Metersphere
CVE-2022-23544
MEDIUM
Severity by source
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
Lifecycle Timeline
1DescriptionNVD
MeterSphere is a one-stop open source continuous testing platform, covering test management, interface testing, UI testing and performance testing. Versions prior to 2.5.0 are subject to a Server-Side Request Forgery that leads to Cross-Site Scripting. A Server-Side request forgery in IssueProxyResourceService::getMdImageByUrl allows an attacker to access internal resources, as well as executing JavaScript code in the context of Metersphere's origin by a victim of a reflected XSS. This vulnerability has been fixed in v2.5.0. There are no known workarounds.
AnalysisAI
MeterSphere is a one-stop open source continuous testing platform, covering test management, interface testing, UI testing and performance testing. Rated medium severity (CVSS 6.1), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code 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. MeterSphere is a one-stop open source continuous testing platform, covering test management, interface testing, UI testing and performance testing. Versions prior to 2.5.0 are subject to a Server-Side Request Forgery that leads to Cross-Site Scripting. A Server-Side request forgery in IssueProxyResourceService::getMdImageByUrl allows an attacker to access internal resources, as well as executing JavaScript code in the context of Metersphere's origin by a victim of a reflected XSS. This vulnerability has been fixed in v2.5.0. There are no known workarounds. Affected products include: Metersphere. Version information: prior to 2.5.0.
RemediationAI
A vendor patch is available. Apply the latest security update as soon as possible. Sanitize all user input, use Content-Security-Policy headers, encode output contextually (HTML, JS, URL). Use frameworks with built-in XSS protection.
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External POC / Exploit Code
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