CVE-2021-29580 - log back

CVE-2021-29580 edited at 14 May 2021 21:52:25
Type
- Unknown
+ Denial of service
CVE-2021-29580 edited at 14 May 2021 21:31:40
Severity
- Unknown
+ Low
Remote
- Unknown
+ Local
Description
+ A security issue has been found in TensorFlow before version 2.4.2. The implementation of `tf.raw_ops.FractionalMaxPoolGrad` triggers an undefined behavior if one of the input tensors is empty. The code is also vulnerable to a denial of service attack as a `CHECK` condition becomes false and aborts the process. The implementation(https://github.com/tensorflow/tensorflow/blob/169054888d50ce488dfde9ca55d91d6325efbd5b/tensorflow/core/kernels/fractional_max_pool_op.cc#L215) fails to validate that input and output tensors are not empty and are of the same rank. Each of these unchecked assumptions is responsible for the above issues.
References
+ https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x8h6-xgqx-jqgp
+ https://github.com/tensorflow/tensorflow/commit/32fdcbff9d06d010d908fcc4bd4b36eb3ce15925
CVE-2021-29580 created at 14 May 2021 20:37:16
Severity
+ Unknown
Remote
+ Unknown
Type
+ Unknown
Description
References
Notes