GSD-2022-35639
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
IBM Sterling Partner Engagement Manager 6.1, 6.2, and Cloud 22.2 do not limit the length of a connection which could cause the server to become unresponsive. IBM X-Force ID: 230932.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-35639",
"description": "IBM Sterling Partner Engagement Manager 6.1, 6.2, and Cloud 22.2 do not limit the length of a connection which could cause the server to become unresponsive. IBM X-Force ID: 230932.",
"id": "GSD-2022-35639"
},
"gsd": {
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"remediation": "unknown",
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"attackVector": "NETWORK",
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"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
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},
"lastModifiedDate": "2022-08-02T19:06Z",
"publishedDate": "2022-07-26T15:15Z"
}
}
}
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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 |
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Nomenclature
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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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