CVE-2026-3962 (GCVE-0-2026-3962)
Vulnerability from cvelistv5 – Published: 2026-03-11 22:32 – Updated: 2026-03-12 13:46
VLAI
Title
Jcharis Machine-Learning-Web-Apps Jinja2 Template app.py render_template cross site scripting
Summary
A vulnerability was identified in Jcharis Machine-Learning-Web-Apps up to a6996b634d98ccec4701ac8934016e8175b60eb5. The impacted element is the function render_template of the file Machine-Learning-Web-Apps-master/Build-n-Deploy-Flask-App-with-Waypoint/app/app.py of the component Jinja2 Template Handler. Such manipulation leads to cross site scripting. It is possible to launch the attack remotely. The exploit is publicly available and might be used. This product takes the approach of rolling releases to provide continious delivery. Therefore, version details for affected and updated releases are not available. The project was informed of the problem early through an issue report but has not responded yet.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.350391 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.350391 | signaturepermissions-required |
| https://vuldb.com/?submit.768226 | third-party-advisory |
| https://github.com/Jcharis/Machine-Learning-Web-A… | issue-tracking |
| https://github.com/Jcharis/Machine-Learning-Web-A… | exploitissue-tracking |
| https://github.com/Jcharis/Machine-Learning-Web-Apps/ | product |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Jcharis | Machine-Learning-Web-Apps |
Affected:
a6996b634d98ccec4701ac8934016e8175b60eb5
|
Credits
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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