CVE Tools

CVE-2024-58289

Microweber 2.0.15 Stored Cross-Site Scripting via User Profile Fields

Published: Dec 11, 2025Updated: Jan 12, 2026 Sources: CVE List NVDCWE-79
5.4CVSSMEDIUM

Description

Microweber 2.0.15 contains a stored cross-site scripting vulnerability that allows authenticated attackers to inject malicious scripts into user profile fields. Attackers can input script payloads in the first name field that will execute when the profile is viewed by other users, potentially stealing session cookies and executing arbitrary JavaScript.

CVSS Vector Breakdown

AV:NAC:LPR:LUI:RS:CC:LI:LA:N
Exploitability
AV:NAttack Vector
Network
AC:LAttack Complexity
Low
PR:LPrivileges Required
Low
UI:RUser Interaction
Required
Scope
S:CScope
Changed
Impact
C:LConfidentiality
Low
I:LIntegrity
Low
A:NAvailability
None

Weaknesses

Affected Products

microwebeross-projectWeb & CMS Pluginsaka microweber/microweber

Attack Graph

Products CVE Techniques Tactics

Click technique nodes to view MITRE ATT&CK details. Scroll to zoom, drag to pan.

Exploitability

1 exploit source identified

Exploit details including PoC links, Metasploit modules, and scanner templates are available after registration.

View exploit details

MITRE ATT&CK

2 techniques
Execution
Initial Access
View detailed technique mapping

References

and 1 more references View all →

Timeline

Published
Dec 11, 2025
Last Updated
Jan 12, 2026

Unlock Complete Vulnerability Intelligence

Get the full picture for CVE-2024-58289 and every CVE in our database. Create a free account — no credit card required.

Create Free Account
Plain-language analysis
Impact assessment and exploitation scenario in plain English
Attack graph visualization
Interactive attack path and kill chain mapping
Exploit details & PoC links
ExploitDB, Metasploit, GitHub PoCs with direct links
Nuclei scanner templates
Ready-to-use vulnerability scanner templates
Full remediation guide
Patch instructions, workarounds, and compliance impact
Interactive AI chat
Ask questions about this vulnerability in natural language
Related vulnerabilities
Semantically similar CVEs and attack patterns
REST API & MCP access
Integrate vulnerability data into your workflows