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
Affected Vendors & Products
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 |
Fixes
Solution
No solution given by the vendor.
Workaround
No workaround given by the vendor.
References
History
No history.
Status: PUBLISHED
Assigner: GitHub_M
Published:
Updated: 2024-08-04T15:56:04.617Z
Reserved: 2020-10-01T00:00:00
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.
EUVD
Github GHSA