GHSA-H7VQ-5QGW-JWWQ
Vulnerability from github – Published: 2021-10-18 19:04 – Updated: 2021-10-18 19:11Impact
In some circumstances, it was possible to export data in CSV format that could trigger a payload in old versions of Excel.
If you are accepting user input from untrusted sources and will be exporting that data in CSV format from element index pages and there is a chance users will open that on old versions of Excel, then you should update.
Patches
This has been patched in Craft 3.7.14.
References
- https://github.com/craftcms/cms/blob/develop/CHANGELOG.md#3714---2021-09-28
- https://twitter.com/craftcmsupdates/status/1442928690145366018
For more information
If you have any questions or comments about this advisory, email us at support@craftcms.com
Credits: BAE Systems AI Vulnerability Research Team – Azrul Ikhwan Zulkifli
{
"affected": [
{
"package": {
"ecosystem": "Packagist",
"name": "craftcms/cms"
},
"ranges": [
{
"events": [
{
"introduced": "3.4.0"
},
{
"fixed": "3.7.14"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2021-41824"
],
"database_specific": {
"cwe_ids": [
"CWE-1236"
],
"github_reviewed": true,
"github_reviewed_at": "2021-10-15T17:36:16Z",
"nvd_published_at": "2021-09-30T00:15:00Z",
"severity": "HIGH"
},
"details": "### Impact\nIn some circumstances, it was possible to export data in CSV format that could trigger a payload in old versions of Excel.\n\nIf you are accepting user input from untrusted sources and will be exporting that data in CSV format from element index pages and there is a chance users will open that on old versions of Excel, then you should update.\n\n### Patches\nThis has been patched in Craft 3.7.14.\n\n### References\n* https://github.com/craftcms/cms/blob/develop/CHANGELOG.md#3714---2021-09-28\n* https://twitter.com/craftcmsupdates/status/1442928690145366018\n\n### For more information\n\nIf you have any questions or comments about this advisory, email us at support@craftcms.com\n\n----------\n\nCredits: BAE Systems AI Vulnerability Research Team \u2013 Azrul Ikhwan Zulkifli",
"id": "GHSA-h7vq-5qgw-jwwq",
"modified": "2021-10-18T19:11:00Z",
"published": "2021-10-18T19:04:16Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/craftcms/cms/security/advisories/GHSA-h7vq-5qgw-jwwq"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-41824"
},
{
"type": "WEB",
"url": "https://github.com/craftcms/cms/commit/c9cb2225f1b908fb1e8401d401219228634b26b2"
},
{
"type": "PACKAGE",
"url": "https://github.com/craftcms/cms"
},
{
"type": "WEB",
"url": "https://github.com/craftcms/cms/blob/develop/CHANGELOG.md#3714---2021-09-28"
},
{
"type": "WEB",
"url": "https://twitter.com/craftcmsupdates/status/1442928690145366018"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "CSV Injection Vulnerability"
}
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.
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.
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.