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.
Attack Parameters
Attack Vector
Network
Can be exploited remotely
Attack Complexity
Low
Easy to exploit
Attack Requirements
None
No additional conditions
Privileges Required
None
No privileges needed
User Interaction
Passive
Minimal interaction
Impact Assessment
Confidentiality
None
No data leak
Integrity
Low
Partial data modification
Availability
None
No disruption
CVSS Vector v4.0
Weakness Type (CWE)
References 6
https://github.com/Jcharis/Machine-Learning-Web-Apps/
cna@vuldb.com
https://github.com/Jcharis/Machine-Learning-Web-Apps/issues/15
cna@vuldb.com
https://github.com/Jcharis/Machine-Learning-Web-Apps/issues/15#issue-3995372171
cna@vuldb.com
https://vuldb.com/?ctiid.350391
cna@vuldb.com
https://vuldb.com/?id.350391
cna@vuldb.com
https://vuldb.com/?submit.768226
cna@vuldb.com