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"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."
}
}
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