - that is not the primary reason for using it: It can be used for flexible query and response rewriting.

If no cookie with a proof of work is provided, the user is redirected to a challenge page that does some webcrypto in Javascript - because that looked similar to what other projects do (e.g. haphash that originally inspired the solution). However so far it looks like scrapers generally do not run with Javascript enabled, so this whole crypto proof of work business could probably be replaced with just a Javascript-based redirect. The existing solution also has big (security) holes in it. And, as we found out, Firefox is slower at webcrypto than Chrome. I have recently reduced the complexity, so you should notice it blocking you significantly less.

Once you have the cookie, you can keep accessing the site for as long as the cookie is valid. Please do not make any assumptions about the cookies, or you will be broken in the future.For legitimate scrapers that obey robots.txt, there is now an automatically generated IP allowlist in place (thanks, Marco d'Itri). Turns out that the search engines do not actually run Javascript either and then loudly complain about the redirect to the challenge page. Other bots are generally exempt.

Conclusion I hope that right now we found sort of the sweet spot where the admins can stop spending human time on updating firewall rules and the services are generally available, reasonably fast, and still indexed. In case you see problems or run into a block with your own (legitimate) bots, please let me know.

Benjamin Mako Hill: Why do people participate in similar online communities?

Note: I have not published blog posts about my academic papers over the past few years. To ensure that my blog contains a more comprehensive record of my published papers and to surface these for folks who missed them, I will be periodically (re)publishing blog posts about some older published projects. It seems natural to think of online communities competing for the time and attention of their participants. Over the last few years, I ve worked with a team of collaborators led by Nathan TeBlunthuis to use mathematical and statistical techniques from ecology to understand these dynamics. What we ve found surprised us: competition between online communities is rare and typically short-lived. When we started this research, we figured competition would be most likely among communities discussing similar topics. As a first step, we identified clusters of such communities on Reddit. One surprising thing we noticed in our Reddit data was that many of these communities that used similar language also had very high levels of overlap among their users. This was puzzling: why were the same groups of people talking to each other about the same things in different places? And why don t they appear to be in competition with each other for their users time and activity? We didn t know how to answer this question using quantitative methods. As a result, we recruited and interviewed 20 active participants in clusters of highly related subreddits with overlapping user bases (for example, one cluster was focused on vintage audio). We found that the answer to the puzzle lay in the fact that the people we talked to were looking for three distinct things from the communities they worked in:

  1. The ability to connect to specific information and narrowly scoped discussions.
  2. The ability to socialize with people who are similar to themselves.
  3. Attention from the largest possible audience.
Critically, we also found that these three things represented a trilemma, and that no single community can meet all three needs. You might find two of the three in a single community, but you could never have all three.
Figure from No Community Can Do Everything: Why People Participate in Similar Online Communities depicts three key benefits that people seek from online communities and how individual communities tend not to optimally provide all three. For example, large communities tend not to afford a tight-knit homophilous community.
The end result is something I recognize in how I engage with online communities on platforms like Reddit. People tend to engage with a portfolio of communities that vary in size, specialization, topical focus, and rules. Compared with any single community, such overlapping systems can provide a wider range of benefits. No community can do everything.

This work was published as a paper at CSCW: TeBlunthuis, Nathan, Charles Kiene, Isabella Brown, Laura (Alia) Levi, Nicole McGinnis, and Benjamin Mako Hill. 2022. No Community Can Do Everything: Why People Participate in Similar Online Communities. Proceedings of the ACM on Human-Computer Interaction 6 (CSCW1): 61:1-61:25. https://doi.org/10.1145/3512908.

This work was supported by the National Science Foundation (awards IIS-1908850, IIS-1910202, and GRFP-2016220885). A full list of acknowledgements is in the paper.

12 February 2026

Dirk Eddelbuettel: RcppSpdlog 0.0.27 on CRAN: C++20 Accommodations

Version 0.0.27 of RcppSpdlog arrived on CRAN moments ago, and will be uploaded to Debian and built for r2u shortly. The (nice) documentation site will be refreshed too. RcppSpdlog bundles spdlog, a wonderful header-only C++ logging library with all the bells and whistles you would want that was written by Gabi Melman, and also includes fmt by Victor Zverovich. You can learn more at the nice package documention site. Brian Ripley has now turned C++20 on as a default for R-devel (aka R 4.6.0 to be ), and this turned up misbehvior in packages using RcppSpdlog such as our spdl wrapper (offering a nicer interface from both R and C++) when relying on std::format. So for now, we turned this off and remain with fmt::format from the fmt library while we investigate further. The NEWS entry for this release follows.

Changes in RcppSpdlog version 0.0.27 (2026-02-11)
  • Under C++20 or later, keep relying on fmt::format until issues experienced using std::format can be identified and resolved

Courtesy of my CRANberries, there is also a diffstat report detailing changes. More detailed information is on the RcppSpdlog page, or the package documention site.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. If you like this or other open-source work I do, you can sponsor me at GitHub.

8 February 2026

Colin Watson: Free software activity in January 2026

About 80% of my Debian contributions this month were sponsored by Freexian, as well as one direct donation via GitHub Sponsors (thanks!). If you appreciate this sort of work and are at a company that uses Debian, have a look to see whether you can pay for any of Freexian s services; as well as the direct benefits, that revenue stream helps to keep Debian development sustainable for me and several other lovely people. You can also support my work directly via Liberapay or GitHub Sponsors. Python packaging New upstream versions: Fixes for Python 3.14: Fixes for pytest 9: Porting away from the deprecated pkg_resources: Other build/test failures: I investigated several more build failures and suggested removing the packages in question: Other bugs: Other bits and pieces Alejandro Colomar reported that man(1) ignored the MANWIDTH environment variable in some circumstances. I investigated this and fixed it upstream. I contributed an ubuntu-dev-tools patch to stop recommending sudo. I added forky support to the images used in Salsa CI pipelines. I began working on getting a release candidate of groff 1.24.0 into experimental, though haven t finished that yet. I worked on some lower-priority security updates for OpenSSH. Code reviews

