CriticalVulnerability
CVE-2023-25668: TensorFlow heap memory access leading to crash or code execution
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2023-25668
- Published
- Record updated
- Affected
- tensorflow < 2.11.1
- tensorflow-cpu < 2.11.1
- tensorflow-gpu < 2.11.1
- Fixed in
- 2.11.1
- tensorflow 2.11.1 released March 20, 2023, 5 days before disclosure
- tensorflow-cpu 2.11.1 released March 20, 2023, 5 days before disclosure
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.8%
Summary
CVE-2023-25668 affects TensorFlow versions prior to 2.12.0 and 2.11.1. Attackers can access heap memory outside the user's control, which can lead to a crash or remote code execution.
Mitigation
The fix will be included in TensorFlow version 2.12.0 and will also be cherrypicked into TensorFlow version 2.11.1.
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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