GHSA-422F-2R32-F82H
Vulnerability from github – Published: 2025-09-16 18:31 – Updated: 2025-12-10 18:30In the Linux kernel, the following vulnerability has been resolved:
scsi: qla2xxx: Wait for io return on terminate rport
System crash due to use after free. Current code allows terminate_rport_io to exit before making sure all IOs has returned. For FCP-2 device, IO's can hang on in HW because driver has not tear down the session in FW at first sign of cable pull. When dev_loss_tmo timer pops, terminate_rport_io is called and upper layer is about to free various resources. Terminate_rport_io trigger qla to do the final cleanup, but the cleanup might not be fast enough where it leave qla still holding on to the same resource.
Wait for IO's to return to upper layer before resources are freed.
{
"affected": [],
"aliases": [
"CVE-2023-53322"
],
"database_specific": {
"cwe_ids": [
"CWE-416"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-09-16T17:15:38Z",
"severity": "HIGH"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nscsi: qla2xxx: Wait for io return on terminate rport\n\nSystem crash due to use after free.\nCurrent code allows terminate_rport_io to exit before making\nsure all IOs has returned. For FCP-2 device, IO\u0027s can hang\non in HW because driver has not tear down the session in FW at\nfirst sign of cable pull. When dev_loss_tmo timer pops,\nterminate_rport_io is called and upper layer is about to\nfree various resources. Terminate_rport_io trigger qla to do\nthe final cleanup, but the cleanup might not be fast enough where it\nleave qla still holding on to the same resource.\n\nWait for IO\u0027s to return to upper layer before resources are freed.",
"id": "GHSA-422f-2r32-f82h",
"modified": "2025-12-10T18:30:21Z",
"published": "2025-09-16T18:31:27Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-53322"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/079c8264ed9fea8cbcac01ad29040f901cbc3692"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/4647d2e88918a078359d1532d90c417a38542c9e"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/5bcdaafd92be6035ddc77fa76650cf9dd5b864c4"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/8a55556cd7e0220486163b1285ce11a8be2ce5fa"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/90770dad1eb30967ebd8d37d82830bcf270b3293"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/a9fe97fb7b4ee21bffb76f2acb05769bad27ae70"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/d25fded78d88e1515439b3ba581684d683e0b6ab"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/fc0cba0c7be8261a1625098bd1d695077ec621c9"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
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.