Dirk Eddelbuettel: chronometre: A new package (pair) demo for R and Python

Both R and Python make it reasonably easy to work with compiled extensions. But how to access objects in one environment from the other and share state or (non-trivial) objects remains trickier. Recently (and while r-forge was resting so we opened GitHub Discussions) a question was asked concerning R and Python object pointer exchange. This lead to a pretty decent discussion including arrow interchange demos (pretty ideal if dealing with data.frame-alike objects), but once the focus is on more library-specific objects from a given (C or C++, say) library it is less clear what to do, or how involved it may get. R has external pointers, and these make it feasible to instantiate the same object in Python. To demonstrate, I created a pair of (minimal) packages wrapping a lovely (small) class from the excellent spdlog library by Gabi Melman, and more specifically in an adapted-for-R version (to avoid some R CMD check nags) in my RcppSpdlog package. It is essentially a nicer/fancier C++ version of the tic() and tic() timing scheme. When an object is instantiated, it starts the clock and when we accessing it later it prints the time elapsed in microsecond resolution. In Modern C++ this takes little more than keeping an internal chrono object. Which makes for a nice, small, yet specific object to pass to Python. So the R side of the package pair instantiates such an object, and accesses its address. For different reasons, sending a raw pointer across does not work so well, but a string with the address printed works fabulously (and is a paradigm used around other packages so we did not invent this). Over on the Python side of the package pair, we then take this string representation and pass it to a little bit of pybind11 code to instantiate a new object. This can of course also expose functionality such as the show time elapsed feature, either formatted or just numerically, of interest here. And that is all that there is! Now this can be done from R as well thanks to reticulate as the demo() (also shown on the package README.md) shows:
> library(chronometre)
> demo("chronometre", ask=FALSE)


        demo(chronometre)
        ---- ~~~~~~~~~~~

> #!/usr/bin/env r
> 
> stopifnot("Demo requires 'reticulate'" = requireNamespace("reticulate", quietly=TRUE))

> stopifnot("Demo requires 'RcppSpdlog'" = requireNamespace("RcppSpdlog", quietly=TRUE))

> stopifnot("Demo requires 'xptr'" = requireNamespace("xptr", quietly=TRUE))

> library(reticulate)

> ## reticulate and Python in general these days really want a venv so we will use one,
> ## the default value is a location used locally; if needed create one
> ## check for existing virtualenv to use, or else set one up
> venvdir <- Sys.getenv("CHRONOMETRE_VENV", "/opt/venv/chronometre")

> if (dir.exists(venvdir))  
+ >     use_virtualenv(venvdir, required = TRUE)
+ >   else  
+ >     ## create a virtual environment, but make it temporary
+ >     Sys.setenv(RETICULATE_VIRTUALENV_ROOT=tempdir())
+ >     virtualenv_create("r-reticulate-env")
+ >     virtualenv_install("r-reticulate-env", packages = c("chronometre"))
+ >     use_virtualenv("r-reticulate-env", required = TRUE)
+ >  


> sw <- RcppSpdlog::get_stopwatch()                   # we use a C++ struct as example

> Sys.sleep(0.5)                                      # imagine doing some code here

> print(sw)                                           # stopwatch shows elapsed time
0.501220 

> xptr::is_xptr(sw)                                   # this is an external pointer in R
[1] TRUE

> xptr::xptr_address(sw)                              # get address, format is "0x...."
[1] "0x58adb5918510"

> sw2 <- xptr::new_xptr(xptr::xptr_address(sw))       # cloned (!!) but unclassed

> attr(sw2, "class") <- c("stopwatch", "externalptr") # class it .. and then use it!

> print(sw2)                                          #  xptr  allows us close and use
0.501597 

> sw3 <- ch$Stopwatch(  xptr::xptr_address(sw) )      # new Python object via string ctor

> print(sw3$elapsed())                                # shows output via Python I/O
datetime.timedelta(microseconds=502013)

> cat(sw3$count(), "\n")                              # shows double
0.502657 

> print(sw)                                           # object still works in R
0.502721 
> 
The same object, instantiated in R is used in Python and thereafter again in R. While this object here is minimal in features, the concept of passing a pointer is universal. We could use it for any interesting object that R can access and Python too can instantiate. Obviously, there be dragons as we pass pointers so one may want to ascertain that headers from corresponding compatible versions are used etc but principle is unaffected and should just work. Both parts of this pair of packages are now at the corresponding repositories: PyPI and CRAN. As I commonly do here on package (change) announcements, I include the (minimal so far) set of high-level changes for the R package.

Changes in version 0.0.2 (2026-02-05)
  • Removed replaced unconditional virtualenv use in demo given preceding conditional block
  • Updated README.md with badges and an updated demo

Changes in version 0.0.1 (2026-01-25)
  • Initial version and CRAN upload

Questions, suggestions, bug reports, are welcome at either the (now awoken from the R-Forge slumber) Rcpp mailing list or the newer Rcpp Discussions.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. If you like this or other open-source work I do, you can sponsor me at GitHub.

Vincent Bernat: Fragments of an adolescent web

I have unearthed a few old articles typed during my adolescence, between 1996 and 1998. Unremarkable at the time, these pages now compose, three decades later, the chronicle of a vanished era.1 The word blog does not exist yet. Wikipedia has yet to come. Google has not been born. AltaVista reigns over searches, while already struggling to embrace the nascent immensity of the web2. To meet someone, you had to agree in advance and prepare your route on paper maps. The web is taking off. The CSS specification has just emerged, HTML tables still serve for page layout. Cookies and advertising banners are making their appearance. Pages are adorned with music and videos, forcing browsers to arm themselves with plugins. Netscape Navigator sits on 86% of the territory, but Windows 95 now bundles Internet Explorer to quickly catch up. Facing this offensive, Netscape open-sources its browser. France falls behind. Outside universities, Internet access remains expensive and laborious. Minitel still reigns, offering a phone directory, train tickets, remote shopping. This was not yet possible with the Internet: buying a CD online was a pipe dream. Encryption suffers from inappropriate regulation: the DES algorithm is capped at 40 bits and cracked in a few seconds. These pages bear the trace of the web s adolescence. Thirty years have passed. The same battles continue: data selling, advertising, monopolies.

