CVE-2020-26266
Last modified
CVE-2020-26266 is a medium-severity vulnerability rated 5.3/10 on the CVSS scale. 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. EPSS estimates a 0.24% chance of exploitation in the next 30 days.
Description
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.
Metrics
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
Weakness Enumeration
Affected Software
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | < 1.15.5 | |
| Tensorflow | >= 2.0.0, < 2.0.4 | |
| Tensorflow | >= 2.1.0, < 2.1.3 | |
| Tensorflow | >= 2.2.0, < 2.2.2 | |
| Tensorflow | >= 2.3.0, < 2.3.2 |
References
- https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2Exploit, Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2Exploit, Patch, Third Party Advisory
Timeline
- Published
- Last Modified
- Status
- Modified
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