CVE-2022-23089 (GCVE-0-2022-23089)
Vulnerability from cvelistv5 – Published: 2024-02-15 05:07 – Updated: 2025-03-13 21:52
VLAI
EPSS
VEX
Title
Out of bound read in elf_note_prpsinfo()
Summary
When dumping core and saving process information, proc_getargv() might return an sbuf which have a sbuf_len() of 0 or -1, which is not properly handled.
An out-of-bound read can happen when user constructs a specially crafted ps_string, which in turn can cause the kernel to crash.
Severity
4.7 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-02-15 20:01 UTC
CWE
- CWE-125 - Out-of-bounds Read
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://security.freebsd.org/advisories/FreeBSD-S… | vendor-advisory |
| https://security.netapp.com/advisory/ntap-2024041… |
Impacted products
Date Public
2022-08-09 23:00
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"value": "When dumping core and saving process information, proc_getargv() might return an sbuf which have a sbuf_len() of 0 or -1, which is not properly handled.\n\nAn out-of-bound read can happen when user constructs a specially crafted ps_string, which in turn can cause the kernel to crash."
}
],
"providerMetadata": {
"dateUpdated": "2024-04-15T15:06:02.564Z",
"orgId": "63664ac6-956c-4cba-a5d0-f46076e16109",
"shortName": "freebsd"
},
"references": [
{
"tags": [
"vendor-advisory"
],
"url": "https://security.freebsd.org/advisories/FreeBSD-SA-22:09.elf.asc"
},
{
"url": "https://security.netapp.com/advisory/ntap-20240415-0006/"
}
],
"source": {
"discovery": "UNKNOWN"
},
"title": "Out of bound read in elf_note_prpsinfo()",
"x_generator": {
"engine": "Vulnogram 0.1.0-dev"
}
}
},
"cveMetadata": {
"assignerOrgId": "63664ac6-956c-4cba-a5d0-f46076e16109",
"assignerShortName": "freebsd",
"cveId": "CVE-2022-23089",
"datePublished": "2024-02-15T05:07:13.996Z",
"dateReserved": "2022-01-10T22:07:46.041Z",
"dateUpdated": "2025-03-13T21:52:54.797Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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