What is the CVSS score of CVE-2022-2768?

CVE-2022-2768 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: 0.4%.

Library Management System CVE-2022-2768

MEDIUM

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

2022-08-11 cna@vuldb.com

XSS Library Management System

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 11, 2022 - 12:15 nvd

MEDIUM 6.1

DescriptionNVD

A vulnerability classified as problematic was found in SourceCodester Library Management System. This vulnerability affects unknown code of the file /qr/I/. The manipulation of the argument error leads to cross site scripting. The attack can be initiated remotely. The identifier of this vulnerability is VDB-206164.

AnalysisAI

A vulnerability classified as problematic was found in SourceCodester Library Management System. 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. A vulnerability classified as problematic was found in SourceCodester Library Management System. This vulnerability affects unknown code of the file /qr/I/. The manipulation of the argument error leads to cross site scripting. The attack can be initiated remotely. The identifier of this vulnerability is VDB-206164. Affected products include: Library Management System Project Library Management System.

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.