CVE-2020-26266
4.4MEDIUMIn 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 v
Publicado: 12/10/2020Actualizado: 11/21/2024
Descripción
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.
Análisis IAImpulsado por IA
Productos Afectados
googletensorflow
googletensorflow
googletensorflow
googletensorflow
googletensorflow
Referencias
- https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2ExploitPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2PatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qhxx-j73r-qpm2ExploitPatchThird Party Advisory