CVE-2024-41572
Published: 21 August 2024
Summary
CVE-2024-41572 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Lang-Learn-Guy Learning With Texts. Its CVSS base score is 6.1 (Medium).
Operationally, ranked at the 43.0th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-39329
Vulnerability details
Learning with Texts (LWT) 2.0.3 is vulnerable to Cross Site Scripting (XSS). The application has a specific function that does not filter special characters in URL parameters. Remote attackers can inject JavaScript code without authorization. Exploiting this vulnerability, attackers can…
more
steal user credentials or execute actions such as injecting malicious scripts or redirecting users to malicious sites.
- 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.