GSD-2016-0767
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
PostgreSQL PL/Java before 1.5.0 allows remote authenticated users with USAGE permission on the public schema to alter the public schema classpath.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2016-0767",
"description": "PostgreSQL PL/Java before 1.5.0 allows remote authenticated users with USAGE permission on the public schema to alter the public schema classpath.",
"id": "GSD-2016-0767"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2016-0767"
],
"details": "PostgreSQL PL/Java before 1.5.0 allows remote authenticated users with USAGE permission on the public schema to alter the public schema classpath.",
"id": "GSD-2016-0767",
"modified": "2023-12-13T01:21:17.984506Z",
"schema_version": "1.4.0"
}
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},
"gitlab.com": {
"advisories": [
{
"affected_range": "(,1.5.0)",
"affected_versions": "All versions before 1.5.0",
"cvss_v2": "AV:N/AC:L/Au:S/C:N/I:P/A:N",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N",
"cwe_ids": [
"CWE-1035",
"CWE-269",
"CWE-937"
],
"date": "2023-07-28",
"description": "PostgreSQL PL/Java before 1.5.0 allows remote authenticated users with USAGE permission on the public schema to alter the public schema classpath.",
"fixed_versions": [
"1.5.0"
],
"identifier": "CVE-2016-0767",
"identifiers": [
"GHSA-837x-xww6-7jqm",
"CVE-2016-0767"
],
"not_impacted": "All versions starting from 1.5.0",
"package_slug": "maven/postgresql/pljava-public",
"pubdate": "2022-05-13",
"solution": "Upgrade to version 1.5.0 or above.",
"title": "Improper Privilege Management",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2016-0767",
"https://tada.github.io/pljava/releasenotes-pre1_6.html#PL.2FJava_1.5.0_.2829_March_2016.29",
"https://github.com/advisories/GHSA-837x-xww6-7jqm"
],
"uuid": "6a33edc0-b5c6-4d08-804d-201af06f04c9"
}
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"cpe_name": [],
"versionEndIncluding": "1.4.3",
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}
},
"impact": {
"baseMetricV2": {
"acInsufInfo": true,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 4.0,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:S/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2021-09-09T17:29Z",
"publishedDate": "2017-06-06T18:29Z"
}
}
}
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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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