GSD-2022-48580
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
A command injection vulnerability exists in the ARP ping device tool feature of the ScienceLogic SL1 that takes unsanitized user controlled input and passes it directly to a shell command. This allows for the injection of arbitrary commands to the underlying operating system.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-48580",
"id": "GSD-2022-48580"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "A command injection vulnerability exists in the ARP ping device tool feature of the ScienceLogic SL1 that takes unsanitized user controlled input and passes it directly to a shell command. This allows for\u00a0the injection of arbitrary commands to the underlying operating system.",
"id": "GSD-2022-48580",
"modified": "2023-12-13T01:19:26.086587Z",
"schema_version": "1.4.0"
}
},
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"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "SL 1",
"version": {
"version_data": [
{
"version_value": "not down converted",
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"version": "11.1.2"
}
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}
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]
}
}
]
},
"vendor_name": "ScienceLogic"
}
]
}
},
"credits": [
{
"lang": "en",
"value": "Christian Weiler"
}
],
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"data_version": "4.0",
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}
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},
"impact": {
"cvss": [
{
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
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"value": "CWE-78 Improper Neutralization of Special Elements used in an OS Command"
}
]
}
]
},
"references": {
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{
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"refsource": "MISC",
"url": "https://www.securifera.com/advisories/cve-2022-48580/"
}
]
},
"source": {
"discovery": "EXTERNAL"
}
},
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"nodes": [
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"cpe_match": [
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"cpe_name": [],
"versionEndIncluding": "11.1.2",
"vulnerable": true
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"description": {
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"tags": [
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"impact": {
"baseMetricV3": {
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"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
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"confidentialityImpact": "HIGH",
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
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"exploitabilityScore": 2.8,
"impactScore": 5.9
}
},
"lastModifiedDate": "2023-08-11T17:39Z",
"publishedDate": "2023-08-09T18:15Z"
}
}
}
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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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