PyPi: Intel-Tensorflow

CVE-2019-16778

Safety vulnerability ID: 57074

This vulnerability was reviewed by experts

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

Created at Dec 16, 2019 Updated at Dec 10, 2024
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Advisory

Intel-tensorflow 1.15 includes a fix for CVE-2019-16778: In TensorFlow before 1.15, a heap buffer overflow in UnsortedSegmentSum can be produced when the Index template argument is int32. In this case data_size and num_segments fields are truncated from int64 to int32 and can produce negative numbers, resulting in accessing out of bounds heap memory. This is unlikely to be exploitable and was detected and fixed internally in TensorFlow 1.15 and 2.0.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-844w-j86r-4x2j
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2019-002.md
https://github.com/tensorflow/tensorflow/commit/db4f9717c41bccc3ce10099ab61996b246099892

Affected package

intel-tensorflow

Latest version: 2.14.0

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

CRITICAL 9.8

CVSS v3 Details

CRITICAL 9.8
Attack Vector (AV)
NETWORK
Attack Complexity (AC)
LOW
Privileges Required (PR)
NONE
User Interaction (UI)
NONE
Scope (S)
UNCHANGED
Confidentiality Impact (C)
HIGH
Integrity Impact (I)
HIGH
Availability Availability (A)
HIGH

CVSS v2 Details

HIGH 7.5
Access Vector (AV)
NETWORK
Access Complexity (AC)
LOW
Authentication (Au)
NONE
Confidentiality Impact (C)
PARTIAL
Integrity Impact (I)
PARTIAL
Availability Impact (A)
PARTIAL