CVE-2021-29554
LOWTensorFlow < 2.1.4, 2.3.0-2.3.3 - Denial of Service via Division by Zero in DenseCountSparseOutput
Title source: llmDescription
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.
References (2)
Core 2
Core References
Exploit, Patch, Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qg48-85hg-mqc5
Patch, Third Party Advisory x_refsource_misc
https://github.com/tensorflow/tensorflow/commit/da5ff2daf618591f64b2b62d9d9803951b945e9f
Scores
CVSS v3
2.5
EPSS
0.0019
EPSS Percentile
8.7%
Attack Vector
LOCAL
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Details
CWE
CWE-369
Status
published
Products (4)
google/tensorflow
< 2.1.4
pypi/tensorflow
2.3.0 - 2.3.3PyPI
pypi/tensorflow-cpu
2.3.0 - 2.3.3PyPI
pypi/tensorflow-gpu
2.3.0 - 2.3.3PyPI
Published
May 14, 2021
Tracked Since
Feb 18, 2026