CVE-2023-32728 (GCVE-0-2023-32728)
Vulnerability from cvelistv5 – Published: 2023-12-18 09:19 – Updated: 2024-11-27 20:43
VLAI
EPSS
VEX
Title
Code injection in zabbix_agent2 smart.disk.get caused by smartctl plugin
Summary
The Zabbix Agent 2 item key smart.disk.get does not sanitize its parameters before passing them to a shell command resulting possible vulnerability for remote code execution.
Severity
4.6 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-11-27 20:43 UTC
CWE
- CWE-20 - Improper Input Validation
Assigner
References
1 reference
Impacted products
Date Public
2023-11-06 13:14
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"capecId": "CAPEC-253",
"descriptions": [
{
"lang": "en",
"value": "CAPEC-253 Remote Code Inclusion"
}
]
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 4.6,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:L/I:L/A:L",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-20",
"description": "CWE-20 Improper Input Validation",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2023-12-18T09:19:51.507Z",
"orgId": "72de3e22-0555-4a0d-ae81-9249e0f0a1e8",
"shortName": "Zabbix"
},
"references": [
{
"url": "https://support.zabbix.com/browse/ZBX-23858"
}
],
"source": {
"discovery": "EXTERNAL"
},
"title": "Code injection in zabbix_agent2 smart.disk.get caused by smartctl plugin",
"x_generator": {
"engine": "Vulnogram 0.1.0-dev"
}
}
},
"cveMetadata": {
"assignerOrgId": "72de3e22-0555-4a0d-ae81-9249e0f0a1e8",
"assignerShortName": "Zabbix",
"cveId": "CVE-2023-32728",
"datePublished": "2023-12-18T09:19:51.507Z",
"dateReserved": "2023-05-11T21:25:43.368Z",
"dateUpdated": "2024-11-27T20:43:26.283Z",
"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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