GHSA-FXJG-28FM-PFXH
Vulnerability from github – Published: 2023-07-06 19:24 – Updated: 2025-02-13 18:54
VLAI
Summary
Apache Superset Server-Side Request Forgery vulnerability
Details
A malicious actor who has been authenticated and granted specific permissions in Apache Superset may use the import dataset feature in order to conduct Server-Side Request Forgery attacks and query internal resources on behalf of the server where Superset is deployed. This vulnerability exists in Apache Superset versions up to and including 2.0.1.
Severity
6.5 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "apache-superset"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.1.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2023-25504"
],
"database_specific": {
"cwe_ids": [
"CWE-918"
],
"github_reviewed": true,
"github_reviewed_at": "2023-07-06T22:10:49Z",
"nvd_published_at": "2023-04-17T17:15:00Z",
"severity": "MODERATE"
},
"details": "A malicious actor who has been authenticated and granted specific permissions in Apache Superset may use the import dataset feature in order to conduct Server-Side Request Forgery attacks and query internal resources on behalf of the server where Superset is deployed. This vulnerability exists\u00a0in Apache Superset versions up to and including 2.0.1.",
"id": "GHSA-fxjg-28fm-pfxh",
"modified": "2025-02-13T18:54:17Z",
"published": "2023-07-06T19:24:15Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-25504"
},
{
"type": "PACKAGE",
"url": "https://github.com/apache/superset"
},
{
"type": "WEB",
"url": "https://lists.apache.org/thread/tdnzkocfsqg2sbbornnp9g492fn4zhtx"
},
{
"type": "WEB",
"url": "http://www.openwall.com/lists/oss-security/2023/04/18/8"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"type": "CVSS_V3"
}
],
"summary": "Apache Superset Server-Side Request Forgery vulnerability"
}
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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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