What is the CVSS score of CVE-2019-5458?

CVE-2019-5458 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: 0.7%.

Is there a public PoC exploit available for CVE-2019-5458?

Yes, a public proof-of-concept exploit is available for CVE-2019-5458. Prioritise patching immediately. EPSS: 0.7%.

Http File Server CVE-2019-5458

MEDIUM

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

2019-07-30 support@hackerone.com

XSS Http File Server

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

Jul 30, 2019 - 21:15 nvd

MEDIUM 5.4

DescriptionNVD

Cross-site scripting (XSS) vulnerability in http-file-server (all versions) allows an attacker with access to the server file system to execute arbitrary JavaScript code in victim's browser.

AnalysisAI

Cross-site scripting (XSS) vulnerability in http-file-server (all versions) allows an attacker with access to the server file system to execute arbitrary JavaScript code in victim's browser. Rated medium severity (CVSS 5.4), this vulnerability is remotely exploitable, low attack complexity. Public exploit code available and 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 (XSS) vulnerability in http-file-server (all versions) allows an attacker with access to the server file system to execute arbitrary JavaScript code in victim's browser. Affected products include: Http-File-Server Project Http-File-Server.

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.