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
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 538 results — Medium severity, no patchTensorFlow: non-deterministic compilation breaks Embedding
CVE-2025-55556 PyTorch: integer overflow in nan_to_num causes DoS
CVE-2025-55554 PyTorch: Dropout inconsistency enables membership inference
CVE-2025-46153 PyTorch: OOB write causes incorrect bitwise shift results
CVE-2025-46152 PyTorch: torch.compile silent output inconsistency
CVE-2025-46150 PyTorch: reachable assertion in nn.Fold with inductor
CVE-2025-46149 PyTorch: PairwiseDistance silent miscalculation, integrity risk
CVE-2025-46148 n8n: stored XSS in LangChain chat trigger (public)
CVE-2025-58177 Transformers: ReDoS in EnglishNormalizer exhausts CPU
CVE-2025-6051 n8n: symlink traversal enables arbitrary file read/write
CVE-2025-57749 n8n: Stored XSS enables full account takeover
CVE-2025-52478 ExecuTorch: integer overflow enables RCE via model loading
CVE-2025-54952 Ollama: arbitrary file deletion via /api/pull
CVE-2025-44779 Transformers: ReDoS in TF-to-PyTorch weight converter
CVE-2025-5197 ms-swift: RCE via pickle deserialization in adapter models
GHSA-r54c-2xmf-2cf3 OpenAI Codex CLI: sandbox bypass via ripgrep flag abuse
CVE-2025-54558 WordPress AI Engine: SSRF leaks files via OpenAI API
CVE-2025-7780 Ollama: auth token hijack via crafted WWW-Authenticate
CVE-2025-51471 Dagster: path traversal exposes arbitrary file read via gRPC
CVE-2025-51481 DSpace: XXE injection enables server file disclosure
CVE-2025-53621 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.
Start 14-Day Free Trial