CVE-2024-10805
Published: 04 November 2024
Summary
CVE-2024-10805 is a medium-severity Injection (CWE-74) vulnerability in Anisha University Event Management System. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 26.8th 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-2024-33308
Vulnerability details
A vulnerability was found in code-projects University Event Management System 1.0. It has been classified as critical. This affects an unknown part of the file doedit.php. The manipulation of the argument id leads to sql injection. It is possible to…
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initiate the attack remotely. The exploit has been disclosed to the public and may be used. The initial researcher advisory mentions a confusing product name to be affected. Other parameters might be affected as well.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
SQL injection in public-facing web application (doedit.php) enables exploitation of public-facing app (T1190), abuse of server software component (T1505 as cited in advisory), and 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.
Enforces use of documented standards and tool configurations that address proper neutralization of inputs/outputs during development.
Validates query inputs to prevent SQL syntax or command manipulation.
Identifies indicators of injection attacks (command, SQL, LDAP, etc.) via anomaly and attack monitoring.