CVE-2021-29555
An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.FusedBatchNorm`.
Does this matter?
Lower severity and a low EPSS score (0.19%). Track it; it rarely justifies an emergency change on its own.
Description
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.FusedBatchNorm`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/828f346274841fa7505f7020e88ca36c22e557ab/tensorflow/core/kernels/fused_batch_norm_op.cc#L295-L297) performs a division based on the last dimension of the `x` tensor. Since this is controlled by the user, an attacker can trigger a denial of service. 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.
- CVSS 3.1
- 5.5 MEDIUMCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- EPSS
- 0.19% probability · 9th percentile
- CISA KEV
- Not listed
- Weakness
- CWE-369
- Affected
- google/tensorflow
- Source
- security-advisories@github.com
References
- https://github.com/tensorflow/tensorflow/commit/1a2a87229d1d61e23a39373777c056161eb4084dPatch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r35g-4525-29fqExploit, Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/1a2a87229d1d61e23a39373777c056161eb4084dPatch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r35g-4525-29fqExploit, Patch, Third Party Advisory
Source: NVD record, EPSS from FIRST.org, KEV from CISA. Refreshed daily.