CVE-2022-23567

Description

Tensorflow is an Open Source Machine Learning Framework. The implementations of `Sparse*Cwise*` ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or `CHECK`-fails when building new `TensorShape` objects (so, assert failures based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

How to fix CVE-2022-23567

To remediate CVE-2022-23567, upgrade the affected package to a fixed version below.

• —upgrade to 2.5.3 or later
• —upgrade to 2.5.3 or later
• —upgrade to 2.5.3 or later
• —upgrade to e952a89b7026b98fe8cbe626514a93ed68b7c510 or later
• —upgrade to 2.5.3 or later
• —upgrade to e952a89b7026b98fe8cbe626514a93ed68b7c510 or later

Is CVE-2022-23567 being exploited?

Low — EPSS is 0.4%, meaning exploitation activity has not been observed at scale.

Affected packages (6)

• from 0, < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1
• from 0, < 2.5.3
• from 0, < 2.5.3
• from 0, < e952a89b7026b98fe8cbe626514a93ed68b7c510, < 1b54cadd19391b60b6fcccd8d076426f7221d5e8 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
• from 0, < 2.5.3
• from 0, < e952a89b7026b98fe8cbe626514a93ed68b7c510, < 1b54cadd19391b60b6fcccd8d076426f7221d5e8 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3

CVSS scores

References (9)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2022-23567
• PATCHgithub.com/tensorflow/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-76.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-131.yaml