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 4307 resultsvirtualenv: prompt injection enables shell command execution
CVE-2026-113723virtualenv: line-boundary injection alters pyvenv.cfg
CVE-2026-113715virtualenv: path traversal in seed cleanup deletes files
CVE-2026-113719LangGraph CLI: deploy --verbose leaks registry token in logs
CVE-2026-115885MLflow: unsafe scorer deserialization enables SSRF
CVE-2026-115886LangGraph stores: namespace label injection crosses tenants
CVE-2026-115883filelock: soft-lock inode-reuse race allows double lock
CVE-2026-112906filelock: symlink race in stale-lock restore links files
CVE-2026-112914filelock: SQLite symlink redirect enables file overwrite
CVE-2026-112940FastMCP: post-transform authorization skip exposes tools
GHSA-7xgj-8392-5q4rStrands Agents SDK: A2A session leak across callers
CVE-2026-115419virtualenv: bash prompt injection allows command execution
CVE-2026-115586Zephyr RTOS: predictable DHCPv4 xid enables gateway/DNS hijack
CVE-2026-79980SiYuan: WebSocket auth bypass leaks live event stream
CVE-2026-73054SiYuan: auth oracle leaks hidden document existence
CVE-2026-73630SiYuan: hidden-tier docs leak via AV backlinks API
CVE-2026-73049SiYuan: publish storage endpoint leaks admin context
GHSA-xp3q-r38w-vgqmHF Datasets: pickle deserialization RCE via pandas builder
CVE-2026-57845Goobi viewer: Solr injection exposes restricted records
CVE-2026-55465obsidian-tc: HITL approval bypass runs destructive tools
CVE-2026-115477Frequently 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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