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CVE-2021-29554: TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denia…

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 denial of service via a FPE runtime error in `tf.raw_ops.DenseCountSparseOutput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division. Since `data` is given by the `values` argument, `num_batch_elements` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, and TensorFlow 2.3.3, as these are also affected.

Tags

  • CVE
  • CVE-2021-29554
  • cvss:LOW

Classification

Category confidence: 85%
Severity confidence: 90%

Rationale: CVE describes a denial of service vulnerability in TensorFlow, a machine learning framework, causing runtime errors.

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

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