GSD-2015-5969
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
The mysql-systemd-helper script in the mysql-community-server package before 5.6.28-2.17.1 in openSUSE 13.2 and before 5.6.28-13.1 in openSUSE Leap 42.1 and the mariadb package before 10.0.22-2.21.2 in openSUSE 13.2 and before 10.0.22-3.1 in SUSE Linux Enterprise (SLE) 12.1 and openSUSE Leap 42.1 allows local users to discover database credentials by listing a process and its arguments.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2015-5969",
"description": "The mysql-systemd-helper script in the mysql-community-server package before 5.6.28-2.17.1 in openSUSE 13.2 and before 5.6.28-13.1 in openSUSE Leap 42.1 and the mariadb package before 10.0.22-2.21.2 in openSUSE 13.2 and before 10.0.22-3.1 in SUSE Linux Enterprise (SLE) 12.1 and openSUSE Leap 42.1 allows local users to discover database credentials by listing a process and its arguments.",
"id": "GSD-2015-5969",
"references": [
"https://www.suse.com/security/cve/CVE-2015-5969.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2015-5969"
],
"details": "The mysql-systemd-helper script in the mysql-community-server package before 5.6.28-2.17.1 in openSUSE 13.2 and before 5.6.28-13.1 in openSUSE Leap 42.1 and the mariadb package before 10.0.22-2.21.2 in openSUSE 13.2 and before 10.0.22-3.1 in SUSE Linux Enterprise (SLE) 12.1 and openSUSE Leap 42.1 allows local users to discover database credentials by listing a process and its arguments.",
"id": "GSD-2015-5969",
"modified": "2023-12-13T01:20:06.640409Z",
"schema_version": "1.4.0"
}
},
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"STATE": "PUBLIC"
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"affects": {
"vendor": {
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{
"product": {
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{
"product_name": "n/a",
"version": {
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"version_value": "n/a"
}
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"url": "http://lists.opensuse.org/opensuse-security-announce/2016-02/msg00015.html"
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},
{
"name": "https://bugzilla.suse.com/957174",
"refsource": "CONFIRM",
"url": "https://bugzilla.suse.com/957174"
}
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},
"nvd.nist.gov": {
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"nodes": [
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{
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"operator": "OR"
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"cve": {
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"description": {
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}
]
}
},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 2.1,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "LOW"
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 6.2,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.0"
},
"exploitabilityScore": 2.5,
"impactScore": 3.6
}
},
"lastModifiedDate": "2018-10-30T16:27Z",
"publishedDate": "2016-04-08T15:59Z"
}
}
}
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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
- 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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