GSD-2022-29481
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
A leftover debug code vulnerability exists in the console nvram functionality of InHand Networks InRouter302 V3.5.45. A specially-crafted series of network requests can lead to disabling security features. An attacker can send a sequence of requests to trigger this vulnerability.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-29481",
"id": "GSD-2022-29481"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "A leftover debug code vulnerability exists in the console nvram functionality of InHand Networks InRouter302 V3.5.45. A specially-crafted series of network requests can lead to disabling security features. An attacker can send a sequence of requests to trigger this vulnerability.",
"id": "GSD-2022-29481",
"modified": "2023-12-13T01:19:41.792064Z",
"schema_version": "1.4.0"
}
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},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "InRouter302",
"version": {
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"version_affected": "=",
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}
]
}
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]
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}
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}
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},
"impact": {
"cvss": {
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"baseSeverity": "Medium",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:H/A:N",
"version": "3.0"
}
},
"problemtype": {
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"description": [
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"value": "CWE-489: Leftover Debug Code"
}
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{
"name": "https://inhandnetworks.com/upload/attachment/202210/25/InHand-PSA-2022-02.pdf",
"refsource": "CONFIRM",
"url": "https://inhandnetworks.com/upload/attachment/202210/25/InHand-PSA-2022-02.pdf"
},
{
"name": "https://talosintelligence.com/vulnerability_reports/TALOS-2022-1518",
"refsource": "MISC",
"url": "https://talosintelligence.com/vulnerability_reports/TALOS-2022-1518"
}
]
}
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
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"children": [
{
"children": [],
"cpe_match": [
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"cpe_name": [],
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"description": {
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"references": {
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},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2022-11-10T15:49Z",
"publishedDate": "2022-11-09T18:15Z"
}
}
}
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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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