Overview
CVE-2025-0966 is a severe vulnerability that affects IBM InfoSphere Information Server 11.7. This vulnerability could potentially allow a remote attacker to execute SQL injection attacks, leading to unauthorized access and manipulation of the back-end database. Given the potential impact, which could include system compromise or data leakage, addressing this vulnerability is of the utmost importance.
Vulnerability Summary
CVE ID: CVE-2025-0966
Severity: High (7.6 CVSS)
Attack Vector: Network
Privileges Required: None
User Interaction: None
Impact: Potential system compromise or data leakage
Affected Products
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Product | Affected Versions
IBM InfoSphere Information Server | 11.7
How the Exploit Works
The exploit works by an attacker sending specially crafted SQL statements to the server. Due to the vulnerability in IBM InfoSphere Information Server 11.7, these malicious SQL statements could bypass normal authentication or validation procedures, allowing the attacker to have direct access to the back-end database. The vulnerability would allow the attacker to view, add, modify, or delete information in the database, potentially leading to a system compromise or data leakage.
Conceptual Example Code
This is a conceptual example of how the vulnerability might be exploited:
POST /infosphere/query HTTP/1.1
Host: target.example.com
Content-Type: application/sql
{ "query": "SELECT * FROM users WHERE username = '' OR '1'='1';" }The above example represents a typical SQL injection attack, where the attacker is attempting to bypass user authentication by including a condition (‘1’=’1’) that is always true. If the application is vulnerable, this would result in the attacker gaining access to all user data in the database.
Mitigation Guidance
IBM has released a patch to address this vulnerability. Users of IBM InfoSphere Information Server 11.7 are urged to apply the patch as soon as possible. As a temporary mitigation, users may also consider using a web application firewall (WAF) or intrusion detection system (IDS) to detect and block attempted SQL injection attacks.
