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 1346 results — Active exploitation, no patchFlowise: sandbox escape enables authenticated RCE
CVE-2026-46442Flowise: mass assignment breaks multi-tenant isolation
CVE-2026-46441Flowise: plaintext auth brute-force, no rate limit
CVE-2026-46440OpenAI Atlas: XSS enables browser history exfiltration
CVE-2026-11326Milvus: weak hash allows RBAC grantee impersonation
CVE-2026-10814LMCache: weak hash enables KV cache integrity bypass
CVE-2026-10813ms-swift: weak hash enables image cache poisoning
CVE-2026-10801jupyter-server: CORS bypass enables arbitrary code execution
CVE-2026-6657jupyter-server: path traversal exposes sibling dir files
CVE-2026-5422hermes-agent: auth bypass exposes Anthropic API credentials
CVE-2026-10548F5-TTS: path traversal enables arbitrary file write
CVE-2026-43624Poppler: PDF integer overflow enables heap RCE
CVE-2026-10118Edimax BR-6478AC: RCE via command injection in Wi-Fi handler
CVE-2026-10166Edimax BR-6478AC: RCE via rootAPmac command injection
CVE-2026-10127BoxLite: sandbox timeout bypass enables DoS via SIGALRM
CVE-2026-47213vllm: trust_remote_code bypass enables RCE via HuggingFace
CVE-2026-4944Langflow: DoS via uncontrolled resource consumption
CVE-2026-7528vllm: unauthenticated DoS in OpenAI-compatible serving path
CVE-2026-9540cline-mcp-memory-bank: path traversal in memory init
CVE-2026-9468Notebook Pro: DoS via oversized notebook name input
CVE-2018-25378Frequently 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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