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 1010 results — Active exploitation, no patchOpenAI Atlas: XSS enables browser history exfiltration
CVE-2026-11326 Milvus: weak hash allows RBAC grantee impersonation
CVE-2026-10814 LMCache: weak hash enables KV cache integrity bypass
CVE-2026-10813 ms-swift: weak hash enables image cache poisoning
CVE-2026-10801 jupyter-server: CORS bypass enables arbitrary code execution
CVE-2026-6657 jupyter-server: path traversal exposes sibling dir files
CVE-2026-5422 hermes-agent: auth bypass exposes Anthropic API credentials
CVE-2026-10548 F5-TTS: path traversal enables arbitrary file write
CVE-2026-43624 Poppler: PDF integer overflow enables heap RCE
CVE-2026-10118 Edimax BR-6478AC: RCE via command injection in Wi-Fi handler
CVE-2026-10166 Edimax BR-6478AC: RCE via rootAPmac command injection
CVE-2026-10127 BoxLite: sandbox timeout bypass enables DoS via SIGALRM
CVE-2026-47213 vllm: trust_remote_code bypass enables RCE via HuggingFace
CVE-2026-4944 Langflow: DoS via uncontrolled resource consumption
CVE-2026-7528 vllm: unauthenticated DoS in OpenAI-compatible serving path
CVE-2026-9540 cline-mcp-memory-bank: path traversal in memory init
CVE-2026-9468 Notebook Pro: DoS via oversized notebook name input
CVE-2018-25378 MLflow: auth bypass on artifact uploads enables RCE
CVE-2026-2651 LMDeploy: hardcoded trust_remote_code enables RCE
CVE-2026-46517 ChromaDB: pre-auth RCE via trust_remote_code injection
CVE-2026-45829 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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