Skip to content
LLMMedium

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

Category confidence: 85%
Severity confidence: 90%

Rationale: TensorFlow vulnerability affects ML platform but is a technical bug, not a direct AI safety incident.

Classifier: Qwen/Qwen3.5-35B-A3B-FP8

Visit source