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Improper Restriction of Operations within the Bounds of a Memory Buffer in Google TensorFlow

High severity GitHub Reviewed Published Apr 30, 2019 to the GitHub Advisory Database • Updated Aug 23, 2024

Package

pip tensorflow (pip)

Affected versions

>= 1.1.0, < 1.7.1

Patched versions

1.7.1
pip tensorflow-gpu (pip)
>= 1.1.0, < 1.7.1
1.7.1

Description

Invalid memory access and/or a heap buffer overflow in the TensorFlow XLA compiler in Google TensorFlow before 1.7.1 could cause a crash or read from other parts of process memory via a crafted configuration file.

References

Published by the National Vulnerability Database Apr 24, 2019
Reviewed Apr 30, 2019
Published to the GitHub Advisory Database Apr 30, 2019
Last updated Aug 23, 2024

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
Required
Scope
Unchanged
Confidentiality
High
Integrity
None
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:H

EPSS score

0.127%
(48th percentile)

Weaknesses

CVE ID

CVE-2018-10055

GHSA ID

GHSA-q492-f7gr-27rp

Source code

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