CVE-2024-10768
Published: 04 November 2024
Summary
CVE-2024-10768 is a medium-severity Injection (CWE-74) vulnerability in Phpgurukul Online Shopping Portal. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique JavaScript (T1059.007); ranked at the 34.3th 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-2024-33295
Vulnerability details
A vulnerability classified as problematic was found in PHPGurukul Online Shopping Portal 2.0. This vulnerability affects unknown code of the file /admin/assets/plugins/DataTables/media/unit_testing/templates/two_tables.php. The manipulation of the argument scripts leads to cross site scripting. The attack can be initiated remotely. The…
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exploit has been disclosed to the public and may be used.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The XSS vulnerability in the web application enables injection and execution of arbitrary JavaScript code in the browser of victims viewing the affected page, directly mapping to T1059.007 (JavaScript) as noted in advisories.
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 submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
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 web inputs to reject script-related content that could produce XSS.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.
Identifies indicators of injection attacks (command, SQL, LDAP, etc.) via anomaly and attack monitoring.