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OPEN SOURCE LLM TOOL SNIFFS OUT PYTHON ZERO-DAYSOPEN SOURCE LLM TOOL SNIFFS OUT
PYTHON ZERO-DAYS

Vulnhuntr is a Python static code analyzer that uses Claude AI to find and
explain complex, multistep vulnerabilities.

Dark Reading Staff, Dark Reading

October 25, 2024

1 Min Read
Source: ProtectAI via GitHub


Researchers at Protect AI have released Vulnhuntr, a free, open source static
code analyzer tool that can find zero-day vulnerabilities in Python codebases
using Anthropic's Claude artificial intelligence (AI) model.

The tool, available on GitHub, provides detailed analysis of the code,
proof-of-concept exploits for the vulnerabilities identified, and confidence
ratings for each flaw, Protect AI said in its announcement.

Vulnhuntr breaks the codebase into smaller chunks rather than overwhelming the
large language model's (LLM) context window size by loading in the entire file
at once. The tool uses prompt-engineering techniques to feed highly detailed,
vulnerability-specific prompts into Claude, at which point the AI asks for
additional code snippets until it has gathered enough information to map the
application from user input to server output. This way, the LLM can analyze the
entire call chain — which encompasses connections between files, functions, and
variables across a project — without losing context. This level of analysis
means the AI doesn't just stop when it finds risky code, but rather investigates
how that code interacts with the rest of the project, which the research team
says helps decrease false positives and negatives.

The tool currently focuses on the following types of vulnerabilities that can be
exploited remotely: arbitrary file overwrite (AFO), local file inclusion (LFI),
server-side request forgery (SSRF), cross-site scripting (XSS), insecure direct
object references (IDOR), SQL injection (SQLi), and remote code execution (RCE).

Vulnhuntr's team says the tool has already discovered more than a dozen zero-day
vulnerabilities in popular Python projects on GitHub, including gpt_academic,
FastChat, and Ragflow. Vulnhuntr flagged a RCE flaw in the machine learning
library Ragflow, which has already been fixed.




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Dark Reading Staff

Dark Reading

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