LLMMedium

CVE-2021-29608: TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in …

Occurred: May 14, 2021
Published: May 14, 2021
Source: NVD CVE

Summary

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.RaggedTensorToTensor`, an attacker can exploit an undefined behavior if input arguments are empty. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L356-L360) only checks that one of the tensors is not empty, but does not check for the other ones. There are multiple `DCHECK` validations to prevent heap OOB, but these are no-op in release builds, hence they don't prevent anything. The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits 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.

Classification

Category confidence: 85%

Severity confidence: 90%

Rationale: CVE describes a software vulnerability in TensorFlow ML platform, not a deployed AI incident causing direct harm.

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

Visit source

Summary

Tags

Classification