Oracle PeopleSoft ELM 9.2 HTTP Low Priv Data Mod (CVE-2024-21286)
CVE-2024-21286 Published on October 15, 2024

Vulnerability in the PeopleSoft Enterprise ELM Enterprise Learning Management product of Oracle PeopleSoft (component: Enterprise Learning Management). The supported version that is affected is 9.2. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise PeopleSoft Enterprise ELM Enterprise Learning Management. Successful attacks require human interaction from a person other than the attacker and while the vulnerability is in PeopleSoft Enterprise ELM Enterprise Learning Management, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of PeopleSoft Enterprise ELM Enterprise Learning Management accessible data as well as unauthorized read access to a subset of PeopleSoft Enterprise ELM Enterprise Learning Management accessible data. CVSS 3.1 Base Score 5.4 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N).

Vendor Advisory NVD

Vulnerability Analysis

CVE-2024-21286 is exploitable with network access, requires user interaction and a small amount of user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have a small impact on confidentiality and integrity, and no impact on availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
LOW
User Interaction:
REQUIRED
Scope:
CHANGED
Confidentiality Impact:
LOW
Integrity Impact:
LOW
Availability Impact:
NONE

Products Associated with CVE-2024-21286

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Oracle
 
Oracle Peoplesoft Enterprise
 

Affected Versions

Oracle Corporation PeopleSoft Enterprise ELM Enterprise Learning Management Version 9.2 is affected by CVE-2024-21286

Exploit Probability

EPSS
0.46%
Percentile
64.00%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.