GSD-2023-42810
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
systeminformation is a System Information Library for Node.JS. Versions 5.0.0 through 5.21.6 have a SSID Command Injection Vulnerability. The problem was fixed with a parameter check in version 5.21.7. As a workaround, check or sanitize parameter strings that are passed to `wifiConnections()`, `wifiNetworks()` (string only).
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-42810",
"id": "GSD-2023-42810"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2023-42810"
],
"details": "systeminformation is a System Information Library for Node.JS. Versions 5.0.0 through 5.21.6 have a SSID Command Injection Vulnerability. The problem was fixed with a parameter check in version 5.21.7. As a workaround, check or sanitize parameter strings that are passed to `wifiConnections()`, `wifiNetworks()` (string only).",
"id": "GSD-2023-42810",
"modified": "2023-12-13T01:20:21.521616Z",
"schema_version": "1.4.0"
}
},
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"version_value": "\u003e= 5.0.0, \u003c 5.21.7"
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}
]
},
"impact": {
"cvss": [
{
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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}
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"name": "https://github.com/sebhildebrandt/systeminformation/security/advisories/GHSA-gx6r-qc2v-3p3v",
"refsource": "MISC",
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"advisory": "GHSA-gx6r-qc2v-3p3v",
"discovery": "UNKNOWN"
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"cpe23Uri": "cpe:2.3:a:systeminformation:systeminformation:*:*:*:*:*:node.js:*:*",
"cpe_name": [],
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"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
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"exploitabilityScore": 3.9,
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},
"lastModifiedDate": "2023-09-23T03:38Z",
"publishedDate": "2023-09-21T18:15Z"
}
}
}
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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.
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- 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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