SSRF vulnerability in IBM Cognos Analytics 11.x (11.1.7-11.2.1)
CVE-2022-38708 Published on December 19, 2022

IBM Cognos Analytics server-side request forgery
IBM Cognos Analytics 11.1.7 11.2.0, and 11.2.1 could be vulnerable to a Server-Side Request Forgery Attack (SSRF) attack by constructing URLs from user-controlled data. This could enable attackers to make arbitrary requests to the internal network or to the local file system. IBM X-Force ID: 234180.

Vendor Advisory NVD

Vulnerability Analysis

CVE-2022-38708 is exploitable with network access, and does not require authorization privileges or 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 small impact on confidentiality and integrity, and no impact on availability.

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

Weakness Type

What is a SSRF Vulnerability?

The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. By providing URLs to unexpected hosts or ports, attackers can make it appear that the server is sending the request, possibly bypassing access controls such as firewalls that prevent the attackers from accessing the URLs directly. The server can be used as a proxy to conduct port scanning of hosts in internal networks, use other URLs such as that can access documents on the system (using file://), or use other protocols such as gopher:// or tftp://, which may provide greater control over the contents of requests.

CVE-2022-38708 has been classified to as a SSRF vulnerability or weakness.


Products Associated with CVE-2022-38708

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Affected Versions

IBM Cognos Analytics Version 11.1.7 11.2.0, 11.2.1 is affected by CVE-2022-38708

Exploit Probability

EPSS
0.11%
Percentile
28.75%

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.