CVE-2021-41216

Description

TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

How to fix CVE-2021-41216

To remediate CVE-2021-41216, upgrade the affected package to a fixed version below.

• —upgrade to 2.4.4 or later
• —upgrade to 2.6.1 or later
• —upgrade to c79ba87153ee343401dbe9d1954d7f79e521eb14 or later
• —upgrade to c79ba87153ee343401dbe9d1954d7f79e521eb14 or later
• —upgrade to 2.6.1 or later
• —upgrade to c79ba87153ee343401dbe9d1954d7f79e521eb14 or later
• —upgrade to 2.6.1 or later

Is CVE-2021-41216 being exploited?

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

Affected packages (7)

• >= 2.4.0, < 2.4.4, >= 2.5.0, < 2.5.2, >= 2.6.0, < 2.6.1
• >= 2.6.0, < 2.6.1
• from 0, < c79ba87153ee343401dbe9d1954d7f79e521eb14 | from 0, < 2.4.4, >= 2.5.0, < 2.5.2, >= 2.6.0, < 2.6.1, >= 2.7.0rc0, < 2.7.0
• from 0, < c79ba87153ee343401dbe9d1954d7f79e521eb14 | from 0, < 2.4.4, >= 2.5.0, < 2.5.2, >= 2.6.0, < 2.6.1, >= 2.7.0rc0, < 2.7.0
• >= 2.6.0, < 2.6.1
• from 0, < c79ba87153ee343401dbe9d1954d7f79e521eb14 | from 0, < 2.4.4, >= 2.5.0, < 2.5.2, >= 2.6.0, < 2.6.1, >= 2.7.0rc0, < 2.7.0
• >= 2.6.0, < 2.6.1

CVSS scores

References (8)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2021-41216
• PATCHgithub.com/tensorflow/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-625.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-823.yaml