GHSA-Q4R9-2GMR-G75G
Vulnerability from github – Published: 2024-05-22 12:32 – Updated: 2024-05-22 12:32
VLAI
Details
A vulnerability in lunary-ai/lunary version 1.2.2 allows attackers to bypass user creation limits and potentially evade payment requirements. The issue arises from an undefined behavior when handling input to the API, specifically through a POST request to the /v1/users endpoint. By crafting a request with a new user's email and assigning them an 'admin' role, attackers can invite additional users beyond the set limit. This vulnerability could be exploited to add an unlimited number of users without adhering to the intended restrictions.
Severity
4.3 (Medium)
{
"affected": [],
"aliases": [
"CVE-2024-4153"
],
"database_specific": {
"cwe_ids": [
"CWE-475"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-05-22T10:15:08Z",
"severity": "MODERATE"
},
"details": "A vulnerability in lunary-ai/lunary version 1.2.2 allows attackers to bypass user creation limits and potentially evade payment requirements. The issue arises from an undefined behavior when handling input to the API, specifically through a POST request to the /v1/users endpoint. By crafting a request with a new user\u0027s email and assigning them an \u0027admin\u0027 role, attackers can invite additional users beyond the set limit. This vulnerability could be exploited to add an unlimited number of users without adhering to the intended restrictions.",
"id": "GHSA-q4r9-2gmr-g75g",
"modified": "2024-05-22T12:32:26Z",
"published": "2024-05-22T12:32:26Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-4153"
},
{
"type": "WEB",
"url": "https://huntr.com/bounties/336db0ae-fe33-44b9-ba9d-bf117e0d90c4"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
"type": "CVSS_V3"
}
]
}
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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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