5.5 Medium
CVSS3
Attack Vector
LOCAL
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
HIGH
Availability Impact
NONE
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N
6.3 Medium
AI Score
Confidence
High
0.0004 Low
EPSS
Percentile
15.7%
There is a vulnerability in Python Packaging Authority pip used by IBM Decision Optimization for IBM Cloud Pak for Data. IBM Decision Optimization for IBM Cloud Pak for Data has addressed the applicable CVE.
CVEID:CVE-2023-5752
**DESCRIPTION:**Python Packaging Authority pip could allow a local authenticated attacker to bypass security restrictions, caused by a flaw when installing a package from a Mercurial VCS URL. By sending a specially-crafted request, an attacker could exploit this vulnerability to inject arbitrary configuration options to the “hg clone” call to modify how and which repository is installed.
CVSS Base score: 3.3
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/269797 for the current score.
CVSS Vector: (CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N)
Affected Product(s) | Version(s) |
---|---|
Decision Optimization for Cloud Pak for Data | All |
Users are strongly encouraged to upgrade to IBM Decision Optimization for IBM Cloud Pak for Data 4.8 and subsequent releases.
Here is the detailed information on Upgrading IBM Cloud Pak for Data
None
CPE | Name | Operator | Version |
---|---|---|---|
decision optimization for cloud pak for data | eq | any |
5.5 Medium
CVSS3
Attack Vector
LOCAL
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
HIGH
Availability Impact
NONE
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N
6.3 Medium
AI Score
Confidence
High
0.0004 Low
EPSS
Percentile
15.7%