GSD-2015-1426
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Puppet Labs Facter 1.6.0 through 2.4.0 allows local users to obtains sensitive Amazon EC2 IAM instance metadata by reading a fact for an Amazon EC2 node.
Aliases
Aliases
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"references": [
"https://www.suse.com/security/cve/CVE-2015-1426.html"
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"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
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"modified": "2023-12-13T01:20:04.948860Z",
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{
"affected_range": "\u003e=1.6.0 \u003c2.4.1",
"affected_versions": "All versions starting from 1.6.0 before 2.4.1",
"cvss_v2": "AV:L/AC:L/Au:N/C:P/I:N/A:N",
"cwe_ids": [
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"not_impacted": "All versions before 1.6.0, all versions starting from 2.4.1",
"package_slug": "gem/facter",
"pubdate": "2022-05-14",
"solution": "Upgrade to version 2.4.1 or above.",
"title": "Exposure of Sensitive Information to an Unauthorized Actor",
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"https://github.com/rubysec/ruby-advisory-db/blob/master/gems/facter/CVE-2015-1426.yml",
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"impact": {
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"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 2.1,
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"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
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"impactScore": 2.9,
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"obtainOtherPrivilege": false,
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"severity": "LOW",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2019-07-11T13:00Z",
"publishedDate": "2015-02-23T17:59Z"
}
}
}
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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
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- 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.
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- 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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