AI Threat AlertAI 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 1961 results — Active exploitationpytorch-lightning: code injection enables full RCE
CVE-2022-0845Subrion CMS: stored XSS in admin config panel
CVE-2020-18325Zepl Notebooks: RCE via malicious notebook code
CVE-2021-42950Zepl Notebooks: sandbox escape exposes cloud metadata
CVE-2021-42952MLflow: insecure temp file handling causes DoS
CVE-2022-0736XMPie UStore: persistent XSS in admin user panel
CVE-2022-23321TensorFlow XLA: null pointer dereference causes DoS
CVE-2022-23595TensorFlow MLIR-TFRT: DoS via scalar shape segfault
CVE-2022-23593TensorFlow: heap OOB read in type inference engine
CVE-2022-23592TensorFlow: SavedModel stack overflow via recursive GraphDef
CVE-2022-23591TensorFlow: DoS via malicious SavedModel GraphDef
CVE-2022-23590TensorFlow Grappler: DoS via malicious SavedModel
CVE-2022-23589TensorFlow: DoS via crafted SavedModel crashes Grappler
CVE-2022-23588TensorFlow: integer overflow in Grappler enables RCE
CVE-2022-23587TensorFlow: SavedModel DoS crashes Python interpreter
CVE-2022-23586TensorFlow: memory leak in PNG decode causes DoS
CVE-2022-23585TensorFlow: use-after-free in PNG decode causes DoS
CVE-2022-23584TensorFlow: SavedModel type confusion triggers DoS crash
CVE-2022-23583TensorFlow: SavedModel CHECK-fail causes DoS
CVE-2022-23582TensorFlow: DoS via Grappler optimizer CHECK failure
CVE-2022-23581Frequently 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