CVE-2020-26266
4.4
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
Summary
In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
Affected Software
| Vendor | Product | Version Range | Status |
|---|---|---|---|
| tensorflow | tensorflow | < 1.15.5 | affected |
| tensorflow | tensorflow | >= 2.0.0, < 2.0.4 | affected |
| tensorflow | tensorflow | >= 2.1.0, < 2.1.3 | affected |
| tensorflow | tensorflow | >= 2.2.0, < 2.2.2 | affected |
| tensorflow | tensorflow | >= 2.3.0, < 2.3.2 | affected |
Weaknesses
- CWE-908: CWE-908: Use of Uninitialized Resource
ADP Enrichment
CVE Program Container
Additional References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2
- https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2
- https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2
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