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.
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Remediation
No vendor fix or workaround currently provided.
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Tracking
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Advisories
| Source | ID | Title |
|---|---|---|
EUVD |
EUVD-2020-0213 | 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. |
Github GHSA |
GHSA-qhxx-j73r-qpm2 | Uninitialized memory access in TensorFlow |
References
History
No history.
Status: PUBLISHED
Assigner: GitHub_M
Published:
Updated: 2024-08-04T15:56:04.617Z
Reserved: 2020-10-01T00:00:00.000Z
Link: CVE-2020-26266
No data.
Status : Modified
Published: 2020-12-10T23:15:12.647
Modified: 2024-11-21T05:19:42.273
Link: CVE-2020-26266
No data.
OpenCVE Enrichment
No data.
Weaknesses
EUVD
Github GHSA