GHSA-J7VW-J75M-9XFJ
Vulnerability from github – Published: 2026-08-20 15:34 – Updated: 2026-08-20 15:34
VLAI
Details
ATutor Gameme module allows users to upload files of any type and extension without restriction. Due to improper handling of file uploads, files are stored in a web-accessible location before their content is validated. An authenticated attacker who knows a valid course_id can upload a server-executable malicious script. The uploaded file can then be requested over HTTP, resulting in remote code execution as the web server process user. In most cases, course_id=0 can be used, as it commonly represents the global context.
Product is no longer actively supported and the vulnerabilities have not been fixed. Only version 2.2.4 was tested and confirmed as vulnerable, other versions were not tested but might also be vulnerable.
Severity
{
"affected": [],
"aliases": [
"CVE-2026-64960"
],
"database_specific": {
"cwe_ids": [
"CWE-434"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-20T14:17:44Z",
"severity": "HIGH"
},
"details": "ATutor Gameme module allows users to upload files of any type and extension without restriction. Due to improper handling of file uploads, files are stored in a web-accessible location before their content is validated.\u00a0An authenticated attacker who knows a valid course_id\u00a0can upload a server-executable malicious script. The uploaded file can then be requested over HTTP, resulting in remote code execution as the web server process user.\u00a0In most cases, course_id=0\u00a0can be used, as it commonly represents the global context.\n\n\n\n\nProduct is no longer actively supported and the vulnerabilities have not been fixed. Only version 2.2.4 was tested and confirmed as vulnerable, other versions were not tested but might also be vulnerable.",
"id": "GHSA-j7vw-j75m-9xfj",
"modified": "2026-08-20T15:34:17Z",
"published": "2026-08-20T15:34:17Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-64960"
},
{
"type": "WEB",
"url": "https://atutor.github.io"
},
{
"type": "WEB",
"url": "https://cert.pl/en/posts/2026/08/CVE-2026-64960"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:L/SI:L/SA:L/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"type": "CVSS_V4"
}
]
}
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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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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