CVE-2021-37641: TensorFlow is an end-to-end open source platform for machine learning. In affected versions if the a…
- Occurred
- Aug 12, 2021
- Published
- Aug 12, 2021
- Source
- NVD CVE
Summary
TensorFlow is an end-to-end open source platform for machine learning. In affected versions if the arguments to `tf.raw_ops.RaggedGather` don't determine a valid ragged tensor code can trigger a read from outside of bounds of heap allocated buffers. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/ragged_gather_op.cc#L70) directly reads the first dimension of a tensor shape before checking that said tensor has rank of at least 1 (i.e., it is not a scalar). Furthermore, the implementation does not check that the list given by `params_nested_splits` is not an empty list of tensors. We have patched the issue in GitHub commit a2b743f6017d7b97af1fe49087ae15f0ac634373. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Tags
- CVE
- CVE-2021-37641
- cvss:HIGH
Classification
Rationale: TensorFlow vulnerability in ML framework causing potential memory corruption, classified under LLM due to ML platform context.
Classifier: Qwen/Qwen3.5-35B-A3B-FP8