AI Security Threat Feed
Latest CVEs affecting AI/ML systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers. Vulnerabilities are tracked from NVD, GitHub Advisory, CISA KEV, MITRE ATLAS, and enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings to ISO 42001, EU AI Act, NIST AI RMF, and OWASP LLM Top 10. Updated continuously as new CVEs are published.
- CVSS severity
- EPSS exploit probability
- Exploitation confidence
- AI-component classification
- Compliance mappings
AI/ML CVEs Tracked
Critical
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Latest AI Security Threats
Showing 20 of 3023 resultsOpenClaw: sender allowlist bypass via Slack thread context
CVE-2026-41358 Ollama: heap OOB read leaks API keys and chat data
CVE-2026-7482 GnuTLS: DTLS fragment heap overflow, DoS on AI inference
CVE-2026-33846 Langflow: eval() code injection → remote code execution
CVE-2026-7700 Langflow: command injection in code parser enables RCE
CVE-2026-7687 SGLang: deserialization in tokenizer loader enables RCE
CVE-2026-7669 Langflow: RCE exposes API keys and DB credentials
CVE-2026-6543 Langflow: IDOR exposes cross-tenant flow data and deletion
CVE-2026-6542 Langflow: path traversal allows arbitrary file read
CVE-2026-3345 Langflow Desktop: IDOR leaks user images unauthenticated
CVE-2026-4503 Langflow: path traversal enables arbitrary file write
CVE-2026-4502 Langflow Desktop: stored XSS enables credential theft
CVE-2026-3346 IBM Langflow: SSRF enables internal network enumeration
CVE-2026-3340 Notepad++: format string bug enables DoS, info leak
CVE-2026-6539 n8n-mcp: SSRF bypass via IPv6 leaks API keys
CVE-2026-42449 GnuTLS: DTLS integer underflow enables OOB read/DoS
CVE-2026-33845 Jupyter Notebook: stored XSS enables full account takeover
CVE-2026-40171 @anthropic-ai/sdk: insecure file perms expose agent memory
CVE-2026-41686 marked: infinite recursion DoS crashes Node.js via OOM
CVE-2026-41680 openclaw: path traversal exposes host files via audio embed
GHSA-gfg9-5357-hv4c Frequently asked questions
What is an AI security threat feed?
An AI security threat feed is a continuously updated stream of vulnerabilities (CVEs) affecting AI and machine-learning systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — filtered out of the broader CVE firehose and enriched for relevance.
Which sources are the AI CVEs tracked from?
CVEs are tracked from NVD, GitHub Advisory, CISA KEV, and MITRE ATLAS, then enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings.
What AI systems do these vulnerabilities affect?
Coverage spans LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — the components most security teams now run in production.
How often is the AI threat feed updated?
The feed updates continuously as new CVEs are published and enriched, so the most recent AI/ML vulnerabilities appear at the top.
Is the AI security feed free?
Yes — the public feed is free to browse. A Pro subscription adds breaking alerts, MITRE ATLAS mappings, compliance reports (ISO 42001, EU AI Act), and full CISO analysis.
Need deeper analysis?
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