HighVulnerability
CVE-2023-33976: TensorFlow is an end-to-end open source platform for machine learning. `array_ops.upper_bound` causes a segfault when…
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2023-33976
- Published
- Record updated
- Affected
- tensorflow < 2.12.1
- tensorflow-cpu < 2.12.1
- tensorflow-gpu < 2.12.1
- Fixed in
- 2.12.1
- tensorflow 2.12.1 released July 5, 2023, 392 days before disclosure
- tensorflow-cpu 2.12.1 released July 5, 2023, 392 days before disclosure
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.4%
Summary
CVE-2023-33976 is a flaw in TensorFlow where `array_ops.upper_bound` causes a segfault when it is not given a rank 2 tensor. The source classifies it under CWE-190, Integer Overflow or Wraparound, and NVD has not yet provided an assessment.
Mitigation
The fix will be included in TensorFlow 2.13 and will also be cherrypicked on TensorFlow 2.12.
Affected packages in the Exposure Registry
Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.
- tensorflowPyPINo LLM dependency detected · 26 tracked dependents
- tensorflow-gpuPyPINo LLM dependency detected · 2 tracked dependents
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