Hacker AI
Hacker AI: AI-Powered Source Code Vulnerability Scanner
Hacker AI scans your source code with artificial intelligence to uncover hidden security flaws, delivering a detailed vulnerability report straight to your inbox in minutes.
Overview
Hacker AI is an AI-driven code auditing platform built for developers and cybersecurity teams who need fast, reliable insight into the security of their codebase. Developed by a Toulouse-based French company and powered by a Large Language Model, the tool analyzes uploaded source code to identify exploitable weaknesses such as SQL injection, Local File Inclusion, and Remote Code Execution flaws across a wide range of programming languages. Rather than relying on slow manual audits, Hacker AI automates the process so teams can catch vulnerabilities before attackers do.
The workflow is intentionally frictionless: simply zip your project, upload it, and receive a comprehensive vulnerability report by email within about ten minutes—no account required for a first analysis. This makes it equally useful for a solo freelancer running a one-off security check or an enterprise seeking recurring audits integrated into CI/CD pipelines. With flexible pricing tiers and strong privacy commitments, including no data used for training and automatic deletion post-analysis, Hacker AI positions itself as a practical bridge between traditional penetration testing and modern AI-assisted code review.
Capabilities & Features
- AI
- Artificial Intelligence
- Source Code Analysis
- Vulnerability Detection
- Cybersecurity
- Code Review
- Security Audit
- Static Analysis
- SAST
- Software Security
- Bug Bounty
- CI/CD Integration
Core Features
- AI-powered vulnerability scanning using a Large Language Model
- Automated source code audit reports delivered via email
- Broad language support including Python, JavaScript, PHP, Rust, Java, and more
- Fast turnaround with reports generated in about 10 minutes
- No-signup option for quick initial analysis
- Privacy safeguards including data deletion and optional NDAs
Use Cases
- Scanning Python applications for SQL injection risks before deployment
- Auditing PHP codebases for Local File Inclusion vulnerabilities
- Checking Rust projects for potential Remote Code Execution exploits
- Running a one-time deep security review before a product launch
- Embedding automated vulnerability checks into CI/CD pipelines for continuous monitoring
Best For
- Cybersecurity professionals
- Software developers
- Security auditors
- Freelance consultants
- Enterprises with recurring audit needs
- Cybersecurity agencies
Pros
- •Delivers vulnerability reports in as little as 10 minutes
- •Supports a wide array of popular programming languages
- •No account creation needed for a first-time scan
- •Strong data privacy stance with automatic deletion and NDA options
- •Flexible plans ranging from one-off audits to enterprise contracts
Cons
- •AI-based detection may produce false positives or miss context-specific issues that manual pentesting would catch
- •Monthly Freelance plan caps analyses at 10 per month, which may limit larger teams
- •Enterprise pricing isn't transparent and requires direct contact
- •Zip-upload workflow may not suit teams wanting deep native CI/CD integration out of the box
How to Use
1. Compress your entire project's source code into a single Zip file. 2. Upload the Zip archive to the Hacker AI platform—no account signup is needed for an initial scan. 3. Wait as the AI analyzes your codebase for known vulnerability patterns. 4. Receive a detailed vulnerability detection report via email within roughly 10 minutes. 5. Review the findings and remediate flagged issues, or request an NDA/private instance for sensitive projects.
Frequently Asked Questions
Pricing
Plans start at 119€/month for the Freelance tier (10 analyses/month), a 449€ one-time 'One Shot' option for a single deep audit, and custom Enterprise pricing for larger, ongoing needs.
Pricing data is provided as a summary. Visit the vendor website for full tier details.