Oracle EQA Dashboard CVE-2022-21613: Unauth RCE in 12.2.1.3/4
CVE-2022-21613 Published on October 18, 2022

Vulnerability in the Oracle Enterprise Data Quality product of Oracle Fusion Middleware (component: Dashboard). Supported versions that are affected are 12.2.1.3.0 and 12.2.1.4.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Enterprise Data Quality. Successful attacks require human interaction from a person other than the attacker and while the vulnerability is in Oracle Enterprise Data Quality, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Enterprise Data Quality accessible data as well as unauthorized update, insert or delete access to some of Oracle Enterprise Data Quality accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of Oracle Enterprise Data Quality. CVSS 3.1 Base Score 8.8 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:L).

NVD

Vulnerability Analysis

CVE-2022-21613 can be exploited with network access, requires user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality, with no impact on integrity and availability.

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

Products Associated with CVE-2022-21613

You can be notified by email with stack.watch whenever vulnerabilities like CVE-2022-21613 are published in Oracle Enterprise Data Quality:

 

Affected Versions

Oracle Corporation Enterprise Data Quality:

Exploit Probability

EPSS
1.33%
Percentile
79.71%

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.