Nullgaze: Open Source AI-Supported Security Scanner Released

Nullgaze is a newly released open source security scanner designed specifically to address vulnerabilities in AI-generated code. Utilizing Claude, the project offers rapid identification of issues like hallucinated npm packages and Supabase key exposures in less than ten seconds per URL scan.
Key Details
The tool is built on a Rust and Axum backend and a Next.js 16 and React 19 frontend. Nullgaze's FSRS-6 spaced repetition engine tailors its scanning processes, dynamically adjusting the likelihood of false positives and reinforcing detection of confirmed threats. Upon detecting a false positive, the model is tuned to decrease the probability of future similar false identifications, while confirmed vulnerabilities strengthen the system's detection patterns.
Offering over 111 detection signatures, Nullgaze specializes in identifying AI-specific vulnerabilities ignored by legacy tools like Snyk and Checkmarx. It effectively pinpoints defects in Row Level Security policies and identifies AI-generated anti-patterns from platforms such as Cursor, Copilot, Lovable, and Bolt. The scanner also features a gamified user interface, rewarding developers with experience points and achievement badges to advocate for consistent security checks.
- Immediate URL scanning without account registration.
- Full source code available under AGPL-3.0 license.
- 390 tests currently define its scanning capabilities.
This tool is particularly beneficial for developers who frequently work with AI-generated code and need a more adaptive and responsive security scanning approach.
📖 Read the full source: r/ClaudeAI
👀 See Also

mcp-scan: Security scanner for MCP server configurations
mcp-scan checks MCP server configurations for security issues including secrets in config files, known vulnerabilities in packages, suspicious permission patterns, exfiltration vectors, and tool poisoning attacks. It auto-detects configs for Claude Desktop, Cursor, VS Code, Windsurf, and 6 other AI clients.

OpenObscure: Open-Source On-Device Privacy Firewall for AI Agents
OpenObscure is an open-source, on-device privacy firewall that sits between AI agents and LLM providers. It uses FF1 Format-Preserving Encryption with AES-256 to encrypt PII values before requests leave your device, maintaining data structure while protecting privacy.

OpenClaw Security Hardening: Multi-Layered Protection Against Autonomous Agent Risks
A developer modified OpenClaw's codebase to add a multi-layered security stack including a hard-deny regex guard, recursive de-obfuscator, AppArmor profile, and audit integration to prevent destructive commands and data exfiltration by autonomous agents.

Critical OpenClaw Security Vulnerabilities Patched in 2026.3.28
OpenClaw version 2026.3.28 patches 8 critical security vulnerabilities found by Ant AI Security Lab, including sandbox bypass, privilege escalation, and SSRF risks. Users on versions ≤2026.3.24 should update immediately.