GSD-2006-4112
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Unspecified vulnerability in the "dependency resolution mechanism" in Ruby on Rails 1.1.0 through 1.1.5 allows remote attackers to execute arbitrary Ruby code via a URL that is not properly handled in the routing code, which leads to a denial of service (application hang) or "data loss," a different vulnerability than CVE-2006-4111.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2006-4112",
"description": "Unspecified vulnerability in the \"dependency resolution mechanism\" in Ruby on Rails 1.1.0 through 1.1.5 allows remote attackers to execute arbitrary Ruby code via a URL that is not properly handled in the routing code, which leads to a denial of service (application hang) or \"data loss,\" a different vulnerability than CVE-2006-4111.",
"id": "GSD-2006-4112",
"references": [
"https://www.suse.com/security/cve/CVE-2006-4112.html"
]
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"id": "GSD-2006-4112",
"modified": "2023-12-13T01:19:51.680632Z",
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"cwe_ids": [
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"CWE-78",
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],
"date": "2021-12-01",
"description": "Unspecified vulnerability in the \"dependency resolution mechanism\" in Ruby on Rails 1.1.0 through 1.1.5 allows remote attackers to execute arbitrary Ruby code via a URL that is not properly handled in the routing code, which leads to a denial of service (application hang) or \"data loss,\" a different vulnerability than CVE-2006-4111.",
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"package_slug": "gem/rails",
"pubdate": "2017-10-24",
"solution": "Upgrade to version 1.1.6 or above.",
"title": "Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027)",
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"impact": {
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"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": true,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2019-08-08T14:38Z",
"publishedDate": "2006-08-14T21:04Z"
}
}
}
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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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