CVE-2026-56263
Undergoing Analysis Undergoing Analysis - In Progress
Stored XSS in Crawl4AI Monitor Dashboard

Publication date: 2026-06-23

Last updated on: 2026-06-23

Assigner: VulnCheck

Description
Crawl4AI before 0.8.7 contains a stored cross-site scripting vulnerability in the monitor dashboard that renders crawl URLs and error messages via innerHTML without escaping. An attacker can submit a crafted crawl request with malicious markup that executes in an operator's browser when viewing the dashboard.
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Meta Information
Published
2026-06-23
Last Modified
2026-06-23
Generated
2026-06-23
AI Q&A
2026-06-23
EPSS Evaluated
N/A
NVD
EUVD
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
unclecode crawl4ai to 0.8.7 (exc)
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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Executive Summary

Crawl4AI versions before 0.8.7 contain a stored cross-site scripting (XSS) vulnerability in the monitor dashboard. This vulnerability occurs because the dashboard renders crawl URLs and error messages using innerHTML without properly escaping the content. As a result, an attacker can submit a specially crafted crawl request containing malicious markup. When an operator views the dashboard, this malicious code executes in their browser.

Impact Analysis

This stored XSS vulnerability can allow an attacker to execute arbitrary JavaScript code in the browser of an operator who views the monitor dashboard. This can lead to unauthorized actions such as stealing session tokens, performing actions on behalf of the operator, or other malicious activities within the context of the operator's browser session.

Detection Guidance

The vulnerability is a stored cross-site scripting (XSS) issue in the Crawl4AI monitor dashboard that executes malicious markup when viewing crawl URLs and error messages. Detection involves monitoring for unusual or suspicious crawl requests containing potentially malicious markup submitted to the system.

Since the vulnerability manifests in the web interface rendering unescaped innerHTML, detection can include reviewing HTTP requests to the crawl endpoints for suspicious payloads containing script tags or HTML markup.

Specific commands are not provided in the resources, but general approaches include:

  • Using web server logs or proxy logs to search for crawl requests with suspicious HTML or JavaScript payloads.
  • Using tools like curl or wget to manually submit test crawl requests containing benign script tags to see if they appear unescaped in the dashboard.
  • Employing web vulnerability scanners that detect stored XSS by submitting crafted payloads and observing the dashboard output.
Mitigation Strategies

The primary mitigation is to upgrade Crawl4AI to version 0.8.7 or later, where the vulnerability has been fixed by properly escaping crawl URLs and error messages in the monitor dashboard.

Until an upgrade is possible, avoid viewing the monitor dashboard or restrict access to trusted operators only, to reduce the risk of executing malicious scripts.

Additional steps include sanitizing any user-submitted crawl requests and monitoring for suspicious activity related to crawl submissions.

Compliance Impact

The stored cross-site scripting (XSS) vulnerability in Crawl4AI before version 0.8.7 allows attackers to execute malicious scripts in an operator's browser by submitting crafted crawl requests. This can lead to unauthorized access to sensitive information displayed on the monitor dashboard.

Such unauthorized access and potential data exposure could impact compliance with data protection regulations like GDPR and HIPAA, which require safeguarding personal and sensitive information against unauthorized access and ensuring secure handling of data.

However, the provided information does not explicitly detail the direct compliance implications or specific regulatory impacts of this vulnerability.

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