CVE-2025-61190
Received Received - Intake
Reflected XSS in DSpace JSPUI 6.5 Search Filters

Publication date: 2026-03-27

Last updated on: 2026-03-31

Assigner: MITRE

Description
A Reflected Cross-Site Scripting (XSS) vulnerability has been identified in DSpace JSPUI 6.5 within the search/discover filtering functionality. The vulnerability exists due to improper sanitization of user-supplied input via the filter_type_1 parameter.
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Meta Information
Published
2026-03-27
Last Modified
2026-03-31
Generated
2026-05-07
AI Q&A
2026-03-27
EPSS Evaluated
2026-05-05
NVD
EUVD
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
lyrasis dspace 6.5
Helpful Resources
Exploitability
CWE
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KEV
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CWE ID Description
CWE-79 The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.
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AI Powered Q&A
Can you explain this vulnerability to me?

CVE-2025-61190 is a Reflected Cross-Site Scripting (XSS) vulnerability found in DSpace JSPUI version 6.5, specifically in the search/discover filtering functionality.

The vulnerability occurs because the filter_type_1 parameter accepts user input that is not properly sanitized or encoded before being reflected in the HTML output.

This improper sanitization allows attackers to inject arbitrary JavaScript code that executes in the browsers of users who visit a specially crafted URL.

An attacker can exploit this remotely by sending a malicious request containing harmful input in the filter_type_1 parameter, which can be delivered via a malicious URL or by intercepting and modifying traffic.


How can this vulnerability impact me? :

Successful exploitation of this vulnerability can lead to arbitrary JavaScript execution in the victim’s browser.

  • Session hijacking, allowing attackers to steal user sessions.
  • Phishing attacks by manipulating the user interface to trick users.
  • User interface manipulation that can mislead or confuse users.
  • Other client-side attacks that compromise user security and privacy.

How can this vulnerability be detected on my network or system? Can you suggest some commands?

This vulnerability can be detected by testing the search/discover filtering functionality of DSpace JSPUI version 6.5, specifically by injecting malicious input into the filter_type_1 parameter and observing if it is improperly sanitized and reflected in the HTML output.

A practical detection method is to send a crafted HTTP request with a payload such as: test1"><input onfocus=javascript:confirm(1) autofocus> (URL encoded as test1%22%3E%3Cinput+onfocus%3djavascript%3aconfirm(1)+autofocus%3E) to the filter_type_1 parameter and check if the injected JavaScript executes in the browser.

Example command using curl to test the vulnerability:

  • curl -G --data-urlencode 'filter_type_1=test1"><input onfocus=javascript:confirm(1) autofocus>' https://target.example/discover

Alternatively, intercepting and modifying traffic with tools like Burp Suite to inject the payload into the filter_type_1 parameter can help detect the vulnerability.


What immediate steps should I take to mitigate this vulnerability?

Immediate mitigation steps include sanitizing and encoding all user-supplied input, especially the filter_type_1 parameter, to prevent execution of injected scripts.

If a patch or update is available from the vendor (Lyrasis for DSpace JSPUI), apply it promptly to fix the improper input sanitization.

As a temporary workaround, consider implementing web application firewall (WAF) rules to block or filter requests containing suspicious input patterns targeting the filter_type_1 parameter.

Educate users about the risks of clicking on untrusted URLs that may exploit this vulnerability.


How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:

The vulnerability allows arbitrary JavaScript execution in users' browsers, which can lead to session hijacking, phishing attacks, and user interface manipulation.

Such attacks can compromise the confidentiality and integrity of user data, potentially leading to unauthorized access to personal or sensitive information.

This can negatively impact compliance with data protection regulations like GDPR and HIPAA, which require safeguarding personal data against unauthorized access and ensuring secure handling of user information.


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