CVE-2025-63532: n/a
Source CVE Database V5
Not known to be exploited · CVSS 9.6 Critical.
Data as of 26 Oct 2026, 08:30 UTC
- EPSS
- 0.3% chance of exploitation in 30 days – higher than 32% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AC:L/AV:N/A:N/C:H/I:H/PR:L/S:C/UI:NExploitation evidence
Disclosed: evidence found.
CVE published 1 Dec 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.
What to do
AI-suggested
Organizations should immediately audit their Blood Bank Management System installations to identify vulnerable versions. Since no official patches are currently available, implement strict input validation and parameterized queries or prepared statements in the cancel.php component to prevent SQL injection. Employ Web Application Firewalls (WAFs) configured to detect and block SQL injection attempts targeting the search field. Conduct thorough code reviews and penetration testing focused on SQL injection vectors. Restrict database user privileges to the minimum necessary to limit the impact of potential exploitation. Monitor system logs and network traffic for anomalous queries or unauthorized access attempts. Additionally, ensure that multi-factor authentication is enforced on administrative interfaces to add a layer of defense. Prepare incident response plans specific to potential data breaches involving this system.
Description
A SQL injection vulnerability exists in the Blood Bank Management System 1.0 within the cancel.php component. The application fails to properly sanitize user-supplied input in SQL queries, allowing an attacker to inject arbitrary SQL code. By manipulating the search field, an attacker can bypass authentication and gain unauthorized access to the system.