CVE-2026-3962

Published: Mar 12, 2026 Last Modified: Mar 12, 2026
ExploitDB:
Other exploit source:
Google Dorks:
MEDIUM 5,3
Source: [email protected]
Attack Vector: network
Attack Complexity: low
Privileges Required: none
User Interaction: passive
Confidentiality: N/A
Integrity: N/A
Availability: N/A
MEDIUM 4,3
Source: [email protected]
Attack Vector: network
Attack Complexity: low
Privileges Required: none
User Interaction: required
Scope: unchanged
Confidentiality: none
Integrity: low
Availability: none
MEDIUM 5,0
Source: [email protected]
Access Vector: network
Access Complexity: low
Authentication: none
Confidentiality: none
Integrity: partial
Availability: none

Description

AI Translation Available

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.

EPSS (Exploit Prediction Scoring System)

Trend Analysis

EPSS (Exploit Prediction Scoring System)

Prevede la probabilità di sfruttamento basata su intelligence sulle minacce e sulle caratteristiche della vulnerabilità.

EPSS Score
0,0004
Percentile
0,1th
Updated

EPSS Score Trend (Last 5 Days)

79

Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

Stable
Abstraction: Base Structure: Simple
Common Consequences
Security Scopes Affected:
Access Control Confidentiality Integrity Availability
Potential Impacts:
Bypass Protection Mechanism Read Application Data Execute Unauthorized Code Or Commands
Applicable Platforms
Technologies: AI/ML, Web Based, Web Server
Likelihood of Exploit: High
View CWE Details
94

Improper Control of Generation of Code ('Code Injection')

Draft
Abstraction: Base Structure: Simple
Common Consequences
Security Scopes Affected:
Access Control Integrity Confidentiality Availability Non-Repudiation
Potential Impacts:
Bypass Protection Mechanism Gain Privileges Or Assume Identity Execute Unauthorized Code Or Commands Hide Activities
Applicable Platforms
Languages: Interpreted
Technologies: AI/ML
Likelihood of Exploit: Medium
View CWE Details
https://github.com/Jcharis/Machine-Learning-Web-Apps/
https://github.com/Jcharis/Machine-Learning-Web-Apps/
https://github.com/Jcharis/Machine-Learning-Web-Apps/issues…
https://github.com/Jcharis/Machine-Learning-Web-Apps/issues/15
https://github.com/Jcharis/Machine-Learning-Web-Apps/issues…
https://github.com/Jcharis/Machine-Learning-Web-Apps/issues/15#issue-3995372171
https://vuldb.com/?ctiid.350391
https://vuldb.com/?ctiid.350391
https://vuldb.com/?id.350391
https://vuldb.com/?id.350391
https://vuldb.com/?submit.768226
https://vuldb.com/?submit.768226