  1. Most articles linked here are not translated from French to English.
  2. I recently noticed that Google no longer fully indexes my blog. For example, it is no longer possible to find the article on lan o. I assume this is a consequence of the explosion of AI-generated content or a change in priorities for Google.

6 February 2026

Reproducible Builds: Reproducible Builds in January 2026

Welcome to the first monthly report in 2026 from the Reproducible Builds project! These reports outline what we ve been up to over the past month, highlighting items of news from elsewhere in the increasingly-important area of software supply-chain security. As ever, if you are interested in contributing to the Reproducible Builds project, please see the Contribute page on our website.

  1. Flathub now testing for reproducibility
  2. Reproducibility identifying projects that will fail to build in 2038
  3. Distribution work
  4. Tool development
  5. Two new academic papers
  6. Upstream patches

Flathub now testing for reproducibility Flathub, the primary repository/app store for Flatpak-based applications, has begun checking for build reproducibility. According to a recent blog post:
We have started testing binary reproducibility of x86_64 builds targeting the stable repository. This is possible thanks to flathub-repro-checker, a tool doing the necessary legwork to recreate the build environment and compare the result of the rebuild with what is published on Flathub. While these tests have been running for a while now, we have recently restarted them from scratch after enabling S3 storage for diffoscope artifacts.
The test results and status is available on their reproducible builds page.

Reproducibility identifying software projects that will fail to build in 2038 Longtime Reproducible Builds developer Bernhard M. Wiedemann posted on Reddit on Y2K38 commemoration day T-12 that is to say, twelve years to the day before the UNIX Epoch will no longer fit into a signed 32-bit integer variable on 19th January 2038. Bernhard s comment succinctly outlines the problem as well as notes some of the potential remedies, as well as links to a discussion with the GCC developers regarding adding warnings for int time_t conversions . At the time of publication, Bernhard s topic had generated 50 comments in response.

Distribution work Conda is language-agnostic package manager which was originally developed to help Python data scientists and is now a popular package manager for Python and R. conda-forge, a community-led infrastructure for Conda recently revamped their dashboards to rebuild packages straight to track reproducibility. There have been changes over the past two years to make the conda-forge build tooling fully reproducible by embedding the lockfile of the entire build environment inside the packages.
In Debian this month:
In NixOS this month, it was announced that the GNU Guix Full Source Bootstrap was ported to NixOS as part of Wire Jansen bachelor s thesis (PDF). At the time of publication, this change has landed in NiX stdev distribution.
Lastly, Bernhard M. Wiedemann posted another openSUSE monthly update for his work there.

Tool development diffoscope is our in-depth and content-aware diff utility that can locate and diagnose reproducibility issues. This month, Chris Lamb made the following changes, including preparing and uploading versions, 310 and 311 to Debian.
  • Fix test compatibility with u-boot-tools version 2026-01. [ ]
  • Drop the implied Rules-Requires-Root: no entry in debian/control. [ ]
  • Bump Standards-Version to 4.7.3. [ ]
  • Reference the Debian ocaml package instead of ocaml-nox. (#1125094)
  • Apply a patch by Jelle van der Waa to adjust a test fixture match new lines. [ ]
  • Also the drop implied Priority: optional from debian/control. [ ]

In addition, Holger Levsen uploaded two versions of disorderfs, first updating the package from FUSE 2 to FUSE 3 as described in last months report, as well as updating the packaging to the latest Debian standards. A second upload (0.6.2-1) was subsequently made, with Holger adding instructions on how to add the upstream release to our release archive and incorporating changes by Roland Clobus to set _FILE_OFFSET_BITS on 32-bit platforms, fixing a build failure on 32-bit systems. Vagrant Cascadian updated diffoscope in GNU Guix to version 311-2-ge4ec97f7 and disorderfs to 0.6.2.

Two new academic papers Julien Malka, Stefano Zacchiroli and Th o Zimmermann of T l com Paris in-house research laboratory, the Information Processing and Communications Laboratory (LTCI) published a paper this month titled Docker Does Not Guarantee Reproducibility:
[ ] While Docker is frequently cited in the literature as a tool that enables reproducibility in theory, the extent of its guarantees and limitations in practice remains under-explored. In this work, we address this gap through two complementary approaches. First, we conduct a systematic literature review to examine how Docker is framed in scientific discourse on reproducibility and to identify documented best practices for writing Dockerfiles enabling reproducible image building. Then, we perform a large-scale empirical study of 5,298 Docker builds collected from GitHub workflows. By rebuilding these images and comparing the results with their historical counterparts, we assess the real reproducibility of Docker images and evaluate the effectiveness of the best practices identified in the literature.
A PDF of their paper is available online.
Quentin Guilloteau, Antoine Waehren and Florina M. Ciorba of the University of Basel in Sweden also published a Docker-related paper, theirs called Longitudinal Study of the Software Environments Produced by Dockerfiles from Research Artifacts:
The reproducibility crisis has affected all scientific disciplines, including computer science (CS). To address this issue, the CS community has established artifact evaluation processes at conferences and in journals to evaluate the reproducibility of the results shared in publications. Authors are therefore required to share their artifacts with reviewers, including code, data, and the software environment necessary to reproduce the results. One method for sharing the software environment proposed by conferences and journals is to utilize container technologies such as Docker and Apptainer. However, these tools rely on non-reproducible tools, resulting in non-reproducible containers. In this paper, we present a tool and methodology to evaluate variations over time in software environments of container images derived from research artifacts. We also present initial results on a small set of Dockerfiles from the Euro-Par 2024 conference.
A PDF of their paper is available online.

