Skip to main content
Press slash or control plus K to focus the search. Use the arrow keys to navigate results and press enter to open a threat.
Reconnecting to live updates…

CVE-2026-24903: CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in AlgoNetLab OrcaStatLLM-Researcher

0
Medium
VulnerabilityCVE-2026-24903cvecve-2026-24903cwe-79
Published: Fri Feb 06 2026 (02/06/2026, 17:46:20 UTC)
Source: CVE Database V5
Vendor/Project: AlgoNetLab
Product: OrcaStatLLM-Researcher

Description

OrcaStatLLM Researcher is an LLM Based Research Paper Generator. A Stored Cross-Site Scripting (XSS) vulnerability was discovered in the Log Message in the Session Page in OrcaStatLLM-Researcher that allows attackers to inject and execute arbitrary JavaScript code in victims' browsers through malicious research topic inputs.

Technical Details

Data Version
5.2
Assigner Short Name
GitHub_M
Date Reserved
2026-01-27T19:35:20.530Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 69862c29f9fa50a62f24b16f

Added to database: 2/6/2026, 6:00:09 PM

Last updated: 2/6/2026, 6:00:23 PM

Views: 1

Community Reviews

0 reviews

Crowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.

Sort by
Loading community insights…

Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.

Actions

Please log in to the Console to use AI analysis features.

Need more coverage?

Upgrade to Pro Console in Console -> Billing for AI refresh and higher limits.

For incident response and remediation, OffSeq services can help resolve threats faster.

Latest Threats