CVE-2021-29557

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.SparseMatMul`. The division by 0 occurs deep in Eigen code because the `b` tensor is empty. 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.

How to fix CVE-2021-29557

To remediate CVE-2021-29557, upgrade the affected package to a fixed version below.

• —upgrade to 2.1.4 or later
• —upgrade to 2.1.4 or later
• —upgrade to 7f283ff806b2031f407db64c4d3edcda8fb9f9f5 or later
• —upgrade to 7f283ff806b2031f407db64c4d3edcda8fb9f9f5 or later
• —upgrade to 2.1.4 or later
• —upgrade to 7f283ff806b2031f407db64c4d3edcda8fb9f9f5 or later
• —upgrade to 2.1.4 or later

Is CVE-2021-29557 being exploited?

Low — EPSS is 0.0%, meaning exploitation activity has not been observed at scale.

Affected packages (7)

• from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
• from 0, < 2.1.4
• from 0, < 7f283ff806b2031f407db64c4d3edcda8fb9f9f5 | from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
• from 0, < 7f283ff806b2031f407db64c4d3edcda8fb9f9f5 | from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
• from 0, < 2.1.4
• from 0, < 7f283ff806b2031f407db64c4d3edcda8fb9f9f5 | from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
• from 0, < 2.1.4

CVSS scores

References (7)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2021-29557
• PATCHgithub.com/tensorflow/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-485.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-683.yaml