Platform
python
Component
machine-learning-web-apps
Fixed in
6996.0.1
CVE-2026-3962 describes a cross-site scripting (XSS) vulnerability discovered in Jcharis Machine-Learning-Web-Apps. This flaw resides within the render_template function of the Jinja2 Template Handler, allowing attackers to inject malicious scripts. Versions of the application up to a6996b634d98ccec4701ac8934016e8175b60eb5 are affected. The vendor utilizes a rolling release model, so continuous updates are provided.
Successful exploitation of CVE-2026-3962 allows an attacker to inject arbitrary JavaScript code into the web application. This can lead to a variety of malicious outcomes, including stealing user cookies and session tokens, redirecting users to phishing sites, or defacing the application's appearance. The remote nature of the vulnerability means an attacker doesn't need local access to exploit it. Given the publicly available proof-of-concept, the risk of exploitation is elevated. The impact is amplified if the application handles sensitive user data or performs critical operations, as the attacker could potentially gain unauthorized access and control.
CVE-2026-3962 is publicly known with a proof-of-concept available, indicating a higher probability of exploitation. The vulnerability has been published, and the vendor's rolling release model suggests ongoing efforts to address security concerns. It is not currently listed on CISA KEV, but the public availability of the exploit warrants close monitoring.
Exploit Status
EPSS
0.04% (12% percentile)
CISA SSVC
CVSS Vector
The primary mitigation for CVE-2026-3962 is to upgrade to the latest version of Jcharis Machine-Learning-Web-Apps. As the vendor employs a rolling release model, ensure you are running the most recent build. If an immediate upgrade is not feasible, consider implementing input validation and output encoding on user-supplied data used within templates. Web application firewalls (WAFs) configured to detect and block XSS payloads can provide an additional layer of defense. Monitor application logs for suspicious activity, such as unusual JavaScript execution patterns.
Update the Jinja2 library to the latest available version. Review and validate user inputs before rendering them in Jinja2 templates to prevent the injection of malicious code. Implement additional security measures, such as using appropriate escaping for variables.
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CVE-2026-3962 is a cross-site scripting (XSS) vulnerability in Jcharis Machine-Learning-Web-Apps allowing attackers to inject malicious scripts via the render_template function.
You are affected if you are using Jcharis Machine-Learning-Web-Apps versions up to a6996b634d98ccec4701ac8934016e8175b60eb5.
Upgrade to the latest version of Jcharis Machine-Learning-Web-Apps. The vendor uses a rolling release model, so ensure you are running the most recent build.
A proof-of-concept is publicly available, indicating a potential for active exploitation and requiring immediate attention.
Refer to the Jcharis project's official communication channels and release notes for the latest advisory regarding CVE-2026-3962.
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