Vulnhuntr

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vulnhuntr is an AI code assistant that uses LLMs and static code analysis to identify remotely exploitable vulnerabilities in Python codebases. It can autonomously discover zero-day vulnerabilities by analyzing entire code call chains.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is vulnhuntr?

Vulnhuntr is an advanced AI code assistant designed for zero-shot vulnerability discovery in Python codebases. It leverages large language models (LLMs) and static code analysis to automatically create and analyze code call chains, from remote user input to server output. This enables the detection of complex, multi-step, security-bypassing vulnerabilities that traditional static analysis tools often miss. Vulnhuntr supports various vulnerability classes including LFI, AFO, RCE, XSS, SQLI, SSRF, and IDOR. It is designed to analyze GitHub repositories and requires an API key for an LLM service, with Claude being the recommended choice for better results. Users should be cautious about setting spending limits due to the potential for high LLM costs.

Best used for

Ideal for security-conscious developers and researchers who need to identify complex, multi-step vulnerabilities in Python codebases, analyze entire code call chains, and generate proof-of-concept exploits. Especially valuable for discovering zero-day vulnerabilities that traditional tools cannot detect.

Common actions

detect vulnerabilities

analyze code security

find zero-days

perform static analysis

generate exploits

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Capabilities

Key features

LLM-powered vulnerability detection
Static code analysis
Code call chain analysis
Zero-day vulnerability discovery
Supports multiple vulnerability types
Generates PoC exploits
Detailed vulnerability reports

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of vulnerabilities can Vulnhuntr detect?

Vulnhuntr is capable of identifying several classes of vulnerabilities including Local File Include (LFI), Arbitrary File Overwrite (AFO), Remote Code Execution (RCE), Cross-Site Scripting (XSS), SQL Injection (SQLI), Server-Side Request Forgery (SSRF), and Insecure Direct Object Reference (IDOR).

Which programming languages does Vulnhuntr support?

Currently, Vulnhuntr exclusively supports Python codebases. It requires Python 3.10 due to dependencies on Jedi for code parsing, and may not function reliably with other Python versions.

What LLMs can be used with Vulnhuntr?

Vulnhuntr supports Claude, GPT, and Ollama. While Ollama is included as an option, the developers recommend using Claude for better results based on their testing, as open-source models with Ollama have had difficulty structuring output correctly.

How does Vulnhuntr generate a proof-of-concept (PoC) exploit?

After analyzing a potential vulnerability, Vulnhuntr's LLM provides a final analysis that includes its reasoning, a confidence score, and a proof-of-concept exploit. This PoC demonstrates how the identified vulnerability could be exploited.

Are there any cost considerations when using Vulnhuntr?

Yes, users are cautioned to set spending limits or closely monitor costs with their chosen LLM provider. Vulnhuntr has the potential to incur significant bills as it attempts to fit as much code as possible into the LLM's context window for analysis.

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