Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, TensorFlow might do a null-dereference if attributes of some mutable arguments to some operations are missing from the proto. This is guarded by a `DCHECK`. However, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the dereferencing of the null pointer, whereas in the second case it results in a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.
References
Link | Resource |
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https://github.com/tensorflow/tensorflow/commit/8a513cec4bec15961fbfdedcaa5376522980455c | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9p77-mmrw-69c7 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L104-L106 | Exploit Third Party Advisory |
Configurations
Configuration 1 (hide)
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Information
Published : 2022-02-04 15:15
Updated : 2022-02-10 08:07
NVD link : CVE-2022-23570
Mitre link : CVE-2022-23570
JSON object : View
Products Affected
- tensorflow