Memory corruption in TensorFlow
Priority LOW 29CWE-92Published · Updated
Key facts
- Attack vector
- Local
- Privileges required
- Low
- User interaction
- Required
- Attack complexity
- High
- Impact type
- Code execution
- Confidentiality · integrity · availability
- High · High · High
- Fix status
- No fix listed
Attack profile from CVSS 3.1 · NVD. Fix status from CNA. Impact type from CWE-119 and the CVSS impact.
Summary
Improper buffer restrictions in Intel(R) Optimization for TensorFlow before version 2.13.0 may allow an authenticated user to potentially enable escalation of privilege via local access.
Why it matters now
Exploitation None reported CISA SSVC · not in CISA KEV
EPSS 0.00189 8th percentileScored 2026-11-07
Fix No fix listed No fixed version in the sources yet
SSVC decision points
CISA ADP · SSVC 2.0.3
- Exploitation
- None
- Automatable
- No
- Technical impact
- Partial
The decision (Track, Attend, Act) also depends on your mission and well-being impact; see CISA's SSVC guide.
Affected products
| Vendor | Product | Affected versions | Fixed in | Status | Source |
|---|---|---|---|---|---|
| — | TensorFlow | before version 2.13.0 | — | No fix listed | CNA |
- TensorFlow Vendor— Affected before version 2.13.0 Fixed in — No fix listed CNA
Remediation
No fixed version listed by the sources yet.
Timeline
- 2026-10-02 Threatist record created from CVE-2023-30767
- 2026-10-03 Alias added: GHSA-7cxm-qx65-mv3h
References
More Intel Optimization For Tensorflow vulnerabilities
- TI-2023-12233 Memory corruption in Intel Optimization for Tensorflow software CVSS 3.1HIGH 7.8
Sources
- CVE-2023-30767 · CVE Program
- CVE-2023-30767 · NVD
- FIRST EPSS
- GHSA-7cxm-qx65-mv3h · GitHub Advisory Database · CC BY 4.0
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