Skip to content
Heist/ feed
Back to feed
Low

Jcharis Machine-Learning-Web-Apps Jinja2 Template app.py render_template cross site scripting

Type: advisorySources: OSV

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.

Products
Not specified
Affected versions
Not specified
Fixed versions
Not specified
CVEs
CVE-2026-3962
Confirmed fixed CVEs
Not specified
Updated in this feed
4 Nov 2026, 15:49 UTC · Revision 1

Source evidence

Jcharis Machine-Learning-Web-Apps Jinja2 Template app.py render_template cross site scripting

core-osv · Original source

Published 11 Mar 2026, 22:32 UTC

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.

osv:CVE-2026-3962
Complete source record
{
  "id": "90ce9dd8513060456ca42e917b2b91753728f9ed24827b4d25ff11ba57a35793",
  "url": "https://osv.dev/vulnerability/CVE-2026-3962",
  "method": "structured",
  "payload": {
    "kind": "advisory",
    "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.",
    "evidence": "osv:CVE-2026-3962",
    "products": [],
    "severity": "low",
    "structured": {
      "id": "CVE-2026-3962",
      "aliases": [
        "CVE-2026-3962"
      ],
      "metrics": [
        {
          "type": "CVSS_V4",
          "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:P"
        }
      ],
      "affected": [
        {
          "ranges": [
            {
              "repo": "https://github.com/jcharis/machine-learning-web-apps",
              "type": "GIT",
              "events": [
                {
                  "introduced": "a6996b634d98ccec4701ac8934016e8175b60eb5"
                },
                {
                  "last_affected": "a6996b634d98ccec4701ac8934016e8175b60eb5"
                }
              ],
              "database_specific": {
                "extracted_events": [
                  {
                    "range": [
                      {
                        "introduced": "a6996b634d98ccec4701ac8934016e8175b60eb5"
                      },
                      {
                        "last_affected": "a6996b634d98ccec4701ac8934016e8175b60eb5"
                      }
                    ],
                    "source": "AFFECTED_FIELD",
                    "strategy": "StandaloneSingleVersion"
                  }
                ]
              }
            }
          ],
          "versions": [
            "a6996b634d98ccec4701ac8934016e8175b60eb5"
          ],
          "database_specific": {
            "source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2026-3962.json"
          }
        }
      ],
      "modified": "2026-10-28T02:30:37.052794435Z",
      "provider": "osv",
      "references": [
        "https://github.com/Jcharis/Machine-Learning-Web-Apps/",
        "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/3xxx/CVE-2026-3962.json",
        "https://nvd.nist.gov/vuln/detail/CVE-2026-3962",
        "https://vuldb.com/?id.350391",
        "https://vuldb.com/?submit.768226",
        "https://github.com/Jcharis/Machine-Learning-Web-Apps/issues/15",
        "https://github.com/Jcharis/Machine-Learning-Web-Apps/issues/15#issue-3995372171",
        "https://vuldb.com/?ctiid.350391"
      ],
      "provider_metadata": {
        "cwe_ids": [
          "CWE-79",
          "CWE-94"
        ],
        "cna_assigner": "VulDB",
        "osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/3xxx/CVE-2026-3962.json"
      }
    },
    "related_cves": [
      {
        "value": "CVE-2026-3962",
        "evidence": "/id"
      }
    ],
    "security_relevant": true,
    "severity_evidence": "/severity/0/score"
  },
  "source_id": "core-osv",
  "document_id": 504273,
  "published_at": "2026-03-11T22:32:08.555+00:00"
}