CVE-2024-12927
Published: 25 December 2024
Summary
CVE-2024-12927 is a medium-severity Injection (CWE-74) vulnerability in 1000Projects Attendance Tracking Management System. Its CVSS base score is 6.9 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 28.2th 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-2024-51191
Vulnerability details
A vulnerability, which was classified as critical, has been found in 1000 Projects Attendance Tracking Management System 1.0. Affected by this issue is some unknown functionality of the file /faculty/check_faculty_login.php. The manipulation of the argument faculty_emailid leads to sql injection.…
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The attack may be launched remotely. The exploit has been disclosed to the public and may be used.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The unauthenticated SQL injection vulnerability in the web application's faculty login endpoint (/faculty/check_faculty_login.php) enables remote exploitation of a public-facing application (T1190), exploitation specifically for credential access such as dumping faculty credentials (T1212), and arbitrary data collection from databases via stacked queries and blind SQLi techniques (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.