CVE-2022-23561

Description

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. 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-2022-23561

To remediate CVE-2022-23561, 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 6c0b2b70eeee588591680f5b7d5d38175fd7cdf6 or later
• —upgrade to 2.5.3 or later
• —upgrade to 6c0b2b70eeee588591680f5b7d5d38175fd7cdf6 or later

Is CVE-2022-23561 being exploited?

Low — EPSS is 0.2%, 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, < 6c0b2b70eeee588591680f5b7d5d38175fd7cdf6 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
• from 0, < 2.5.3
• from 0, < 6c0b2b70eeee588591680f5b7d5d38175fd7cdf6 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3

CVSS scores

References (6)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2022-23561
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-70.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-125.yaml
• WEBgithub.com/tensorflow/tensorflow