Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of `ImmutableExecutorState::Initialize`. Here, we set `item->kernel` to `nullptr` but it is a simple `OpKernel*` pointer so the memory that was previously allocated to it would leak. 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.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8r7c-3cm2-3h8f | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/c79ccba517dbb1a0ccb9b01ee3bd2a63748b60dd | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/common_runtime/immutable_executor_state.cc#L84-L262 | Exploit Third Party Advisory |
Configurations
Configuration 1 (hide)
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Information
Published : 2022-02-04 15:15
Updated : 2022-02-10 07:17
NVD link : CVE-2022-23578
Mitre link : CVE-2022-23578
JSON object : View
CWE
CWE-401
Missing Release of Memory after Effective Lifetime
Products Affected
- tensorflow