AVID-2026-R1245
Description
TensorFlow segfault in array_ops.upper_bound (CVE-2023-33976)
Details
TensorFlow is an end-to-end open source platform for machine learning. array_ops.upper_bound causes a segfault when not given a rank 2 tensor. The fix will be included in TensorFlow 2.13 and will also cherrypick this commit on TensorFlow 2.12.
Reason for inclusion in AVID: CVE-2023-33976 describes a TensorFlow vulnerability (segfault in array_ops.upper_bound) within a software library widely used in AI models and pipelines. It affects the software stack relied upon to build/train/deploy AI systems, thus a software supply-chain issue in general-purpose AI systems. The CVE indicates a security-related vulnerability with a high impact on availability, and the report provides sufficient signals (CVE ID, affected component, impact, and references).
References
- NVD entry
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gjh7-xx4r-x345
- https://github.com/tensorflow/tensorflow/commit/6fa05df43b00038b048f4f0e51ef522da6532fec
- https://github.com/tensorflow/tensorflow/commit/915884fdf5df34aaedd00fc6ace33a2cfdefa586
Affected or Relevant Artifacts
- Developer: tensorflow
- Deployer: tensorflow
- Artifact Details:
| Type | Name |
|---|---|
| System | tensorflow |
Impact
AVID Taxonomy Categorization
- Risk domains: Security
- SEP subcategories: S0100: Software Vulnerability
- Lifecycle stages: L06: Deployment
CVSS
| Version | 3.1 |
| Vector String | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
| Base Score | 7.5 |
| Base Severity | 🔴 High |
| Attack Vector | NETWORK |
| Attack Complexity | 🟢 Low |
| Privileges Required | NONE |
| User Interaction | NONE |
| Scope | UNCHANGED |
| Confidentiality Impact | NONE |
| Integrity Impact | NONE |
| Availability Impact | 🔴 High |
CWE
| ID | Description |
|---|---|
| CWE-190 | CWE-190: Integer Overflow or Wraparound |
Other information
- Report Type: Advisory
- Credits:
- Date Reported: 2024-07-30
- Version: 0.3.3
- AVID Entry