GSD-2017-5803
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
A Remote Disclosure of Information vulnerability in HPE NonStop Servers using SSH Service version L series: T0801L02 through T0801L02^ABX; J and H series: T0801H01 through T0801H01^ACA was found.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2017-5803",
"description": "A Remote Disclosure of Information vulnerability in HPE NonStop Servers using SSH Service version L series: T0801L02 through T0801L02^ABX; J and H series: T0801H01 through T0801H01^ACA was found.",
"id": "GSD-2017-5803"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"id": "GSD-2017-5803",
"modified": "2023-12-13T01:21:13.510615Z",
"schema_version": "1.4.0"
}
},
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"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
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"product_name": "NonStop Servers using SSH Service",
"version": {
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"name": "https://support.hpe.com/hpsc/doc/public/display?docId=emr_na-hpesbns03735en_us",
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"cpe_name": [],
"versionEndIncluding": "t0801h01\\^aca",
"versionStartIncluding": "t0801h01",
"vulnerable": true
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 7.8,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:C/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.0"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6
}
},
"lastModifiedDate": "2019-11-19T15:15Z",
"publishedDate": "2018-02-15T22:29Z"
}
}
}
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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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