CVE-2026-35169

Published: Apr 08, 2026 Last Modified: Apr 08, 2026
ExploitDB:
Other exploit source:
Google Dorks:
HIGH 8,7
Attack Vector: network
Attack Complexity: low
Privileges Required: low
User Interaction: required
Scope: changed
Confidentiality: high
Integrity: high
Availability: none

Description

AI Translation Available

LORIS (Longitudinal Online Research and Imaging System) is a self-hosted web application that provides data- and project-management for neuroimaging research. From to before 27.0.3 and 28.0.1, the help_editor module of LORIS did not properly sanitize some user supplied variables which could result in a reflected cross-site scripting attack if a user is tricked into following an invalid link. The same input vector could also allow an attacker to download arbitrary markdown files on an unpatched server. This vulnerability is fixed in 27.0.3 and 28.0.1.

EPSS (Exploit Prediction Scoring System)

Trend Analysis

EPSS (Exploit Prediction Scoring System)

Prevede la probabilità di sfruttamento basata su intelligence sulle minacce e sulle caratteristiche della vulnerabilità.

EPSS Score
0,0003
Percentile
0,1th
Updated

EPSS Score Trend (Last 8 Days)

79

Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

Stable
Common Consequences
Security Scopes Affected:
Access Control Confidentiality Integrity Availability
Potential Impacts:
Bypass Protection Mechanism Read Application Data Execute Unauthorized Code Or Commands
Applicable Platforms
Technologies: AI/ML, Web Based, Web Server
View CWE Details
552

Files or Directories Accessible to External Parties

Draft
Common Consequences
Security Scopes Affected:
Confidentiality Integrity
Potential Impacts:
Read Files Or Directories Modify Files Or Directories
Applicable Platforms
Technologies: Cloud Computing, Not Technology-Specific
View CWE Details
https://github.com/aces/Loris/security/advisories/GHSA-j2p3-58m2-v6q3