Miscellaneous news On our mailing list this month: Lastly, kpcyrd added a Rust section to the Stable order for outputs page on our website. [ ]

Upstream patches The Reproducible Builds project detects, dissects and attempts to fix as many currently-unreproducible packages as possible. We endeavour to send all of our patches upstream where appropriate. This month, we wrote a large number of such patches, including:

Finally, if you are interested in contributing to the Reproducible Builds project, please visit our Contribute page on our website. However, you can get in touch with us via:

4 February 2026

Ben Hutchings: FOSS activity in January 2026

3 February 2026

Valhalla's Things: A Day Off

Posted on February 3, 2026
Tags: madeof:atoms, madeof:bits
Today I had a day off. Some of it went great. Some less so. I woke up, went out to pay our tribute to NotOurCat, and it was snowing! yay! And I had a day off, so if it had snowed enough that shovelling was needed, I had time to do it (it didn t, it started to rain soon afterwards, but still, YAY snow!). Then I had breakfast, with the fruit rye bread I had baked yesterday, and I treated myself to some of the strong Irish tea I have left, instead of the milder ones I want to finish before buying more of the Irish. And then, I bought myself a fancy new expensive fountain pen. One that costs 16 ! more than three times as much as my usual ones! I hope it will work as well, but I m quite confident it should. I ll find out when it arrives from Germany (together with a few ink samples that will result in a future blog post with some SCIENCE). I decided to try and use bank transfers instead of my visa debit card when buying from online shops that give the option to do so: it s a tiny bit more effort, but it means I m paying 0.25 to my bank1 rather than the seller having to pay some unknown amount to an US based payment provider. Unluckily, the fountain pen website offered a huge number of payment methods, but not bank transfers. sigh. And then, I could start working a bit on the connecting wires for the LED strips for our living room: I soldered two pieces, six wires each (it s one RGB strip, 4 pins, and a warm white one requiring two more), then did a bit of tests, including writing some micropython code to add a test mode that lights up each colour in sequence, and the morning was almost gone. For some reason this project, as simple as it is, is taking forever. But it is showing progress. There was a break, when the postman delivered a package of chemicals 2 for a future project or two. There will be blog posts! After lunch I spent some time finishing eyelets on the outfit I wanted to wear this evening, as I had not been able to finish it during fosdem. This one will result in two blog posts! Meanwhile, in the morning I didn t remember the name of the program I used to load software on micropython boards such as the one that will control the LED strips (that s thonny), and while searching for it in the documentation, I found that there is also a command line program I can use, mpremote, and that s a much better fit for my preferences! I mentioned it in an xmpp room full of nerds, and one of them mentioned that he could try it on his Inkplate, when he had time, and I was nerd-sniped into trying it on mine, which had been sitting unused showing the temperatures in our old house on the last day it spent there and needs to be updated for the sensors in the new house. And that lead to the writing of some notes on how to set it up from the command line (good), and to the opening on one upstream issue (bad), because I have an old model, and the board-specific library isn t working. at all. And that s when I realized that it was 17:00, I still had to cook the bread I had been working on since yesterday evening (ciabatta, one of my favourites, but it needs almost one hour in the oven), the outfit I wanted to wear in the evening was still not wearable, the table needed cleaning and some panicking was due. Thankfully, my mother was cooking dinner, so I didn t have to do that too. I turned the oven on, sewed the shoulder seams of the bodice while spraying water on the bread every 5 minutes, and then while it was cooking on its own, started to attach a closure to the skirt, decided that a safety pin was a perfectly reasonable closure for the first day an outfit is worn, took care of the table, took care of the bread, used some twine to close the bodice, because I still haven t worked out what to use for laces, realized my bodkin is still misplaced, used a long and sharp and big needle meant for sewing mattresses instead of a bodkin, managed not to stab myself, and less than half an hour late we could have dinner. There was bread, there was Swedish crispbread, there were spreads (tuna, and beans), and vegetables, and then there was the cake that caused my mother to panic when she added her last honey to the milk and it curdled (my SO and I tried it, it had no odd taste, we decided it could be used) and it was good, although I had to get a second slice just to be 100% sure of it. And now I m exhausted, and I ve only done half of the things I had planned to do, but I d still say I ve had quite a good day.

  1. Banca Etica, so one that avoids any investment in weapons and a number of other problematic things.
  2. not food grade, except for one, but kitchen-safe.

