CVE-2020-26266

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...

CVE-2020-26266

creationtimestamp| type| source ---|---|--- 2020-12-11 02:34:23+00:00| seen| https://t.me/cibsecurity/19629 2020-12-11 02:37:24+00:00| seen| https://t.me/cibsecurity/19649 2020-12-11 03:25:13+00:00| seen| https://t.me/cibsecurity/19669 2020-12-11 04:25:11+00:00| seen| https://t.me/cibsecurity/196...

CVE-2020-26266

CVE-2020-26266 (TensorFlow) arises from use of uninitialized Eigen quantized floating point types during code execution, triggered by saved-model handling. Affected TensorFlow versions include 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0; fixes are in those same branches as indicated. The issue ...

CVE-2020-26266 Uninitialized memory access in Eigen types in TensorFlow

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...