GSD-2016-8802
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
The security policy processing module in Huawei Secospace USG6300 with software V500R001C20SPC100, V500R001C20SPC101, V500R001C20SPC200; Secospace USG6500 with software V500R001C20SPC100, V500R001C20SPC101, V500R001C20SPC200; Secospace USG6600 with software V500R001C20SPC100, V500R001C20SPC101, V500R001C20SPC200 allows authenticated attackers to setup a specific security policy into the devices, causing a buffer overflow and crashing the system.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2016-8802",
"description": "The security policy processing module in Huawei Secospace USG6300 with software V500R001C20SPC100, V500R001C20SPC101, V500R001C20SPC200; Secospace USG6500 with software V500R001C20SPC100, V500R001C20SPC101, V500R001C20SPC200; Secospace USG6600 with software V500R001C20SPC100, V500R001C20SPC101, V500R001C20SPC200 allows authenticated attackers to setup a specific security policy into the devices, causing a buffer overflow and crashing the system.",
"id": "GSD-2016-8802"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"id": "GSD-2016-8802",
"modified": "2023-12-13T01:21:22.336196Z",
"schema_version": "1.4.0"
}
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"impact": {
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"cvssV2": {
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"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "COMPLETE",
"baseScore": 6.8,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:S/C:N/I:N/A:C",
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"exploitabilityScore": 8.0,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
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"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
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},
"lastModifiedDate": "2017-04-05T19:52Z",
"publishedDate": "2017-04-02T20:59Z"
}
}
}
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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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