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
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Latest AI Security Threats
Showing 20 of 1295 results — High severity, no patchOpenClaw: SSRF in Zalo sendPhoto exposes internal resources
CVE-2026-44116OpenClaw: heredoc shell expansion bypasses exec allowlist
CVE-2026-44115OpenClaw: dotenv namespace override enables runtime hijack
CVE-2026-44114OpenClaw: TOCTOU symlink race escapes sandbox mount
CVE-2026-44113GnuTLS: DTLS fragment heap overflow, DoS on AI inference
CVE-2026-33846Langflow: RCE exposes API keys and DB credentials
CVE-2026-6543Langflow: IDOR exposes cross-tenant flow data and deletion
CVE-2026-6542Langflow Desktop: IDOR leaks user images unauthenticated
CVE-2026-4503GnuTLS: DTLS integer underflow enables OOB read/DoS
CVE-2026-33845Flowise: unauth API key abuse via TTS endpoint IDOR
CVE-2026-41279Flowise: credential exposure in public chatflow API
CVE-2026-41278Flowise: mass assignment enables cross-workspace IDOR
CVE-2026-41277Flowise: HTTP password reset link allows MITM takeover
CVE-2026-41275Flowise: auth bypass exposes OAuth 2.0 tokens
CVE-2026-41273Flowise: SSRF bypass via DNS rebinding exposes internal networks
CVE-2026-41272Flowise: SSRF via prompt template injection in API Chain
CVE-2026-41271Flowise: SSRF bypass exposes cloud metadata services
CVE-2026-41270Flowise: unrestricted file upload enables persistent RCE
CVE-2026-41269Flowise: unauthenticated API key exposure via chatbot config
CVE-2026-41266Flowise: RCE via unsanitized input in AirtableAgent
CVE-2026-41138Frequently 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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