1 February 2026

Russ Allbery: Review: Paladin's Faith

Review: Paladin's Faith, by T. Kingfisher
Series: The Saint of Steel #4
Publisher: Red Wombat Studio
Copyright: 2023
ISBN: 1-61450-614-0
Format: Kindle
Pages: 515
Paladin's Faith is the fourth book in T. Kingfisher's loosely connected series of fantasy novels about the berserker former paladins of the Saint of Steel. You could read this as a standalone, but there are numerous (spoilery) references to the previous books in the series. Marguerite, who was central to the plot of the first book in the series, Paladin's Grace, is a spy with a problem. An internal power struggle in the Red Sail, the organization that she's been working for, has left her a target. She has a plan for how to break their power sufficiently that they will hopefully leave her alone, but to pull it off she's going to need help. As the story opens, she is working to acquire that help in a very Marguerite sort of way: breaking into the office of Bishop Beartongue of the Temple of the White Rat. The Red Sail, the powerful merchant organization Marguerite worked for, makes their money in the salt trade. Marguerite has learned that someone invented a cheap and reproducible way to extract salt from sea water, thus making the salt trade irrelevant. The Red Sail wants to ensure that invention never sees the light of day, and has forced the artificer into hiding. Marguerite doesn't know where they are, but she knows where she can find out: the Court of Smoke, where the artificer has a patron.
Having grown up in Anuket City, Marguerite was familiar with many clockwork creations, not to mention all the ways that they could go horribly wrong. (Ninety-nine times out of a hundred, it was an explosion. The hundredth time, it ran amok and stabbed innocent bystanders, and the artificer would be left standing there saying, "But I had to put blades on it, or how would it rake the leaves?" while the gutters filled up with blood.)
All Marguerite needs to put her plan into motion is some bodyguards so that she's not constantly distracted and anxious about being assassinated. Readers of this series will be unsurprised to learn that the bodyguards she asks Beartongue for are paladins, including a large broody male one with serious self-esteem problems. This is, like the other books in this series, a slow-burn romance with infuriating communication problems and a male protagonist who would do well to seek out a sack of hammers as a mentor. However, it has two things going for it that most books in this series do not: a long and complex plot to which the romance takes a back seat, and Marguerite, who is not particularly interested in playing along with the expected romance developments. There are also two main paladins in this story, not just one, and the other is one of the two female paladins of the Saint of Steel and rather more entertaining than Shane. I generally like court intrigue stories, which is what fills most of this book. Marguerite is an experienced operative, so the reader gets some solid competence porn, and the paladins are fish out of water but are also unexpectedly dangerous, which adds both comedy and satisfying table-turning. I thoroughly enjoyed the maneuvering and the culture clashes. Marguerite is very good at what she does, knows it, and is entirely uninterested in other people's opinions about that, which short-circuits a lot of Shane's most annoying behavior and keeps the story from devolving into mopey angst like some of the books in this series have done. The end of this book takes the plot in a different direction that adds significantly to the world-building, but also has a (thankfully short) depths of despair segment that I endured rather than enjoyed. I am not really in the mood for bleak hopelessness in my fiction at the moment, even if the reader is fairly sure it will be temporary. But apart from that, I thoroughly enjoyed this book from beginning to end. When we finally meet the artificer, they are an absolute delight in that way that Kingfisher is so good at. The whole story is infused with the sense of determined and competent people refusing to stop trying to fix problems. As usual, the romance was not for me and I think the book would have been better without it, but it's less central to the plot and therefore annoyed me less than any of the books in this series so far. My one major complaint is the lack of gnoles, but we get some new and intriguing world-building to make up for it, along with a setup for a fifth book that I am now extremely curious about. By this point in the series, you probably know if you like the general formula. Compared to the previous book, Paladin's Hope, I thought Paladin's Faith was much stronger and more interesting, but it's clearly of the same type. If, like me, you like the plots but not the romance, the plot here is more substantial. You will have to decide if that makes up for a romance in the typical T. Kingfisher configuration. Personally, I enjoyed this quite a bit, except for the short bleak part, and I'm back to eagerly awaiting the next book in the series. Rating: 8 out of 10

30 January 2026

Utkarsh Gupta: FOSS Activites in January 2026

Here s my monthly but brief update about the activities I ve done in the FOSS world.

Debian
Whilst I didn t get a chance to do much, here are still a few things that I worked on:
  • A few discussions with the new DFSG team, et al.
  • Assited a few folks in getting their patches submitted via Salsa.
  • Reviewing pyenv MR for Ujjwal.
  • Mentoring for newcomers.
  • Moderation of -project mailing list.

Ubuntu
I joined Canonical to work on Ubuntu full-time back in February 2021. Whilst I can t give a full, detailed list of things I did, here s a quick TL;DR of what I did:
  • Successfully released Resolute Snapshot 3!
    • This one was also done without the ISO tracker and cdimage access.
    • We also worked very hard to build and promote all the image in due time.
  • Worked further on the whole artifact signing story for cdimage.
  • Assisted a bunch of folks with my Archive Admin and Release team hats to:
    • Helped in EOL ing Plucky.
    • Starting to help with the upcoming 24.04.4 release.
  • With that, the mid-cycle sprints are around the corner, so quite busy preparing for that.

Debian (E)LTS
This month I have worked 59 hours on Debian Long Term Support (LTS) and on its sister Extended LTS project and did the following things:

Released Security Updates

Work in Progress
  • knot-resolver: Affected by CVE-2023-26249, CVE-2023-46317, and CVE-2022-40188, leading to Denial of Service.
  • ruby-rack: There were multiple vulnerabilities reported in Rack, leading to DoS (memory exhaustion) and proxy bypass.
    • [ELTS]: After completing the work for LTS myself, Bastien picked it up for ELTS and reached out about an upstream regression and we ve been doing some exchanges. Bastien has done most of the work backporting the patches but needs a review and help backporting CVE-2025-61771. Haven t made much progress since last month and will carry it over.
  • node-lodash: Affected by CVE-2025-13465, lrototype pollution in baseUnset function.
    • [stable]: The patch for trixie and bookworm are ready but haven t been uploaded yet as I d like for the unstable upload to settle a bit before I proceed with stable uploads.
    • [LTS]: The bullseye upload will follow once the stable uploads are in and ACK d by the SRMs.
  • xrdp: Affected by CVE-2025-68670, leading to a stack-based buffer overflow.

Other Activities
  • [ELTS] Helped Bastien Roucaries debug a tomcat9 regression for buster.
    • I spent quite a lot of time trying to help Bastien (with Markus and Santiago involved via mail thread) by reproducing the regression that the user(s) reported.
    • I also helped suggest a path forward by vendoring everything, which I was then requested to also help perform.
    • Whilst doing that, I noticed circular dependency hellhole and suggested another path forward by backporting bnd and its dependencies as separate NEW packages.
    • Bastien liked the idea and is going to work on that but preferred to revert the update to remedy the immediate regressions reported. I further helped him in reviewing his update. This conversation happened on #debian-elts IRC channel.
  • [LTS] Assisted Ben Hutchings with his question about the next possible steps with a plausible libvirt regression caused by the Linux kernel update. This was a thread on debian-lts@ mailing list.
  • [LTS] Attended the monthly LTS meeting on IRC. Summary here.
  • [E/LTS] Monitored discussions on mailing lists, IRC, and all the documentation updates.

Until next time.
:wq for today.

