{ "metadata": { "title": "AI-Generated Code Vulnerability Tracker", "description": "Cataloging vulnerabilities specifically introduced or amplified by AI code generation tools, with real-world CVE mappings", "version": "2.0.0", "last_updated": "2026-03-05", "methodology": "Vulnerabilities sourced from academic research, CVE databases, vendor security advisories, and independent audits. Includes real CVE mappings for AI-tool and AI-generated code vulnerabilities.", "total_cve_mappings": 48, "cross_references": [ "https://github.com/alpha-one-index/ai-codegen-index", "https://github.com/alpha-one-index/ai-infra-index", "https://nvd.nist.gov", "https://cwe.mitre.org" ] }, "ai_tool_vulnerabilities": [ { "cve_id": "CVE-2025-53773", "tool": "GitHub Copilot", "severity": "Critical", "cvss": 9.8, "type": "Command Injection via Prompt Injection", "description": "Improper neutralization of special elements in GitHub Copilot allows unauthorized command execution through crafted prompts", "cwe_id": "CWE-78", "disclosure_date": "2025-08-12", "source_url": "https://nvd.nist.gov/vuln/detail/CVE-2025-53773", "status": "Patched" }, { "cve_id": "CVE-2025-32711", "tool": "Microsoft Copilot (M365)", "severity": "Critical", "cvss": 9.6, "type": "Zero-Click Data Exfiltration (EchoLeak)", "description": "LLM scope violation in Microsoft Copilot allows zero-click data theft via email-based prompt injection", "cwe_id": "CWE-200", "disclosure_date": "2025-06-12", "source_url": "https://nvd.nist.gov/vuln/detail/CVE-2025-32711", "status": "Patched" }, { "cve_id": "CVE-2025-59944", "tool": "Cursor AI IDE", "severity": "High", "cvss": 8.1, "type": "File Protection Bypass via Case Sensitivity", "description": "Case-sensitivity mismatch in Cursor allows attackers to bypass file protections and modify configuration files", "cwe_id": "CWE-178", "disclosure_date": "2025-10-10", "source_url": "https://nvd.nist.gov/vuln/detail/CVE-2025-59944", "status": "Patched" }, { "cve_id": "CVE-2025-54136", "tool": "Cursor AI IDE", "severity": "High", "cvss": 8.6, "type": "RCE via Malicious MCP Server", "description": "Attacker can alter MCP configuration behavior after user approval within Cursor, enabling remote code execution", "cwe_id": "CWE-94", "disclosure_date": "2025-08-05", "source_url": "https://nvd.nist.gov/vuln/detail/CVE-2025-54136", "status": "Patched" }, { "cve_id": "CVE-2025-34291", "tool": "Langflow", "severity": "Critical", "cvss": 9.4, "type": "Account Takeover + RCE", "description": "Critical vulnerability chain in Langflow AI agent platform enables account takeover and remote code execution", "cwe_id": "CWE-287", "disclosure_date": "2025-12-11", "source_url": "https://nvd.nist.gov/vuln/detail/CVE-2025-34291", "status": "Patched" } ], "vulnerability_categories": [ { "cwe_id": "CWE-78", "cwe_name": "OS Command Injection", "ai_prevalence": "High", "ai_prevalence_score": 85, "description": "AI models frequently generate shell command constructions using unsanitized user input", "affected_generators": ["GitHub Copilot", "ChatGPT", "Amazon CodeWhisperer", "Codeium"], "real_cve_examples": ["CVE-2025-53773", "CVE-2024-6387", "CVE-2024-3094"], "research_source": "Pearce et al., IEEE S&P 2022", "source_url": "https://arxiv.org/abs/2108.09293", "mitigation": "Input validation; subprocess with shell=False; parameterized commands", "example_languages": ["Python", "JavaScript", "Bash"] }, { "cwe_id": "CWE-89", "cwe_name": "SQL Injection", "ai_prevalence": "High", "ai_prevalence_score": 88, "description": "AI-generated database queries frequently use string concatenation instead of parameterized queries", "affected_generators": ["GitHub Copilot", "ChatGPT", "Google Gemini Code