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 patchLangflow: DoS via uncontrolled resource consumption
CVE-2026-7528NVIDIA Transformers4Rec: deserialization RCE
CVE-2026-24162libsolv: heap overflow via crafted .solv file
CVE-2026-48864389-ds-base: LDAP DoS via unbounded control count
CVE-2026-9064gnutls: DTLS packet-reorder bug DoS hits AI inference servers
CVE-2026-42009Bert-VITS2: path traversal exposes ML training filesystem
CVE-2026-8756Crabbox: IDOR lets viewers hijack Code/VNC/Egress
CVE-2026-8629Crabbox: header spoofing bypasses lease auth
CVE-2026-8621nnU-Net: prompt injection hijacks CI/CD triage agent
CVE-2026-44246CosyVoice: RCE via unsafe torch.load() model deserialization
CVE-2026-31232snorkel: RCE via unsafe model deserialization
CVE-2026-31224snorkel: RCE via insecure model checkpoint loading
CVE-2026-31222pytorch-lightning: RCE via insecure checkpoint deserialization
CVE-2026-31221Crabbox: path traversal enables arbitrary file wipe
CVE-2026-45224Crabbox: coordinator auth bypass via forged admin claim
CVE-2026-45223flash-attention: RCE via unsafe checkpoint deserialization
CVE-2026-31253LiteLLM: RCE via MCP test endpoint command injection
CVE-2026-42271LiteLLM: SSTI in prompt template endpoint enables RCE
CVE-2026-42203gnutls: NUL-byte username bypasses RSA-PSK auth
CVE-2026-42010OpenClaw: owner spoofing via bearer token header
CVE-2026-44118Frequently 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.
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