CVE-2025-11481
Published: 08 October 2025
Summary
CVE-2025-11481 is a low-severity Injection (CWE-74) vulnerability in Varunsardana004 Blood Bank And Donation Management System. Its CVSS base score is 2.1 (Low).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 14.0th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-33299
Vulnerability details
A flaw has been found in varunsardana004 Blood-Bank-And-Donation-Management-System up to dc9e0393d826fbc85fad9755b5bc12cba1919df2. The impacted element is an unknown function of the file /donate_blood.php. Executing manipulation of the argument fullname can lead to sql injection. The attack may be performed from remote.…
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The exploit has been published and may be used. This product utilizes a rolling release system for continuous delivery, and as such, version information for affected or updated releases is not disclosed.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
SQL injection in public-facing web app (/donate_blood.php) enables initial access via exploitation of public-facing application (T1190), abuse of server software component (T1505 as noted in advisory), and unauthorized data collection from databases (T1213.006).
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing uses SQL injection payloads against database interfaces, identifying and supporting fixes for SQL injection weaknesses.
Developer assessments and testing (including injection-focused techniques) identify improper neutralization of special elements, and the verifiable flaw remediation corrects them pre-deployment.
Validates query inputs to prevent SQL syntax or command manipulation.
Identifies indicators of injection attacks (command, SQL, LDAP, etc.) via anomaly and attack monitoring.