GSD-2016-4861
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
The (1) order and (2) group methods in Zend_Db_Select in the Zend Framework before 1.12.20 might allow remote attackers to conduct SQL injection attacks by leveraging failure to remove comments from an SQL statement before validation.
Aliases
Aliases
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"alias": "CVE-2016-4861",
"description": "The (1) order and (2) group methods in Zend_Db_Select in the Zend Framework before 1.12.20 might allow remote attackers to conduct SQL injection attacks by leveraging failure to remove comments from an SQL statement before validation.",
"id": "GSD-2016-4861",
"references": [
"https://advisories.mageia.org/CVE-2016-4861.html",
"https://alas.aws.amazon.com/cve/html/CVE-2016-4861.html"
]
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"gsd": {
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"remediation": "unknown",
"reportConfidence": "confirmed",
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"id": "GSD-2016-4861",
"modified": "2023-12-13T01:21:18.450767Z",
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"cwe_ids": [
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"CWE-89",
"CWE-937"
],
"date": "2023-07-28",
"description": "The (1) order and (2) group methods in Zend_Db_Select in the Zend Framework before 1.12.20 might allow remote attackers to conduct SQL injection attacks by leveraging failure to remove comments from an SQL statement before validation.",
"fixed_versions": [
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"identifier": "CVE-2016-4861",
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"not_impacted": "All versions starting from 1.12.20",
"package_slug": "packagist/zendframework/zendframework",
"pubdate": "2022-05-14",
"solution": "Upgrade to version 1.12.20 or above.",
"title": "Improper Neutralization of Special Elements used in an SQL Command (\u0027SQL Injection\u0027)",
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"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
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"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
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"severity": "HIGH",
"userInteractionRequired": false
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"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
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},
"lastModifiedDate": "2018-10-21T10:29Z",
"publishedDate": "2017-02-17T02:59Z"
}
}
}
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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.
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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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