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 1074 results — Active exploitationlabel-studio: XSS enables session hijacking
CVE-2026-22033 vllm: Resource Exhaustion enables DoS
CVE-2026-22773 fickling: Deserialization enables RCE
CVE-2026-22612 fickling: Allowlist Bypass evades input filtering
CVE-2026-22609 fickling: Allowlist Bypass evades input filtering
CVE-2026-22608 fickling: Allowlist Bypass evades input filtering
CVE-2026-22607 fickling: Allowlist Bypass evades input filtering
CVE-2026-22606 BetterDocs: Info Disclosure leaks sensitive data
CVE-2025-14980 n8n: Input Validation flaw enables exploitation
CVE-2026-21858 OAI CN5G AMF: unauthenticated JSON DoS on 5G SBI interface
CVE-2025-66786 OAI CN5G AMF: Unauthenticated buffer overflow, RCE/DoS
CVE-2025-65805 monai: Path Traversal enables file access
CVE-2026-21851 AI component: Missing Auth allows unauthorized operations
CVE-2025-14371 mcp_typescript_sdk: security flaw enables exploitation
CVE-2026-0621 langflow: Missing Auth allows unauthenticated access
CVE-2026-21445 n8n: Protection Bypass circumvents security controls
CVE-2025-68668 lmdeploy: Deserialization enables RCE
CVE-2025-67729 langchain.js: Deserialization enables RCE
CVE-2025-68665 langchain-core: Deserialization enables RCE
CVE-2025-68664 local-deep-research: SSRF allows internal network access
CVE-2025-67743 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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