PyPi: Tensorflow-Rocm

CVE-2022-29210

Safety vulnerability ID: 57648

This vulnerability was reviewed by experts

The information on this page was manually curated by our Cybersecurity Intelligence Team.

Created at May 21, 2022 Updated at Nov 29, 2024
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Advisory

TensorFlow is an open source platform for machine learning. In version 2.8.0, the 'TensorKey' hash function used total estimated 'AllocatedBytes()', which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. 'int32_t'). It also tried to access individual tensor bytes through 'tensor.data()' of size 'AllocatedBytes()'. This led to ASAN failures because the 'AllocatedBytes()' is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the '.data()' buffer. The discoverers could not use this byte vector anyway because types such as 'tstring' include pointers, whereas they needed to hash the string values themselves. This issue is patched in Tensorflow versions 2.9.0 and 2.8.1.

Affected package

tensorflow-rocm

Latest version: 2.14.0.600

TensorFlow is an open source machine learning framework for everyone.

Affected versions

Fixed versions

Vulnerability changelog

This vulnerability has no description

Resources

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Severity Details

CVSS Base Score

MEDIUM 5.5

CVSS v3 Details

MEDIUM 5.5
Attack Vector (AV)
LOCAL
Attack Complexity (AC)
LOW
Privileges Required (PR)
LOW
User Interaction (UI)
NONE
Scope (S)
UNCHANGED
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Availability (A)
HIGH

CVSS v2 Details

LOW 2.1
Access Vector (AV)
LOCAL
Access Complexity (AC)
LOW
Authentication (Au)
NONE
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Impact (A)
PARTIAL