27 January 2026

Elana Hashman: A beginner's guide to improving your digital security

In 2017, I led a series of workshops aimed at teaching beginners a better understanding of encryption, how the internet works, and their digital security. Nearly a decade later, there is still a great need to share reliable resources and guides on improving these skills. I have worked professionally in computer security one way or another for well over a decade, at many major technology companies and in many open source software projects. There are many inaccurate and unreliable resources out there on this subject, put together by well-meaning people without a background in security, which can lead to sharing misinformation, exaggeration and fearmongering. I hope that I can offer you a trusted, curated list of high impact things that you can do right now, using whichever vetted guide you prefer. In addition, I also include how long it should take, why you should do each task, and any limitations. This guide is aimed at improving your personal security, and does not apply to your work-owned devices. Always assume your company can monitor all of your messages and activities on work devices. What can I do to improve my security right away? I put together this list in order of effort, easiest tasks first. You should be able to complete many of the low effort tasks in a single hour. The medium to high effort tasks are very much worth doing, but may take you a few days or even weeks to complete them. Low effort (<15 minutes) Upgrade your software to the latest versions Why? I don't know anyone who hasn't complained about software updates breaking features, introducing bugs, and causing headaches. If it ain't broke, why upgrade, right? Well, alongside all of those annoying bugs and breaking changes, software updates also include security fixes, which will protect your device from being exploited by bad actors. Security issues can be found in software at any time, even software that's been available for many years and thought to be secure. You want to install these as soon as they are available. Recommendation: Turn on automatic upgrades and always keep your devices as up-to-date as possible. If you have some software you know will not work if you upgrade it, at least be sure to upgrade your laptop and phone operating system (iOS, Android, Windows, etc.) and web browser (Chrome, Safari, Firefox, etc.). Do not use devices that do not receive security support (e.g. old Android or iPhones). Guides: Limitations: This will prevent someone from exploiting known security issues on your devices, but it won't help if your device was already compromised. If this is a concern, doing a factory reset, upgrade, and turning on automatic upgrades may help. This also won't protect against all types of attacks, but it is a necessary foundation. Use Signal Why? Signal is a trusted, vetted, secure messaging application that allows you to send end-to-end encrypted messages and make video/phone calls. This means that only you and your intended recipient can decrypt the messages and someone cannot intercept and read your messages, in contrast to texting (SMS) and other insecure forms of messaging. Other applications advertise themselves as end-to-end encrypted, but Signal provides the strongest protections. Recommendation: I recommend installing the Signal app and using it! My mom loves that she can video call me on Wi-Fi on my Android phone. It also supports group chats. I use it as a secure alternative to texting (SMS) and other chat platforms. I also like Signal's "disappearing messages" feature which I enable by default because it automatically deletes messages after a certain period of time. This avoids your messages taking up too much storage. Guides: Limitations: Signal is only able to protect your messages in transit. If someone has access to your phone or the phone of the person you sent messages to, they will still be able to read them. As a rule of thumb, if you don't want someone to read something, don't write it down! Meet in person or make an encrypted phone call where you will not be overheard. If you are talking to someone you don't know, assume your messages are as public as posting on social media. Set passwords and turn on device encryption Why? Passwords ensure that someone else can't unlock your device without your consent or knowledge. They also are required to turn on device encryption, which protects your information on your device from being accessed when it is locked. Biometric (fingerprint or face ID) locking provides some privacy, but your fingerprint or face ID can be used against your wishes, whereas if you are the only person who knows your password, only you can use it. Recommendation: Always set passwords and have device encryption enabled in order to protect your personal privacy. It may be convenient to allow kids or family members access to an unlocked device, but anyone else can access it, too! Use strong passwords that cannot be guessed avoid using names, birthdays, phone numbers, addresses, or other public information. Using a password manager will make creating and managing passwords even easier. Disable biometric unlock, or at least know how to disable it. Most devices will enable disk encryption by default, but you should double-check. Guides: Limitations: If your device is unlocked, the password and encryption will provide no protections; the device must be locked for this to protect your privacy. It is possible, though unlikely, for someone to gain remote access to your device (for example through malware or stalkerware), which would bypass these protections. Some forensic tools are also sophisticated enough to work with physical access to a device that is turned on and locked, but not a device that is turned off/freshly powered on and encrypted. If you lose your password or disk encryption key, you may lose access to your device. For this reason, Windows and Apple laptops can make a cloud backup of your disk encryption key. However, a cloud backup can potentially be disclosed to law enforcement. Install an ad blocker Why? Online ad networks are often exploited to spread malware to unsuspecting visitors. If you've ever visited a regular website and suddenly seen an urgent, flashing pop-up claiming your device was hacked, it is often due to a bad ad. Blocking ads provides an additional layer of protection against these kinds of attacks. Recommendation: I recommend everyone uses an ad blocker at all times. Not only are ads annoying and disruptive, but they can even result in your devices being compromised! Guides: Limitations: Sometimes the use of ad blockers can break functionality on websites, which can be annoying, but you can temporarily disable them to fix the problem. These may not be able to block all ads or all tracking, but they make browsing the web much more pleasant and lower risk! Some people might also be concerned that blocking ads might impact the revenue of their favourite websites or creators. In this case, I recommend either donating directly or sharing the site with a wider audience, but keep using the ad blocker for your safety. Enable HTTPS-Only Mode Why? The "S" in "HTTPS" stands for "secure". This feature, which can be enabled on your web browser, ensures that every time you visit a website, your connection is always end-to-end encrypted (just like when you use Signal!) This ensures that someone can't intercept what you search for, what pages on websites you visit, and any information you or the website share such as your banking details. Recommendation: I recommend enabling this for everyone, though with improvements in web browser security and adoption of HTTPS over the years, your devices will often do this by default! There is a small risk you will encounter some websites that do not support HTTPS, usually older sites. Guides: Limitations: HTTPS protects the information on your connection to a website. It does not hide or protect the fact that you visited that website, only the information you accessed. If the website is malicious, HTTPS does not provide any protection. In certain settings, like when you use a work-managed computer that was set up for you, it can still be possible for your IT Department to see what you are browsing, even over an HTTPS connection, because they have administrator access to your computer and the network. Medium to high effort (1+ hours) These tasks require more effort but are worth the investment. Set up a password manager Why? It is not possible for a person to remember a unique password for every single website and app that they use. I have, as of writing, 556 passwords stored in my password manager. Password managers do three important things very well:
  1. They generate secure passwords with ease. You don't need to worry about getting your digits and special characters just right; the app will do it for you, and generate long, secure passwords.
  2. They remember all your passwords for you, and you just need to remember one password to access all of them. The most common reason people's accounts get hacked online is because they used the same password across multiple websites, and one of the websites had all their passwords leaked. When you use a unique password on every website, it doesn't matter if your password gets leaked!
  3. They autofill passwords based on the website you're visiting. This is important because it helps prevent you from getting phished. If you're tricked into visiting an evil lookalike site, your password manager will refuse to fill the password.
Recommendation: These benefits are extremely important, and setting up a password manager is often one of the most impactful things you can do for your digital security. However, they take time to get used to, and migrating all of your passwords into the app (and immediately changing them!) can take a few minutes at a time... over weeks. I recommend you prioritize the most important sites, such as your email accounts, banking/financial sites, and cellphone provider. This process will feel like a lot of work, but you will get to enjoy the benefits of never having to remember new passwords and the autofill functionality for websites. My recommended password manager is 1Password, but it stores passwords in the cloud and costs money. There are some good free options as well if cost is a concern. You can also use web browser- or OS-based password managers, but I do not prefer these. Guides: Limitations: Many people are concerned about the risk of using a password manager causing all of their passwords to be compromised. For this reason, it's very important to use a vetted, reputable password manager that has passed audits, such as 1Password or Bitwarden. It is also extremely important to choose a strong password to unlock your password manager. 