GSD-2018-0359
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
A vulnerability in the session identification management functionality of the web-based management interface for Cisco Meeting Server could allow an unauthenticated, local attacker to hijack a valid user session identifier, aka Session Fixation. The vulnerability exists because the affected application does not assign a new session identifier to a user session when a user authenticates to the application. An attacker could exploit this vulnerability by using a hijacked session identifier to connect to the application through the web-based management interface. A successful exploit could allow the attacker to hijack an authenticated user's browser session. Cisco Bug IDs: CSCvi23787.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-0359",
"description": "A vulnerability in the session identification management functionality of the web-based management interface for Cisco Meeting Server could allow an unauthenticated, local attacker to hijack a valid user session identifier, aka Session Fixation. The vulnerability exists because the affected application does not assign a new session identifier to a user session when a user authenticates to the application. An attacker could exploit this vulnerability by using a hijacked session identifier to connect to the application through the web-based management interface. A successful exploit could allow the attacker to hijack an authenticated user\u0027s browser session. Cisco Bug IDs: CSCvi23787.",
"id": "GSD-2018-0359"
},
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"modified": "2023-12-13T01:22:24.993243Z",
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"lastModifiedDate": "2019-10-09T23:31Z",
"publishedDate": "2018-06-21T11:29Z"
}
}
}
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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 |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
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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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