CVE-2025-47783
HIGHCVSS Vector
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:N/SC:L/SI:L/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Lifecycle Timeline
4Tags
Description
Label Studio is a multi-type data labeling and annotation tool. A vulnerability in versions prior to 1.18.0 allows an attacker to inject a malicious script into the context of a web page, which can lead to data theft, session hijacking, unauthorized actions on behalf of the user, and other attacks. The vulnerability is reproducible when sending a properly formatted request to the `POST /projects/upload-example/` endpoint. In the source code, the vulnerability is located at `label_studio/projects/views.py`. Version 1.18.0 contains a patch for the issue.
Analysis
Label Studio is a multi-type data labeling and annotation tool. Rated high severity (CVSS 7.6), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available and no vendor patch available.
Technical Context
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. Label Studio is a multi-type data labeling and annotation tool. A vulnerability in versions prior to 1.18.0 allows an attacker to inject a malicious script into the context of a web page, which can lead to data theft, session hijacking, unauthorized actions on behalf of the user, and other attacks. The vulnerability is reproducible when sending a properly formatted request to the `POST /projects/upload-example/` endpoint. In the source code, the vulnerability is located at `label_studio/projects/views.py`. Version 1.18.0 contains a patch for the issue. Affected products include: Humansignal Label Studio. Version information: prior to 1.18.0.
Affected Products
Humansignal Label Studio.
Remediation
No vendor patch is available at time of analysis. Monitor vendor advisories for updates. 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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