What is the CVSS score of CVE-2024-52943?

CVE-2024-52943 has a CVSS 3.1 base score of 5.4 (Medium). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N. EPSS exploitation probability: 1.1%.

Enterprise Vault CVE-2024-52943

MEDIUM

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

2024-11-18 cve@mitre.org

Hashicorp XSS Enterprise Vault

5.4

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

5.4 MEDIUM

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

Attack Vector

Network

Attack Complexity

Low

Privileges Required

Low

User Interaction

Required

Scope

Changed

Confidentiality

Low

Integrity

Low

Availability

None

Lifecycle Timeline

CVE Published

Nov 18, 2024 - 06:15 nvd

MEDIUM 5.4

DescriptionNVD

An issue was discovered in Veritas Enterprise Vault before 15.1 UPD882911, ZDI-CAN-24697. It allows an authenticated remote attacker to inject a parameter into an HTTP request, allowing for Cross-Site Scripting (XSS) while viewing archived content. This could reflect back to an authenticated user without sanitization if executed by that user.

AnalysisAI

An issue was discovered in Veritas Enterprise Vault before 15.1 UPD882911, ZDI-CAN-24697. Rated medium severity (CVSS 5.4), this vulnerability is remotely exploitable, 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. An issue was discovered in Veritas Enterprise Vault before 15.1 UPD882911, ZDI-CAN-24697. It allows an authenticated remote attacker to inject a parameter into an HTTP request, allowing for Cross-Site Scripting (XSS) while viewing archived content. This could reflect back to an authenticated user without sanitization if executed by that user. Affected products include: Veritas Enterprise Vault. Version information: before 15.1.

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.