GHSA-FF28-F46G-R9G8
Vulnerability from github – Published: 2022-05-24 20:48 – Updated: 2022-05-24 20:48
VLAI
Summary
Cross-site Scripting in Gogs
Details
Impact
The malicious user is able to upload a crafted SVG file as the issue attachment to archive XSS. All installations allow uploading SVG (text/xml) files as issue attachments (non-default) are affected.
Patches
Correctly setting the Content Security Policy for the serving endpoint. Users should upgrade to 0.12.7 or the latest 0.13.0+dev.
Workarounds
Disable uploading SVG files (text/xml) as issue attachments.
References
https://huntr.dev/bounties/34a12146-3a5d-4efc-a0f8-7a3ae04b198d/
For more information
If you have any questions or comments about this advisory, please post on https://github.com/gogs/gogs/issues/6919.
Severity
5.4 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "Go",
"name": "gogs.io/gogs"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.12.7"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2022-1464"
],
"database_specific": {
"cwe_ids": [
"CWE-79"
],
"github_reviewed": true,
"github_reviewed_at": "2022-05-24T20:48:14Z",
"nvd_published_at": "2022-05-05T14:15:00Z",
"severity": "MODERATE"
},
"details": "### Impact\n\nThe malicious user is able to upload a crafted SVG file as the issue attachment to archive XSS. All installations [allow uploading SVG (`text/xml`) files as issue attachments (non-default)](https://github.com/gogs/gogs/blob/e51e01683408e10b3dcd2ace65e259ca7f0fd61b/conf/app.ini#L283-L284) are affected.\n\n### Patches\n\nCorrectly setting the Content Security Policy for the serving endpoint. Users should upgrade to 0.12.7 or the latest 0.13.0+dev.\n\n### Workarounds\n\n[Disable uploading SVG files (`text/xml`) as issue attachments](https://github.com/gogs/gogs/blob/e51e01683408e10b3dcd2ace65e259ca7f0fd61b/conf/app.ini#L283-L284).\n\n### References\n\nhttps://huntr.dev/bounties/34a12146-3a5d-4efc-a0f8-7a3ae04b198d/\n\n### For more information\n\nIf you have any questions or comments about this advisory, please post on https://github.com/gogs/gogs/issues/6919.\n",
"id": "GHSA-ff28-f46g-r9g8",
"modified": "2022-05-24T20:48:14Z",
"published": "2022-05-24T20:48:14Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/gogs/gogs/security/advisories/GHSA-ff28-f46g-r9g8"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-1464"
},
{
"type": "WEB",
"url": "https://github.com/gogs/gogs/commit/bc77440b301ac8780698be91dff1ac33b7cee850"
},
{
"type": "PACKAGE",
"url": "https://github.com/gogs/gogs"
},
{
"type": "WEB",
"url": "https://huntr.dev/bounties/34a12146-3a5d-4efc-a0f8-7a3ae04b198d"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
"type": "CVSS_V3"
}
],
"summary": "Cross-site Scripting in Gogs"
}
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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.
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