AI Threat Alert

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.

Sources
Each CVE is enriched with
  • CVSS severity
  • EPSS exploit probability
  • Exploitation confidence
  • AI-component classification
  • Compliance mappings
4,307

AI/ML CVEs Tracked

533

Critical

96

New This Week

25

In CISA KEV

Sort:DateCVSSEPSSKEV firstMost exploited
Filter:AllCriticalHighMediumKEV onlyActive exploitationHas patchNo patch

Latest AI Security Threats

Showing 16 of 2876 results — no patch
SeverityCVE IDSummaryCVSSEPSSPackageDate
MEDIECVE-2020-15192TensorFlow: memory leak in dlpack DoS via low-priv input4.30.8%tensorflowSep 25MEDIECVE-2020-15191TensorFlow: null ptr deref in dlpack causes remote DoS5.30.9%tensorflowSep 25MEDIECVE-2020-15190TensorFlow: null ptr deref DoS via Switch op eager runtime5.30.9%tensorflowSep 25UNKNECVE-2020-25514Sourcecodester LMS: broken access control in admin panel—0.6%—Sep 22UNKNCVE-2020-1192VS Code Python ext: RCE via malicious notebook file—4.3%—May 21CRITECVE-2020-13092scikit-learn: RCE via malicious joblib model deserialization9.83.4%scikit-learnMay 15MEDICVE-2018-21233TensorFlow: integer overflow leaks process memory via BMP6.50.6%tensorflowMay 4HIGHECVE-2020-5215TensorFlow: type confusion DoS crashes eager mode inference7.50.6%tensorflowJan 28CRITCVE-2019-16778TensorFlow: heap overflow in UnsortedSegmentSum op9.80.8%tensorflowDec 16MEDICVE-2019-6576SIMATIC WinCC: TLS key disclosure enables traffic decryption6.51.8%SIMATIC HMI Classic Devices (TP/MP/OP/MP Mobile Panel)May 14UNKNCVE-2018-7575TensorFlow: buffer overflow, potential RCE in 1.7.x—0.6%tensorflowApr 24UNKNECVE-2019-9635TensorFlow: NULL ptr deref DoS via malformed GIF input—0.5%tensorflowApr 24UNKNCVE-2018-7577TensorFlow: Snappy memcpy overlap crash/mem disclosure—0.5%tensorflowApr 24UNKNECVE-2018-10055TensorFlow XLA: heap overflow via crafted config file—0.5%tensorflowApr 24HIGHCVE-2018-8825TensorFlow 1.7: Buffer overflow enables arbitrary code exec8.80.7%tensorflowApr 23UNKNCVE-2018-7576TensorFlow: NPD in 1.6.x crashes ML runtime—0.5%tensorflowApr 23

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.

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