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Security Bulletin: TensorFlow is vulnerable to a heap-based buffer overflow on IBM Watson Machine Learning on CP4D

Security Bulletin


Summary

TensorFlow is vulnerable to a heap-based buffer overflow, caused by improper bounds checking by UnsortedSegmentSum on IBM Watson Machine Learning on CP4D

Vulnerability Details

CVEID:   CVE-2019-16778
DESCRIPTION:   TensorFlow is vulnerable to a heap-based buffer overflow, caused by improper bounds checking by UnsortedSegmentSum. A local attacker could overflow a buffer and execute arbitrary code on the system or cause the application to crash.
CVSS Base score: 5.9
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/173158 for the current score.
CVSS Vector: (CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L)

Affected Products and Versions

Affected Product(s)Version(s)
IBM Watson Machine Learning on CP4D2.5

Remediation/Fixes

Fix is available on IBM Watson Machine Learning on CP4D 3.0 and 3.5
Patches are available here : https://www.ibm.com/support/pages/node/5693732

Workarounds and Mitigations

None

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References

Complete CVSS v3 Guide
On-line Calculator v3

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Related Information

IBM Secure Engineering Web Portal
IBM Product Security Incident Response Blog

Change History

21 Apr 2021: Initial Publication

*The CVSS Environment Score is customer environment specific and will ultimately impact the Overall CVSS Score. Customers can evaluate the impact of this vulnerability in their environments by accessing the links in the Reference section of this Security Bulletin.

Disclaimer

Review the IBM security bulletin disclaimer and definitions regarding your responsibilities for assessing potential impact of security vulnerabilities to your environment.

Document Location

Worldwide

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Document Information

Modified date:
03 May 2021

UID

ibm16449296

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