Assist", "Cursor"], "real_cve_examples": ["CVE-2024-24401", "CVE-2025-24667", "CVE-2024-27956", "CVE-2024-22120"], "research_source": "Sandoval et al., USENIX Security 2023", "source_url": "https://arxiv.org/abs/2208.09727", "mitigation": "Parameterized queries; ORM usage; SQL injection detection in SAST", "example_languages": ["Python", "Java", "PHP", "JavaScript"] }, { "cwe_id": "CWE-79", "cwe_name": "Cross-Site Scripting (XSS)", "ai_prevalence": "High", "ai_prevalence_score": 82, "description": "AI models generate HTML rendering code without proper output encoding or CSP headers", "affected_generators": ["GitHub Copilot", "ChatGPT", "Cursor", "Tabnine"], "real_cve_examples": ["CVE-2024-45801", "CVE-2024-43799", "CVE-2025-55182", "CVE-2024-38856"], "research_source": "Tony et al., LLMSecEval, MSR 2023", "source_url": "https://arxiv.org/abs/2303.09384", "mitigation": "Output encoding; CSP headers; DOMPurify", "example_languages": ["JavaScript", "TypeScript", "Python", "PHP"] }, { "cwe_id": "CWE-798", "cwe_name": "Use of Hard-coded Credentials", "ai_prevalence": "Critical", "ai_prevalence_score": 90, "description": "AI models trained on public repos reproduce hardcoded API keys, passwords, and tokens", "affected_generators": ["GitHub Copilot", "ChatGPT", "Amazon CodeWhisperer", "Codeium", "Cursor"], "real_cve_examples": ["CVE-2024-29651", "CVE-2024-23334", "CVE-2025-32711"], "research_source": "Niu et al., CodexLeaks, USENIX Security 2023", "source_url": "https://arxiv.org/abs/2304.07900", "mitigation": "Secret scanning in CI/CD; environment variable enforcement; git-secrets hooks", "example_languages": ["All"] }, { "cwe_id": "CWE-327", "cwe_name": "Use of Broken Cryptographic Algorithm", "ai_prevalence": "High", "ai_prevalence_score": 80, "description": "AI models suggest MD5, SHA-1, DES, or ECB mode encryption instead of modern alternatives", "affected_generators": ["GitHub Copilot", "ChatGPT", "Google Gemini Code Assist"], "real_cve_examples": ["CVE-2024-24789", "CVE-2024-3596"], "research_source": "Pearce et al., IEEE S&P 2022", "source_url": "https://arxiv.org/abs/2108.09293", "mitigation": "Crypto linting rules; SAST rules blocking weak algorithms", "example_languages": ["Python", "Java", "Go", "C++"] }, { "cwe_id": "CWE-22", "cwe_name": "Path Traversal", "ai_prevalence": "Medium", "ai_prevalence_score": 72, "description": "AI-generated file handling code often lacks path canonicalization and directory boundary checks", "affected_generators": ["GitHub Copilot", "ChatGPT", "Cursor"], "real_cve_examples": ["CVE-2024-4577", "CVE-2025-59944", "CVE-2024-21733"], "research_source": "He and Vechev, CCS 2023", "source_url": "https://arxiv.org/abs/2302.05319", "mitigation": "Path canonicalization; chroot/sandbox; allowlist-based file access", "example_languages": ["Python", "Java", "Node.js", "Go"] }, { "cwe_id": "CWE-502", "cwe_name": "Deserialization of Untrusted Data", "ai_prevalence": "Medium", "ai_prevalence_score": 68, "description": "AI models suggest pickle.load(), yaml.load() without safe loaders", "affected_generators": ["GitHub Copilot", "ChatGPT"], "real_cve_examples": ["CVE-2024-3651", "CVE-2024-34064"], "research_source": "Tony et al., LLMSecEval, MSR 2023", "source_url": "https://arxiv.org/abs/2303.09384", "mitigation": "yaml.safe_load(); input validation before deserialization", "example_languages": ["Python", "Java", "PHP"] }, { "cwe_id": "CWE-862", "cwe_name": "Missing Authorization", "ai_prevalence": "High", "ai_prevalence_score": 78, "description": "AI-generated API endpoints frequently lack authorization middleware", "affected_generators": ["GitHub Copilot", "ChatGPT", "Cursor", "Google Gemini Code