CVE-2022-38553
Published: 26 September 2022
Summary
CVE-2022-38553 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Creativeitem Academy Learning Management System. Its CVSS base score is 6.1 (Medium).
Operationally, ranked in the top 3.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
Academy Learning Management System versions prior to 5.9.1 contain a reflected cross-site scripting vulnerability, tracked as CVE-2022-38553, that is triggered through the Search parameter. The flaw is classified under CWE-79 with a CVSS 3.1 score of 6.1, reflecting network attack vector, low complexity, no required privileges, and required user interaction that results in changed scope with limited impacts to confidentiality and integrity.
An unauthenticated attacker can supply a crafted search query containing JavaScript in a URL and induce a victim to visit the link, causing the script to execute in the victim's browser context within the affected application. This enables actions such as stealing session tokens or performing unauthorized operations on behalf of the user.
The EPSS score has remained flat at a peak of 0.3074 since disclosure, with no indication of rising exploitation interest. Public references include a proof-of-concept demonstrating the payload in the search endpoint but do not detail additional mitigations beyond upgrading to version 5.9.1.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-41131
Vulnerability details
Academy Learning Management System before v5.9.1 was discovered to contain a reflected cross-site scripting (XSS) vulnerability via the Search parameter.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
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.
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.