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Security Bulletin: PostgreSQL vulnerabilities in IBM Robotic Process Automation with Automation Anywhere (CVE-2019-10164)

Security Bulletin


Summary

IBM Robotic Process Automation with Automation Anywhere is vulnerable to attacks involving PostgreSQL.

Vulnerability Details

CVEID:   CVE-2019-10164
DESCRIPTION:   PostgreSQL is vulnerable to a stack-based buffer overflow, caused by improper bounds checking. By setting a specially-crafted password, a remote authenticated attacker could overflow a buffer and execute arbitrary code on the system.
CVSS Base score: 7.5
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/167576 for the current score.
CVSS Vector: (CVSS:3.0/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H)

Affected Products and Versions

Affected Product(s)Version(s)
IBM Robotic Process Automation with Automation Anywhere11.0

Remediation/Fixes

ProductVRMFRemediation / First Fix
IBM Robotic Process Automation with Automation Anywhere11.0.0.8IBM Robotic Process Automation Anywhere v11.0.0.8  Date 1/21/2020

Workarounds and Mitigations

None

Get Notified about Future Security Bulletins

References

Off

Change History

02 Mar 2020: 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

[{"Business Unit":{"code":"BU053","label":"Cloud & Data Platform"},"Product":{"code":"SSMGNY","label":"IBM Robotic Process Automation with Automation Anywhere"},"Component":"PostgreSQL","Platform":[{"code":"PF033","label":"Windows"}],"Version":"11.0.0","Edition":"Express and Enterprise","Line of Business":{"code":"LOB45","label":"Automation"}}]

Document Information

Modified date:
13 April 2020

UID

ibm16188553