GHSA-Q575-W65C-XRQF
Vulnerability from github – Published: 2022-05-24 19:10 – Updated: 2022-05-24 19:10
VLAI
Details
Southsoft GMIS 5.0 is vulnerable to CSRF attacks. Attackers can access other users' private information such as photos through CSRF. For example: any student's photo information can be accessed through /gmis/(S([1]))/student/grgl/PotoImageShow/?bh=[2]. Among them, the code in [1] is a random string generated according to the user's login related information. It can protect the user's identity, but it can not effectively prevent unauthorized access. The code in [2] is the student number of any student. The attacker can carry out CSRF attack on the system by modifying [2] without modifying [1].
{
"affected": [],
"aliases": [
"CVE-2021-37381"
],
"database_specific": {
"cwe_ids": [
"CWE-352"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2021-08-06T13:15:00Z",
"severity": "HIGH"
},
"details": "Southsoft GMIS 5.0 is vulnerable to CSRF attacks. Attackers can access other users\u0027 private information such as photos through CSRF. For example: any student\u0027s photo information can be accessed through /gmis/(S([1]))/student/grgl/PotoImageShow/?bh=[2]. Among them, the code in [1] is a random string generated according to the user\u0027s login related information. It can protect the user\u0027s identity, but it can not effectively prevent unauthorized access. The code in [2] is the student number of any student. The attacker can carry out CSRF attack on the system by modifying [2] without modifying [1].",
"id": "GHSA-q575-w65c-xrqf",
"modified": "2022-05-24T19:10:19Z",
"published": "2022-05-24T19:10:19Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-37381"
},
{
"type": "WEB",
"url": "https://github.com/caiteli/poc_information/issues/1"
},
{
"type": "WEB",
"url": "https://github.com/caiteli/poc_information/blob/main/southsoft_GMIS.txt"
}
],
"schema_version": "1.4.0",
"severity": []
}
Loading…
Loading…
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.
Loading…
Loading…