AI crawlers burn 20% of git.kernel.org's CPU, and they're getting smarter

Creepy Crawlies

AI crawlers burn 20% of git.kernel.org's CPU, and they're getting smarter

The kernel.org team reveals that AI crawlers now account for about 98% of git.kernel.org traffic, consuming 14-16 of 90 CPU cores across five geo-distributed nodes just to render commits as HTML. Despite blocking efforts, scrapers have adapted by using residential proxies and solving proof-of-work challenges. The team is now disabling features to reduce the attack surface, acknowledging that there are no simple solutions.

Training an LLM on content produced by the LLM gives it the equivalent of a digital prion disease, so when a source is guaranteed to be LLM-free, like the entire history of kernel commits, it's worth its weight in gold as a source of training data.
  1. semiquaver

    > because apparently what we have to offer is worth spending a ton of cycles to calculate the Anubis challenge.

    This statement holds the core misapprehension behind Anubis. It’s not a ton of cycles. There is no difficulty setting that would be inconvenient for bots but usable for humans on mobile devices.

    I noticed the other day that lists.ffmpeg.org had moved to Anubis difficulty level 6, which takes ~180sec for my iPhone 17 to solve at ~100KH/s, making the site unusable. So I spent ~10 minutes vibe coding a safari extension with a native bridge to an optimized C kernel using ARM SHA256H* instructions that can do 200+ MH/s on the same device. This solves Anubis difficulty level 6 in a handful of milliseconds.

    Given the numbers and capabilities involved (a single $5K ASIC miner yields 200TH/s, a million times more hash rate than my optimized kernel running on an iPhone), I don’t see how proof of work could possibly be a sustainable strategy to keep bots out without ruining human user experience. It’s an arms race that can’t be won.

    Edit: I encourage you to try this yourself. Here's a sample prompt that ought to one-shot the task:

    > Build an iOS Safari Web Extension that accelerates Anubis proof-of-work using a native C ARM64 SHA-256 kernel. Precompute the invariant 128-byte challenge prefix, search fixed-width decimal nonces with ARM SHA-2 intrinsics and two worker threads, and target difficulty-6 solves under one second. Relay challenges from a Safari content script thro […]

  2. robotmay

    I've spent the last few days adding traps to one of my websites, ironically using LLMs of course, and I've been having quite a lot of fun doing it.

    Instead of the proof-of-work system of Anubis, I've gone down the iocaine route but implemented it in my application itself, as it's built in Elixir and causing problems for scrapers is really fun when it takes almost no server resources.

    Currently I trick bad scrapers into a fake infinite black hole path with the promise of tasty data, then serve images to them one byte at a time over 15 minutes (after sending the header quickly), bloat the responses to cost them tokens, and randomly return AI generated images of sexy toasters. I have an admin dashboard with a little leaderboard for which ones get the most stuffed, and it keeps my heart warm on these wet autumn evenings.

  3. virgoerns

    I also run a public cgit instance and get over 1M hits every day, although my pet projects are nowhere near the size or impact of kernel. I had to block (via nginx conf) cgit endpoints for diffs, blame, snapshots and historical commits, because nothing else works. Now they return 402 (payment required). I consider this my total defeat and it's killing me inside, but it is what it is.

  4. tptacek

    Tavis Ormandy called this, about Anubis, almost exactly a year ago:

    https://news.ycombinator.com/item?id=44962529

    It never really cohered as a solution. High-powered scrapers are better equipped to handle proof-of-work challenges than end users. Proof of work makes sense for a password hash, where any one guess at a password provides zero marginal utility. But every request from a scraper is productive to the scraper.

  5. jdnier

    I really enjoyed the writing style in this article.

    And the bot progression from "alter user agent" to "change IP addresses" to providers having to ban whole subnets, whole ASNs, and realizing "proxy SDK monetization" is a thing mirrors threat actor progression from the time before LLMs.

  6. mzajc

    > Why is git.kernel.org “interesting” to crawlers

    I think the post underestimates just how little thought and effort is put into these bots. I also run a cgit instance with far less interesting projects, and am not spared from the deluge of HTTP requests.

    The explanation I could come up with is that they try to crawl all links regardless of how much sense it makes or how much load it causes. cgit being cgit, this means billions of links for all combinations of parameters and hashes. That, or it's a deliberate DDoS attack.

  7. Demiurge

    I maintain a formerly popular gaming website, and it used to have hundreds of legitimate requests per second. The load would be especially high during popular event times. So, it’s always been running on a dedicated server.

    It also has an “online users” counter, which attempted to count real user sessions of unauthenticated user which still maintained a session, which lets them comment, or modify certain filter and display options. It never counted the Google bot.

    Over the last few years this counter went from 100-200 users online to thousands. I have been very hands-off with it for many years, doing minor upgrades and backups. However, the site also has gotten quite slow, these sessions were obviously impacting it. So, I finally investigated these crawlers, and yes, it turns out it’s an insane amount of traffic that is entirely artificial, the site has just a handful of real users, and thousands of these crawling sessions that actually try to do everything they can, click every button. It doesn’t help that sort and search were implemented using GET links.

    I fixed the counter to exclude the crawlers, but I have a bit of a dilemma. I don’t want to stop the bots from updating their knowledge based on all the content.

    The best solution I could find is the new CloudFlare feature where they might charge the crawlers for every request, or otherwise block them. I think that’s a fantastic idea for the internet, at large. I signed up for the beta access, but haven’t heard from them ag […]

  8. Waterluvian

    > It was immediately extremely effective — the bots just gave up. For a few months, it was bliss: bots were blocked at the perimeter and gave up, moving on to easier targets; the users were mildly annoyed but tolerated it, and the Anubis stack was easy enough to deploy everywhere.

    As a tech person who works with tech people, I have become extremely sensitive to this kind of bias. Is this solution actually better? Is the CPU cost actually worse than mildly annoying everyone, or is it a problem being solved because it “offends the senses?”

    I’m not leaning towards yes or no for this instance. But I regularly see people jumping to conclusions without measuring. What is the cost of 20% and is that cost worth “mildly annoying” everyone?

  9. javcasas

    At this point they are using residential proxies and stuff, and increasing the difficulty level is not going to help, among other things because they don't pay for it.

    Why cannot we turn this whole proof of work thing into an official "help mining $SHITCOIN"? I mean, if they really want the data that badly, at least have them pay the hosting with their CPU/GPU/ASIC cycles.

  10. easton

    Side note: why are shallow clones evil? I always thought they were cheaper, but I guess that’s really just for my disk space. (since the server has to compute what blobs to give you instead of just “everything”?)

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