What is the CVSS score of CVE-2024-57370?

CVE-2024-57370 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: 0.1%.

How to fix or mitigate CVE-2024-57370?

Within 30 days: Identify affected systems running sunnygkp10 Online Exam System master and apply vendor patches as part of regular patch cycle. Verify Content-Security-Policy and output encoding.

CVE-2024-57370

MEDIUM

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

2025-01-17 cve@mitre.org

XSS

6.1

CVSS 3.1 · Vendor: mitre

Severity by source

Vendor (mitre) PRIMARY

6.1 MEDIUM

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

Primary rating from Vendor (mitre) · only source for this CVE.

CVSS VectorVendor: mitre

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

Analysis Generated

Mar 28, 2026 - 18:04 vuln.today

CVE Published

Jan 17, 2025 - 20:15 nvd

MEDIUM 6.1

DescriptionCVE.org

Cross Site Scripting vulnerability in sunnygkp10 Online Exam System master version allows a remote attacker to obtain sensitive information via the w parameter.

AnalysisAI

Cross Site Scripting vulnerability in sunnygkp10 Online Exam System master version allows a remote attacker to obtain sensitive information via the w parameter. 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. Cross Site Scripting vulnerability in sunnygkp10 Online Exam System master version allows a remote attacker to obtain sensitive information via the w parameter.

Affected ProductsAI

See vendor advisory for affected versions.

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.