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CVE-2022-23561

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Date: February 4, 2022

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.

Language: C++

Severity Score

Severity Score

Weakness Type (CWE)

Out-of-bounds Write

CWE-787

Top Fix

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Upgrade Version

Upgrade to version tensorflow - 2.5.3,2.6.3,2.7.1,2.8.0;tensorflow-cpu - 2.5.3,2.6.3,2.7.1,2.8.0;tensorflow-gpu - 2.5.3,2.6.3,2.7.1,2.8.0

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CVSS v3.1

Base Score:
Attack Vector (AV): NETWORK
Attack Complexity (AC): LOW
Privileges Required (PR): LOW
User Interaction (UI): NONE
Scope (S): UNCHANGED
Confidentiality (C): HIGH
Integrity (I): HIGH
Availability (A): HIGH

CVSS v2

Base Score:
Access Vector (AV): NETWORK
Access Complexity (AC): LOW
Authentication (AU): SINGLE
Confidentiality (C): PARTIAL
Integrity (I): PARTIAL
Availability (A): PARTIAL
Additional information:

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