GSD-2018-8269
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
A denial of service vulnerability exists when OData Library improperly handles web requests, aka "OData Denial of Service Vulnerability." This affects Microsoft.Data.OData.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-8269",
"description": "A denial of service vulnerability exists when OData Library improperly handles web requests, aka \"OData Denial of Service Vulnerability.\" This affects Microsoft.Data.OData.",
"id": "GSD-2018-8269",
"references": [
"https://packetstormsecurity.com/files/cve/CVE-2018-8269"
]
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"modified": "2023-12-13T01:22:34.228561Z",
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"description": "A denial of service vulnerability exists when OData Library improperly handles web requests, aka \"OData Denial of Service Vulnerability.\" This affects Microsoft.Data.OData.",
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"package_slug": "nuget/Microsoft.AspNetCore.All",
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"solution": "Upgrade to versions 2.1.13, 2.2.7 or above.",
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"date": "2023-08-23",
"description": "A denial of service vulnerability exists when OData Library improperly handles web requests, aka \"OData Denial of Service Vulnerability.\" This affects Microsoft.Data.OData.",
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"package_slug": "nuget/Microsoft.Data.OData",
"pubdate": "2018-09-13",
"solution": "Upgrade to version 5.8.4 or above.",
"title": "Uncontrolled Resource Consumption",
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"https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2018-8269",
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"impact": {
"baseMetricV2": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
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},
"exploitabilityScore": 10.0,
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"obtainAllPrivilege": false,
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"severity": "MEDIUM",
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"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
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"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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}
},
"lastModifiedDate": "2019-10-03T00:03Z",
"publishedDate": "2018-09-13T00:29Z"
}
}
}
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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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