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CVE-2022-41883

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Date: November 17, 2022

TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Language: Python

Severity Score

Related Resources (7)

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w58w-79xv-6vcj
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/dynamic_stitch_op.cc
https://github.com/tensorflow/tensorflow/commit/f5381e0e10b5a61344109c1b7c174c68110f7629
https://github.com/tensorflow/tensorflow
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/data_flow_ops.cc
https://nvd.nist.gov/vuln/detail/CVE-2022-41883
https://www.mend.io/vulnerability-database/CVE-2022-41883

Severity Score

Weakness Type (CWE)

Out-of-bounds Read

CWE-125

Top Fix

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Upgrade Version

Upgrade to version tensorflow - 2.10.1, 2.11.0, tensorflow-cpu - 2.10.1, 2.11.0, tensorflow-gpu - 2.10.1, 2.11.0

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CVSS v3.1

Base Score:
Attack Vector (AV): NETWORK
Attack Complexity (AC): LOW
Privileges Required (PR): LOW
User Interaction (UI): REQUIRED
Scope (S): UNCHANGED
Confidentiality (C): LOW
Integrity (I): LOW
Availability (A): HIGH

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