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
New This Week
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Latest AI Security Threats
Showing 20 of 1044 results — High severity, no patchNVIDIA Transformers4Rec: deserialization RCE
CVE-2026-24162 389-ds-base: LDAP DoS via unbounded control count
CVE-2026-9064 gnutls: DTLS packet-reorder bug DoS hits AI inference servers
CVE-2026-42009 Bert-VITS2: path traversal exposes ML training filesystem
CVE-2026-8756 Crabbox: IDOR lets viewers hijack Code/VNC/Egress
CVE-2026-8629 Crabbox: header spoofing bypasses lease auth
CVE-2026-8621 nnU-Net: prompt injection hijacks CI/CD triage agent
CVE-2026-44246 CosyVoice: RCE via unsafe torch.load() model deserialization
CVE-2026-31232 snorkel: RCE via unsafe model deserialization
CVE-2026-31224 snorkel: RCE via insecure model checkpoint loading
CVE-2026-31222 pytorch-lightning: RCE via insecure checkpoint deserialization
CVE-2026-31221 Crabbox: path traversal enables arbitrary file wipe
CVE-2026-45224 Crabbox: coordinator auth bypass via forged admin claim
CVE-2026-45223 flash-attention: RCE via unsafe checkpoint deserialization
CVE-2026-31253 LiteLLM: RCE via MCP test endpoint command injection
CVE-2026-42271 LiteLLM: SSTI in prompt template endpoint enables RCE
CVE-2026-42203 gnutls: NUL-byte username bypasses RSA-PSK auth
CVE-2026-42010 GnuTLS: DTLS fragment heap overflow, DoS on AI inference
CVE-2026-33846 Langflow: RCE exposes API keys and DB credentials
CVE-2026-6543 Langflow: IDOR exposes cross-tenant flow data and deletion
CVE-2026-6542 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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