CVE-2021-29560: TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap …
- Occurred
- May 14, 2021
- Published
- May 14, 2021
- Source
- NVD CVE
Summary
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `tf.raw_ops.RaggedTensorToTensor`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/d94227d43aa125ad8b54115c03cece54f6a1977b/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L219-L222) uses the same index to access two arrays in parallel. Since the user controls the shape of the input arguments, an attacker could trigger a heap OOB access when `parent_output_index` is shorter than `row_split`. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Tags
- CVE
- CVE-2021-29560
- cvss:LOW
Classification
Rationale: TensorFlow vulnerability affects ML platform but is a technical bug, not a direct AI safety incident.
Classifier: Qwen/Qwen3.5-35B-A3B-FP8