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CVE-2021-29543: TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a den…

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 a denial of service via a `CHECK`-fail in `tf.raw_ops.CTCGreedyDecoder`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1615440b17b364b875eb06f43d087381f1460a65/tensorflow/core/kernels/ctc_decoder_ops.cc#L37-L50) has a `CHECK_LT` inserted to validate some invariants. When this condition is false, the program aborts, instead of returning a valid error to the user. This abnormal termination can be weaponized in denial of service attacks. 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: TensorFlow vulnerability allows denial of service attacks on ML platform, affecting model availability.

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

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