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 983 results — Medium severity, no patchJoplin Server: IDOR exposes other users' note content
CVE-2026-55179Aureus ERP: stored XSS in Chatter change log
CVE-2026-94387OpenClaw: unbounded file read enables canvas host DoS
CVE-2026-94094vLLM: bad_words OOB index corrupts cross-request logits
CVE-2026-93989vLLM: OOB write in penalty kernel corrupts requests
CVE-2026-93841vLLM: token ID validation flaw corrupts cross-request logits
CVE-2026-93840GPTranslate WP: plaintext AI API key exposed to anyone
CVE-2026-89278Amelia WP Plugin: missing ownership check exposes customers
CVE-2026-14311RAGFlow: path traversal enables arbitrary JSON file read
CVE-2026-93013n8n: Source control push flaw enables cross-project deletion
CVE-2026-92588n8n: Git node sandbox escape reads files outside restriction
CVE-2026-92587vLLM: algorithmic complexity DoS in thinking budget
CVE-2026-92365WPBot: missing capability check exposes Claude API key
CVE-2026-87959vLLM: MoRIIO KV handler flaw allows remote DoS
CVE-2026-92220EspoCRM: weak PRNG tokens allow opt-in/invite forgery
CVE-2026-92298Concrete CMS: stored XSS via page path in dialog
CVE-2026-81926Flowise: CI script injection leaks AWS and Docker creds
CVE-2026-91936vLLM: chat_template abuse causes resource exhaustion
CVE-2026-90878Concrete CMS: stored XSS in alias name enables privilege escalation
CVE-2026-18117LobsterAI: SSRF in browser network config sync
CVE-2026-90818Frequently 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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