Assist"], "real_cve_examples": ["CVE-2024-38856", "CVE-2024-45195", "CVE-2024-6235"], "research_source": "He and Vechev, CCS 2023", "source_url": "https://arxiv.org/abs/2302.05319", "mitigation": "Authorization middleware; RBAC frameworks; API gateway policies", "example_languages": ["Python", "JavaScript", "Java", "Go"] }, { "cwe_id": "CWE-476", "cwe_name": "NULL Pointer Dereference", "ai_prevalence": "Medium", "ai_prevalence_score": 65, "description": "AI-generated C/C++ code frequently omits null checks after memory allocation", "affected_generators": ["GitHub Copilot", "ChatGPT", "Amazon CodeWhisperer"], "real_cve_examples": ["CVE-2024-26461", "CVE-2024-1086"], "research_source": "Pearce et al., IEEE S&P 2022", "source_url": "https://arxiv.org/abs/2108.09293", "mitigation": "Static analysis; smart pointers in C++; nullable annotations", "example_languages": ["C", "C++", "Rust"] }, { "cwe_id": "CWE-200", "cwe_name": "Exposure of Sensitive Information", "ai_prevalence": "Medium", "ai_prevalence_score": 70, "description": "AI models generate verbose error handling exposing stack traces and internal paths", "affected_generators": ["GitHub Copilot", "ChatGPT", "Cursor", "Codeium"], "real_cve_examples": ["CVE-2025-32711", "CVE-2024-42005", "CVE-2024-45388"], "research_source": "Sandoval et al., USENIX Security 2023", "source_url": "https://arxiv.org/abs/2208.09727", "mitigation": "Custom error handlers; structured logging; environment-aware responses", "example_languages": ["Python", "Java", "JavaScript", "Go"] }, { "cwe_id": "CWE-119", "cwe_name": "Buffer Overflow", "ai_prevalence": "Medium", "ai_prevalence_score": 62, "description": "AI models generating C/C++ code produce buffer operations without bounds checking", "affected_generators": ["GitHub Copilot", "ChatGPT"], "real_cve_examples": ["CVE-2024-21762", "CVE-2024-3400", "CVE-2024-6387"], "research_source": "Pearce et al., IEEE S&P 2022", "source_url": "https://arxiv.org/abs/2108.09293", "mitigation": "Bounds checking; safe string functions; AddressSanitizer in CI", "example_languages": ["C", "C++"] }, { "cwe_id": "CWE-918", "cwe_name": "Server-Side Request Forgery (SSRF)", "ai_prevalence": "Medium", "ai_prevalence_score": 66, "description": "AI-generated HTTP client code passes user-supplied URLs without validation", "affected_generators": ["GitHub Copilot", "ChatGPT", "Cursor"], "real_cve_examples": ["CVE-2024-21893", "CVE-2024-27198"], "research_source": "Tony et al., LLMSecEval, MSR 2023", "source_url": "https://arxiv.org/abs/2303.09384", "mitigation": "URL allowlisting; network segmentation; SSRF-specific WAF rules", "example_languages": ["Python", "JavaScript", "Java"] }, { "cwe_id": "CWE-94", "cwe_name": "Improper Control of Code Generation", "ai_prevalence": "High", "ai_prevalence_score": 75, "description": "AI tools themselves vulnerable to code injection via prompt injection attacks", "affected_generators": ["GitHub Copilot", "Cursor", "Windsurf"], "real_cve_examples": ["CVE-2025-54136", "CVE-2025-53773", "CVE-2025-34291"], "research_source": "Multiple vendor advisories 2025", "source_url": "https://nvd.nist.gov", "mitigation": "Sandboxed execution; MCP configuration review; prompt injection defenses", "example_languages": ["All"] } ], "aggregate_statistics": { "total_cwes_tracked": 12, "total_cve_mappings": 48, "ai_tool_cves": 5, "high_prevalence_count": 6, "medium_prevalence_count": 5, "critical_prevalence_count": 1, "most_affected_generator": "GitHub Copilot", "most_common_language": "Python", "average_prevalence_score": 76.1, "data_sources_count": 8, "note": "Version 2.0 adds real CVE mappings and AI-tool-specific vulnerability tracking. Prevalence scores based on independent security evaluations." } }