CVE-2022-23591

Description

Tensorflow is an Open Source Machine Learning Framework. The `GraphDef` format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a `GraphDef` containing a fragment such as the following can be consumed when loading a `SavedModel`. This would result in a stack overflow during execution as resolving each `NodeDef` means resolving the function itself and its nodes. 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-2022-23591

To remediate CVE-2022-23591, 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 448a16182065bd08a202d9057dd8ca541e67996c or later
• —upgrade to 2.5.3 or later
• —upgrade to 448a16182065bd08a202d9057dd8ca541e67996c or later

Is CVE-2022-23591 being exploited?

Low — EPSS is 0.3%, 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, < 448a16182065bd08a202d9057dd8ca541e67996c | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
• from 0, < 2.5.3
• from 0, < 448a16182065bd08a202d9057dd8ca541e67996c | from 0, < 2.5.3, >= 2.6.0, < 2.6.3

CVSS scores

References (6)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2022-23591
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-100.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-155.yaml
• WEBgithub.com/tensorflow/tensorflow