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CVE-2022-23559

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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 an integer overflow in embedding lookup operations. Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version.

Language: C++

Severity Score

Severity Score

Weakness Type (CWE)

Integer Overflow or Wraparound

CWE-190

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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