GHSA-GFF3-739C-GXFQ
Vulnerability from github – Published: 2021-06-10 17:22 – Updated: 2024-09-16 15:03Duplicate Advisory
This advisory has been withdrawn because it is a duplicate of GHSA-xw7c-jx9m-xh5g. This link is maintained to preserve external references.
Original Description
Datasette is an open source multi-tool for exploring and publishing data. The ?_trace=1 debugging feature in Datasette does not correctly escape generated HTML, resulting in a reflected cross-site scripting vulnerability. This vulnerability is particularly relevant if your Datasette installation includes authenticated features using plugins such as datasette-auth-passwords as an attacker could use the vulnerability to access protected data. Datasette 0.57 and 0.56.1 both include patches for this issue. If you run Datasette behind a proxy you can workaround this issue by rejecting any incoming requests with ?_trace= or &_trace= in their query string parameters.
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "datasette"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.56.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [],
"database_specific": {
"cwe_ids": [
"CWE-79"
],
"github_reviewed": true,
"github_reviewed_at": "2021-06-09T20:39:24Z",
"nvd_published_at": "2021-06-07T22:15:00Z",
"severity": "HIGH"
},
"details": "## Duplicate Advisory\nThis advisory has been withdrawn because it is a duplicate of GHSA-xw7c-jx9m-xh5g. This link is maintained to preserve external references.\n\n## Original Description\nDatasette is an open source multi-tool for exploring and publishing data. The `?_trace=1` debugging feature in Datasette does not correctly escape generated HTML, resulting in a [reflected cross-site scripting](https://owasp.org/www-community/attacks/xss/#reflected-xss-attacks) vulnerability. This vulnerability is particularly relevant if your Datasette installation includes authenticated features using plugins such as [datasette-auth-passwords](https://datasette.io/plugins/datasette-auth-passwords) as an attacker could use the vulnerability to access protected data. Datasette 0.57 and 0.56.1 both include patches for this issue. If you run Datasette behind a proxy you can workaround this issue by rejecting any incoming requests with `?_trace=` or `\u0026_trace=` in their query string parameters.",
"id": "GHSA-gff3-739c-gxfq",
"modified": "2024-09-16T15:03:13Z",
"published": "2021-06-10T17:22:59Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/simonw/datasette/security/advisories/GHSA-xw7c-jx9m-xh5g"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-32670"
},
{
"type": "WEB",
"url": "https://github.com/simonw/datasette/issues/1360"
},
{
"type": "WEB",
"url": "https://datasette.io/plugins/datasette-auth-passwords"
},
{
"type": "WEB",
"url": "https://owasp.org/www-community/attacks/xss/#reflected-xss-attacks"
},
{
"type": "WEB",
"url": "https://pypi.org/project/datasette"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:L/A:N",
"type": "CVSS_V3"
}
],
"summary": "Duplicate Advisory: Reflected cross-site scripting issue in Datasette",
"withdrawn": "2024-09-16T15:02:24Z"
}
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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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.