Critical severityNVD Advisory· Published Mar 24, 2023· Updated Feb 19, 2025
TensorFlow vulnerable to heap out-of-buffer read in the QuantizeAndDequantize operation
CVE-2023-25668
Description
TensorFlow is an open source platform for machine learning. Attackers using Tensorflow prior to 2.12.0 or 2.11.1 can access heap memory which is not in the control of user, leading to a crash or remote code execution. The fix will be included in TensorFlow version 2.12.0 and will also cherrypick this commit on TensorFlow version 2.11.1.
AI Insight
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Affected packages
Versions sourced from the GitHub Security Advisory.
| Package | Affected versions | Patched versions |
|---|---|---|
tensorflowPyPI | < 2.11.1 | 2.11.1 |
tensorflow-cpuPyPI | < 2.11.1 | 2.11.1 |
tensorflow-gpuPyPI | < 2.11.1 | 2.11.1 |
Affected products
5- osv-coords4 versions
< 2.12.0+ 3 more
- (no CPE)range: < 2.12.0
- (no CPE)range: < 2.11.1
- (no CPE)range: < 2.11.1
- (no CPE)range: < 2.11.1
- Range: < 2.11.1
Patches
Vulnerability mechanics
References
4- github.com/advisories/GHSA-gw97-ff7c-9v96ghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2023-25668ghsaADVISORY
- github.com/tensorflow/tensorflow/commit/7b174a0f2e40ff3f3aa957aecddfd5aaae35eccbghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/security/advisories/GHSA-gw97-ff7c-9v96ghsax_refsource_CONFIRMWEB
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