PYSEC-2022-77: Integer overflows in Tensorflow
Tensorflow is an Open Source Machine Learning Framework. The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects (so, an assert failure based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large TensorShape with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Affected Software
Remediation
Recommended actions to resolve this vulnerability, in priority order.
- Upgrade
Upgrade
TensorFlowto a version that resolves this vulnerability.Fixed in 2.8.0 - Upgrade
Upgrade
TensorFlowto a version that resolves this vulnerability.Fixed in 2.7.1 - Upgrade
Upgrade
TensorFlowto a version that resolves this vulnerability.Fixed in 2.6.3 - Upgrade
Upgrade
TensorFlowto a version that resolves this vulnerability.Fixed in 2.5.3