What is the CVSS score of CVE-2024-41572?

CVE-2024-41572 has a CVSS 3.1 base score of 6.1 (Medium). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N. EPSS exploitation probability: 0.3%.

Learning With Texts CVE-2024-41572

MEDIUM

Cross-site Scripting (XSS) (CWE-79)

2024-08-21 cve@mitre.org

XSS Learning With Texts

6.1

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

6.1 MEDIUM

AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

Required

Scope

Changed

Confidentiality

Low

Integrity

Low

Availability

None

Lifecycle Timeline

CVE Published

Aug 21, 2024 - 19:15 nvd

MEDIUM 6.1

DescriptionNVD

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 steal user credentials or execute actions such as injecting malicious scripts or redirecting users to malicious sites.

AnalysisAI

Learning with Texts (LWT) 2.0.3 is vulnerable to Cross Site Scripting (XSS). Rated medium severity (CVSS 6.1), this vulnerability is remotely exploitable, no authentication required, low attack complexity. No vendor patch available.

Technical ContextAI

This vulnerability is classified as Cross-Site Scripting (XSS) (CWE-79), which allows attackers to inject malicious scripts into web pages viewed by other users. 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 steal user credentials or execute actions such as injecting malicious scripts or redirecting users to malicious sites. Affected products include: Lang-Learn-Guy Learning With Texts.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Sanitize all user input, use Content-Security-Policy headers, encode output contextually (HTML, JS, URL). Use frameworks with built-in XSS protection.