PyPi: Tensorflow-Rocm-Enhanced

CVE-2020-15201

Safety vulnerability ID: 58233

This vulnerability was reviewed by experts

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

Created at Sep 25, 2020 Updated at Nov 29, 2024
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Advisory

Tensorflow-rocm-enhanced 2.3.1 includes a fix for CVE-2020-15201: In Tensorflow before version 2.3.1, the "RaggedCountSparseOutput" implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the "splits" tensor generate a valid partitioning of the "values" tensor. Hence, the code is prone to heap buffer overflow. If "split_values" does not end with a value at least "num_values" then the "while" loop condition will trigger a read outside of the bounds of "split_values" once "batch_idx" grows too large. The issue was patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p5f8-gfw5-33w4

Affected package

tensorflow-rocm-enhanced

Latest version: 2.4.3

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 4.8

CVSS v3 Details

MEDIUM 4.8
Attack Vector (AV)
NETWORK
Attack Complexity (AC)
HIGH
Privileges Required (PR)
NONE
User Interaction (UI)
NONE
Scope (S)
UNCHANGED
Confidentiality Impact (C)
LOW
Integrity Impact (I)
LOW
Availability Availability (A)
NONE

CVSS v2 Details

MEDIUM 6.8
Access Vector (AV)
NETWORK
Access Complexity (AC)
MEDIUM
Authentication (Au)
NONE
Confidentiality Impact (C)
PARTIAL
Integrity Impact (I)
PARTIAL
Availability Impact (A)
PARTIAL