{"id":15324,"date":"2026-10-23T15:18:21","date_gmt":"2026-10-23T15:18:21","guid":{"rendered":"https:\/\/dailyai.com\/2026\/10\/anthropic-says-claude-proved-123-open-source-libraries-cant-crash\/"},"modified":"2026-10-23T15:18:21","modified_gmt":"2026-10-23T15:18:21","slug":"anthropic-says-claude-proved-123-open-source-libraries-cant-crash","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2026\/10\/anthropic-says-claude-proved-123-open-source-libraries-cant-crash\/","title":{"rendered":"Anthropic Says Claude Proved 123 Open-Source Libraries Can&#8217;t Crash"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><strong>Anthropic says Claude has mathematically proven that fuzz-tested code in 123 open-source libraries can&#8217;t crash on any input under 64MB, and it found bugs along the way that years of testing had missed.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The work, <a href=\"https:\/\/www.anthropic.com\/research\/formal-verification\" target=\"_blank\" rel=\"noopener\">published by <span class=\"noTranslate\" data-no-translation=\"\">Anthropic<\/span> on October 22<\/a> with formal verification startup Theorem, covers 239 entry points from Google&#8217;s OSS-Fuzz project. Anthropic calls it the first large-scale effort to use AI to formally verify production software at the assembly code level.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">From tests to proofs<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Fuzzing throws huge numbers of random inputs at a program to see what breaks, but it can never try every input. Anthropic turned each existing fuzz test into a formal rule, &#8220;this test never crashes,&#8221; and had Claude prove it holds for every input under 64MB.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The proofs work on compiled RISC-V machine code rather than source code. Over a few weeks, Claude wrote about 180 million lines of proofs in the Rocq proof assistant, around 600,000 lines for a typical program. No human has to read them; the Rocq checker confirms each one mechanically.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Bugs testing missed<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Whenever a proof failed, Claude had found a bug, patched it and tried again. Anthropic says the effort turned up hundreds of bugs, including an out-of-bounds write in a decompressor that only appeared on inputs of about 20MB with one rare layout, and a rediscovery of a known flaw in the libexpat XML parser.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In separate tests, Claude proved the Linux kernel&#8217;s zlib code matches the format&#8217;s specification, and while trying to verify a widely used PDF reader, it found as many security bugs in one week as are typically reported in a year. Details are in the <a href=\"https:\/\/www-cdn.anthropic.com\/files\/4zrzovbb\/website\/6867eadf760258fa8b42a504600cd3c036d16358.pdf\" target=\"_blank\" rel=\"noopener\">technical appendix<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What it doesn&#8217;t prove<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Anthropic is explicit that &#8220;formally verified&#8221; doesn&#8217;t mean bug-free. The proofs assume single-threaded, statically linked RISC-V binaries on Linux, while most real deployments run on x86 or ARM. The memory checks used don&#8217;t catch every memory-safety bug, and not every entry point in each library was covered.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Cost is the other catch: proofs can take hundreds of millions of tokens. Anthropic says Claude Opus 5.5 solved half of a 36-task benchmark with about 40% fewer tokens than Opus 5, and agents that shared proofs used 17% fewer tokens.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Why it matters<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">AI is getting very good at finding bugs, as the <a href=\"https:\/\/dailyai.com\/fr\/2026\/10\/ai-helped-find-php2shell-and-the-disclosure-plan-still-broke-down\/\">PHP2Shell flaws<\/a> showed this week. Proofs are a way to show that whole classes of bugs simply aren&#8217;t there. Theorem has released a <a href=\"https:\/\/github.com\/theorem-labs\/oss-verify\/blob\/main\/.claude\/skills\/add-project\/SKILL.md\" target=\"_blank\" rel=\"noopener\"><span class=\"noTranslate\" data-no-translation=\"\">Claude<\/span> skill<\/a> for open-source maintainers who want to enrol their projects, and it <a href=\"https:\/\/theorem.dev\/blog\/verified-software-stack\/\" target=\"_blank\" rel=\"noopener\">estimates<\/a> that 95% of the machine code in the Nix software ecosystem could be verified by the end of 2027 for about $134 million.<\/p>","protected":false},"excerpt":{"rendered":"<p>Anthropic and Theorem used Claude to write 180 million lines of machine-checked proofs showing fuzz-tested code in 123 open-source libraries can&#8217;t crash, and found long-hidden bugs on the way.<\/p>","protected":false},"author":1,"featured_media":15323,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[],"class_list":["post-15324","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Claude Formal Verification: 123 Libraries Proven Crash-Free | DailyAI<\/title>\n<meta name=\"description\" content=\"Anthropic used Claude formal verification to prove code in 123 open-source libraries can&#039;t crash on inputs under 64MB, finding bugs years of fuzzing missed.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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