1Password makes this easier by generating a secret to strengthen your unlock password, but I recommend using a long, memorable password in any case. Another risk is that if you forget your password manager's password, you will lose access to all your passwords. This is why I recommend 1Password, which has you set up an Emergency Kit to recover access to your account. Set up two-factor authentication (2FA) for your accounts Why? If your password is compromised in a website leak or due to a phishing attack, two-factor authentication will require a second piece of information to log in and potentially thwart the intruder. This provides you with an extra layer of security on your accounts. Recommendation: You don't necessarily need to enable 2FA on every account, but prioritize enabling it on your most important accounts (email, banking, cellphone, etc.) There are typically a few different kinds: email-based (which is why your email account's security is so important), text message or SMS-based (which is why your cell phone account's security is so important), app-based, and hardware token-based. Email and text message 2FA are fine for most accounts. You may want to enable app- or hardware token-based 2FA for your most sensitive accounts. Guides: Limitations: The major limitation is that if you lose access to 2FA, you can be locked out of an account. This can happen if you're travelling abroad and can't access your usual cellphone number, if you break your phone and you don't have a backup of your authenticator app, or if you lose your hardware-based token. For this reason, many websites will provide you with "backup tokens" you can print them out and store them in a secure location or use your password manager. I also recommend if you use an app, you choose one that will allow you to make secure backups, such as Ente. You are also limited by the types of 2FA a website supports; many don't support app- or hardware token-based 2FA. Remove your information from data brokers Why? This is a problem that mostly affects people in the US. It surprises many people that information from their credit reports and other public records is scraped and available (for free or at a low cost) online through "data broker" websites. I have shocked friends who didn't believe this was an issue by searching for their full names and within 5 minutes being able to show them their birthday, home address, and phone number. This is a serious privacy problem! Recommendation: Opt out of any and all data broker websites to remove this information from the internet. This is especially important if you are at risk of being stalked or harassed. Guides: Limitations: It can take time for your information to be removed once you opt out, and unfortunately search engines may have cached your information for a while longer. This is also not a one-and-done process. New data brokers are constantly popping up and some may not properly honour your opt out, so you will need to check on a regular basis (perhaps once or twice a year) to make sure your data has been properly scrubbed. This also cannot prevent someone from directly searching public records to find your information, but that requires much more effort. "Recommended security measures" I think beginners should avoid We've covered a lot of tasks you should do, but I also think it's important to cover what not to do. I see many of these tools recommended to security beginners, and I think that's a mistake. For each tool, I will explain my reasoning around why I don't think you should use it, and the scenarios in which it might make sense to use. "Secure email" What is it? Many email providers, such as Proton Mail, advertise themselves as providing secure email. They are often recommended as a "more secure" alternative to typical email providers such as GMail. What's the problem? Email is fundamentally insecure by design. The email specification (RFC-3207) states that any publicly available email server MUST NOT require the use of end-to-end encryption in transit. Email providers can of course provide additional security by encrypting their copies of your email, and providing you access to your email by HTTPS, but the messages themselves can always be sent without encryption. Some platforms such as Proton Mail advertise end-to-end encrypted emails so long as you email another Proton user. This is not truly email, but their own internal encrypted messaging platform that follows the email format. What should I do instead? Use Signal to send encrypted messages. NEVER assume the contents of an email are secure. Who should use it? I don't believe there are any major advantages to using a service such as this one. Even if you pay for a more "secure" email provider, the majority of your emails will still be delivered to people who don't. Additionally, while I don't use or necessarily recommend their service, Google offers an Advanced Protection Program for people who may be targeted by state-level actors. PGP/GPG Encryption What is it? PGP ("Pretty Good Privacy") and GPG ("GNU Privacy Guard") are encryption and cryptographic signing software. They are often recommended to encrypt messages or email. What's the problem? GPG is decades old and its usability has always been terrible. It is extremely easy to accidentally send a message that you thought was encrypted without encryption! The problems with PGP/GPG have been extensively documented. What should I do instead? Use Signal to send encrypted messages. Again, NEVER use email for sensitive information. Who should use it? Software developers who contribute to projects where there is a requirement to use GPG should continue to use it until an adequate alternative is available. Everyone else should live their lives in PGP-free bliss. Installing a "secure" operating system (OS) on your phone What is it? There are a number of self-installed operating systems for Android phones, such as GrapheneOS, that advertise as being "more secure" than using the version of the Android operating system provided by your phone manufacturer. They often remove core Google APIs and services to allow you to "de-Google" your phone. What's the problem? These projects are relatively niche, and don't have nearly enough resourcing to be able to respond to the high levels of security pressure Android experiences (such as against the forensic tools I mentioned earlier). You may suddenly lose security support with no notice, as with CalyxOS. You need a high level of technical know-how and a lot of spare time to maintain your device with a custom operating system, which is not a reasonable expectation for the average person. By stripping all Google APIs such as Google Play Services, some useful apps can no longer function. And some law enforcement organizations have gone as far as accusing people who install GrapheneOS on Pixel phones to be engaging in criminal activity. What should I do instead? For the best security on an Android device, use a phone manufactured by Google or Samsung (smaller manufacturers are more unreliable), or consider buying an iPhone. Make sure your device is receiving security updates and up-to-date. Who should use it? These projects are great for tech enthusiasts who are interested in contributing to and developing them further. They can be used to give new life to old phones that are not receiving security or software updates. They are also great for people with an interest in free and open source software and digital autonomy. But these tools are not a good choice for a general audience, nor do they provide more practical security than using an up-to-date Google or Samsung Android phone. Virtual Private Network (VPN) Services What is it? A virtual private network or VPN service can provide you with a secure tunnel from your device to the location that the VPN operates. This means that if I am using my phone in Seattle connected to a VPN in Amsterdam, if I access a website, it appears to the website that my phone is located in Amsterdam. What's the problem? VPN services are frequently advertised as providing security or protection from nefarious bad actors, or helping protect your privacy. These benefits are often far overstated, and there are predatory VPN providers that can actually be harmful. It costs money and resources to provide a VPN, so free VPN services are especially suspect. When you use a VPN, the VPN provider knows the websites you are visiting in order to provide you with the service. Free VPN providers may sell this data in order to cover the cost of providing the service, leaving you with less security and privacy. The average person does not have the knowledge to be able to determine if a VPN service is trustworthy or not. VPNs also don't provide any additional encryption benefits if you are already using HTTPS. They may provide a small amount of privacy benefit if you are connected to an untrusted network with an attacker. What should I do instead? Always use HTTPS to access websites. Don't connect to untrusted internet providers for example, use cellphone network data instead of a sketchy Wi-Fi access point. Your local neighbourhood coffee shop is probably fine. Who should use it? There are three main use cases for VPNs. The first is to bypass geographic restrictions. A VPN will cause all of your web traffic to appear to be coming from another location. If you live in an area that has local internet censorship policies, you can use a VPN to access the internet from a location that lacks such policies. The second is if you know your internet service provider is actively hostile or malicious. A trusted VPN will protect the visibility of all your traffic, including which websites you visit, from your internet service provider, and the only thing they will be able to see is that you are accessing a VPN. The third use case is to access a network that isn't connected to the public internet, such as a corporate intranet. I strongly discourage the use of VPNs for "general-purpose security." Tor What is it? Tor, "The Onion Router", is a free and open source software project that provides anonymous networking. Unlike with a VPN, where the VPN provider knows who you are and what websites you are requesting, Tor's architecture makes it extremely difficult to determine who sent a request. What's the problem? Tor is difficult to set up properly; similar to PGP-encrypted email, it is possible to accidentally not be connected to Tor and not know the difference. This usability has improved over the years, but Tor is still not a good tool for beginners to use. Due to the way Tor works, it is also extremely slow. If you have used cable or fiber internet, get ready to go back to dialup speeds. Tor also doesn't provide perfect privacy and without a strong understanding of its limitations, it can be possible to deanonymize someone despite using it. Additionally, many websites are able to detect connections from the Tor network and block them. What should I do instead? If you want to use Tor to bypass censorship, it is often better to use a trusted VPN provider, particularly if you need high bandwidth (e.g. for streaming). If you want to use Tor to access a website anonymously, Tor itself might not be enough to protect you. For example, if you need to provide an email address or personal information, you can decline to provide accurate information and use a masked email address. A friend of mine once used the alias "Nunya Biznes" Who should use it? Tor should only be used by people who are experienced users of security tools and understand its strengths and limitations. Tor also is best used on a purpose-built system, such as Tor Browser or Freedom of the Press Foundation's SecureDrop. I want to learn more! I hope you've found this guide to be a useful starting point. I always welcome folks reaching out to me with questions, though I might take a little bit of time to respond. You can always email me. If there's enough interest, I might cover the following topics in a future post: Stay safe out there!

