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 1527 results — Medium severityQuarkus LangChain4j: WebSocket memory leak enables DoS
CVE-2026-108748LiteLLM: improper authorization in get_secret api_key
CVE-2026-108575LiteLLM: IDOR in spend logs exposes session data
CVE-2026-108574Cohere SDK: tar slip in SageMaker S3 model extraction
CVE-2026-108597pdf2zh: unauthenticated SSRF via Link input
CVE-2026-108554Jexactyl: IDOR in billing endpoint allows renewing others' servers
CVE-2026-107854Coraza WAF: Content-Type parsing flaw bypasses body inspection
GHSA-w253-m66g-rx24Coraza WAF: filename* charset bypass evades upload rules
GHSA-3wr7-993q-jrffCoraza WAF: cookie parser mismatch enables WAF bypass
GHSA-g4qm-m288-5cp9Coraza WAF: malformed URI bypasses GET arg inspection
GHSA-x26q-wvhg-fh4mCoraza WAF: octal jsDecode bug lets payloads bypass rules
CVE-2026-104774Coraza WAF: JSON key collision bypasses inspection
GHSA-5gj4-9gm7-2fx2RabbitMQ Java Client: AMQP password leaked in exception
CVE-2026-106123PraisonAI Platform: authz flaw lets members delete issue links
CVE-2026-62179Langflow: path traversal exposes sensitive files
CVE-2026-97671Langflow: ZIP extraction resource exhaustion allows DoS
CVE-2026-93679Langflow: info disclosure lets authed users read sensitive data
CVE-2026-93677Langflow: path traversal lets authenticated users read files
CVE-2026-93448Langflow: path traversal exposes sensitive files
CVE-2026-103360Langflow: insufficiently protected credentials exposure
CVE-2026-101331Frequently 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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