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CVE-2021-29568: TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger undef…

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 trigger undefined behavior by binding to null pointer in `tf.raw_ops.ParameterizedTruncatedNormal`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/3f6fe4dfef6f57e768260b48166c27d148f3015f/tensorflow/core/kernels/parameterized_truncated_normal_op.cc#L630) does not validate input arguments before accessing the first element of `shape`. If `shape` argument is empty, then `shape_tensor.flat<T>()` is an empty array. 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.

Classification

Category confidence: 85%

Severity confidence: 90%

Rationale: CVE describes a software vulnerability in TensorFlow ML platform causing undefined behavior, not a direct AI safety incident.

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

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