21 January 2026

Evgeni Golov: Validating cloud-init configs without being root

Somehow this whole DevOps thing is all about generating the wildest things from some (usually equally wild) template. And today we're gonna generate YAML from ERB, what could possibly go wrong?! Well, actually, quite a lot, so one wants to validate the generated result before using it to break systems at scale. The YAML we generate is a cloud-init cloud-config, and while checking that we generated a valid YAML document is easy (and we were already doing that), it would be much better if we could check that cloud-init can actually use it. Enter cloud-init schema, or so I thought. Turns out running cloud-init schema is rather broken without root privileges, as it tries to load a ton of information from the running system. This seems like a bug (or multiple), as the data should not be required for the validation of the schema itself. I've not found a way to disable that behavior. Luckily, I know Python. Enter evgeni-knows-better-and-can-write-python:
#!/usr/bin/env python3
import sys
from cloudinit.config.schema import get_schema, validate_cloudconfig_file, SchemaValidationError
try:
    valid = validate_cloudconfig_file(config_path=sys.argv[1], schema=get_schema())
    if not valid:
        raise RuntimeError("Schema is not valid")
except (SchemaValidationError, RuntimeError) as e:
    print(e)
    sys.exit(1)
The canonical1 version if this lives in the Foreman git repo, so go there if you think this will ever receive any updates. The hardest part was to understand thevalidate_cloudconfig_file API, as it will sometimes raise an SchemaValidationError, sometimes a RuntimeError and sometimes just return False. No idea why. But the above just turns it into a couple of printed lines and a non zero exit code, unless of course there are no problems, then you get peaceful silence.

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