GHSA-3HGV-JR5J-CG9X
Vulnerability from github – Published: 2026-08-19 19:32 – Updated: 2026-08-19 19:32
VLAI
Summary
Snipe-IT: Chained Information Disclosure and IDOR Leads to Full EULA File Takeover
Details
Impact
An attacker can completely bypass file-name randomization security and without authorization download confidential, signed EULA files belonging to any other user across the application.
Steps to Reproduce:
- Log in as a restricted user.
- Send a GET request to /api/v1/users/{target_id}/eulas (where target_id belongs to a restricted/denied user).
- Observe the response leaks the secret EULA filename (e.g., eula-xxx.pdf).
- Attempt to access this file via the main route: GET /stored-eula-file/{filename} (This will correctly return 403 Forbidden).
- Now, access the file via the vulnerable profile route: GET /account/stored-eula-file/{filename}.
- Observe that the server returns a 200 OK and successfully downloads the target user's secret EULA file.
Patches
Fixed in https://github.com/grokability/snipe-it/commit/f15d78621b003be30ac114ba68626683894935ef
Severity
{
"affected": [
{
"package": {
"ecosystem": "Packagist",
"name": "snipe/snipe-it"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "8.6.3"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-55694"
],
"database_specific": {
"cwe_ids": [
"CWE-639"
],
"github_reviewed": true,
"github_reviewed_at": "2026-08-19T19:32:18Z",
"nvd_published_at": null,
"severity": "HIGH"
},
"details": "### Impact\nAn attacker can completely bypass file-name randomization security and without authorization download confidential, signed EULA files belonging to any other user across the application.\n\n### Steps to Reproduce:\n1. Log in as a restricted user.\n2. Send a GET request to /api/v1/users/{target_id}/eulas (where target_id belongs to a restricted/denied user).\n3. Observe the response leaks the secret EULA filename (e.g., eula-xxx.pdf).\n4. Attempt to access this file via the main route: GET /stored-eula-file/{filename} (This will correctly return 403 Forbidden).\n5. Now, access the file via the vulnerable profile route: GET /account/stored-eula-file/{filename}.\n6. Observe that the server returns a 200 OK and successfully downloads the target user\u0027s secret EULA file.\n\n### Patches\nFixed in https://github.com/grokability/snipe-it/commit/f15d78621b003be30ac114ba68626683894935ef",
"id": "GHSA-3hgv-jr5j-cg9x",
"modified": "2026-08-19T19:32:18Z",
"published": "2026-08-19T19:32:18Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/grokability/snipe-it/security/advisories/GHSA-3hgv-jr5j-cg9x"
},
{
"type": "WEB",
"url": "https://github.com/grokability/snipe-it/commit/f15d78621b003be30ac114ba68626683894935ef"
},
{
"type": "PACKAGE",
"url": "https://github.com/grokability/snipe-it"
},
{
"type": "WEB",
"url": "https://github.com/grokability/snipe-it/releases/tag/v8.6.3"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Snipe-IT: Chained Information Disclosure and IDOR Leads to Full EULA File Takeover"
}
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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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