GSD-2019-5475
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
The Nexus Yum Repository Plugin in v2 is vulnerable to Remote Code Execution when instances using CommandLineExecutor.java are supplied vulnerable data, such as the Yum Configuration Capability.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-5475",
"description": "The Nexus Yum Repository Plugin in v2 is vulnerable to Remote Code Execution when instances using CommandLineExecutor.java are supplied vulnerable data, such as the Yum Configuration Capability.",
"id": "GSD-2019-5475"
},
"gsd": {
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"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"id": "GSD-2019-5475",
"modified": "2023-12-13T01:23:56.378463Z",
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"gitlab.com": {
"advisories": [
{
"affected_range": "[2.0,2.14.9-01]",
"affected_versions": "All versions starting from 2.0 up to 2.14.9-01",
"credit": "Christian August Holm Hansen at Binary Security AS",
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"cwe_ids": [
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"CWE-78",
"CWE-937"
],
"date": "2019-10-09",
"description": "The Nexus Yum Repository Plugin is vulnerable to Remote Code Execution when instances using `CommandLineExecutor.java` are supplied vulnerable data, such as the Yum Configuration Capability.",
"fixed_versions": [
"2.14.10-01"
],
"identifier": "CVE-2019-5475",
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"not_impacted": "All versions before 2.0, all versions after 2.14.9-01",
"package_slug": "maven/org.sonatype.nexus.plugins/nexus-yum-repository-plugin",
"pubdate": "2019-09-03",
"solution": "Upgrade to version 2.14.10-01 or above.",
"title": "Remote Code Execution",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2019-5475",
"https://support.sonatype.com/hc/en-us/articles/360033490774-CVE-2019-5475-Nexus-Repository-Manager-2-Remote-Code-Execution-2019-08-09"
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "COMPLETE",
"baseScore": 9.0,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:N/AC:L/Au:S/C:C/I:C/A:C",
"version": "2.0"
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"exploitabilityScore": 8.0,
"impactScore": 10.0,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
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"baseScore": 8.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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"version": "3.0"
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"exploitabilityScore": 2.8,
"impactScore": 5.9
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},
"lastModifiedDate": "2019-10-09T23:50Z",
"publishedDate": "2019-09-03T20:15Z"
}
}
}
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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 |
|---|
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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