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
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/da5ff2daf618591f64b2b62d9d9803951b945e9f | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qg48-85hg-mqc5 | Exploit Patch Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:10:15
Updated: 2021-05-14T19:10:15
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29554
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-05-14T19:15:07.800
Modified: 2021-05-20T16:05:09.703
Link: CVE-2021-29554
JSON object: View
Redhat Information
No data.
CWE