GHSA-23C7-6444-399M
Vulnerability from github – Published: 2021-04-09 15:42 – Updated: 2024-10-25 21:10Impact
On some IRC servers, restrictions around the removal of the bot using the kick/kickban command could be bypassed when kicking multiple users at once. We also believe it may have been possible to remove users from other channels but due to the wonder that is IRC and following RfCs, We have no POC for that.
Freenode is not affected.
Patches
Upgrade to 2.0.1 or higher
Workarounds
Do not use this plugin on networks where TARGMAX > 1.
For more information
If you have any questions or comments about this advisory: * Open an issue on phab. * Email us at staff(at)mirahezebots(dot)org
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "sopel-plugins.channelmgnt"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.0.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2021-21431"
],
"database_specific": {
"cwe_ids": [
"CWE-20",
"CWE-284"
],
"github_reviewed": true,
"github_reviewed_at": "2021-04-09T15:42:18Z",
"nvd_published_at": "2021-04-09T16:15:00Z",
"severity": "HIGH"
},
"details": "### Impact\nOn some IRC servers, restrictions around the removal of the bot using the kick/kickban command could be bypassed when kicking multiple users at once.\nWe also believe it may have been possible to remove users from other channels but due to the wonder that is IRC and following RfCs, We have no POC for that.\n\nFreenode is not affected.\n\n### Patches\nUpgrade to 2.0.1 or higher\n\n### Workarounds\nDo not use this plugin on networks where TARGMAX \u003e 1.\n\n### For more information\nIf you have any questions or comments about this advisory:\n* Open an issue on [phab](https://phab.mirahezebots.org/maniphest/task/edit/form/1/).\n* Email us at [staff(at)mirahezebots(dot)org](mailto:staff@mirahezebots.org)",
"id": "GHSA-23c7-6444-399m",
"modified": "2024-10-25T21:10:48Z",
"published": "2021-04-09T15:42:40Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/MirahezeBots/sopel-channelmgnt/security/advisories/GHSA-23c7-6444-399m"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-21431"
},
{
"type": "WEB",
"url": "https://github.com/MirahezeBots/sopel-channelmgnt/commit/643388365f28c5cc682254ab913c401f0e53260a"
},
{
"type": "WEB",
"url": "https://github.com/MirahezeBots/sopel-channelmgnt/commit/7c96d400358221e59135f0a0be0744f3fad73856"
},
{
"type": "PACKAGE",
"url": "https://github.com/MirahezeBots/sopel-channelmgnt"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/sopel-plugins-channelmgnt/PYSEC-2021-58.yaml"
},
{
"type": "WEB",
"url": "https://pypi.org/project/sopel-plugins.channelmgnt"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:A/AC:L/PR:H/UI:R/S:C/C:N/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "Improper Input Validation in sopel-plugins.channelmgnt"
}
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.