GSD-2022-41828
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
In Amazon AWS Redshift JDBC Driver (aka amazon-redshift-jdbc-driver or redshift-jdbc42) before 2.1.0.8, the Object Factory does not check the class type when instantiating an object from a class name.
Aliases
Aliases
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"id": "GSD-2022-41828"
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"remediation": "unknown",
"reportConfidence": "confirmed",
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"id": "GSD-2022-41828",
"modified": "2023-12-13T01:19:32.959995Z",
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"cvss_v3": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-704",
"CWE-937"
],
"date": "2022-11-07",
"description": "In Amazon AWS Redshift JDBC Driver (aka amazon-redshift-jdbc-driver or redshift-jdbc42) before 2.1.0.8, the Object Factory does not check the class type when instantiating an object from a class name.",
"fixed_versions": [
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"not_impacted": "",
"package_slug": "maven/com.amazon.redshift/redshift-jdbc42",
"pubdate": "2022-09-29",
"solution": "Upgrade to version 2.1.0.8 or above.",
"title": "AWS Redshift JDBC Driver fails to validate class type during object instantiation",
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"baseScore": 8.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
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"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
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"exploitabilityScore": 2.2,
"impactScore": 5.9
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"lastModifiedDate": "2022-11-07T16:49Z",
"publishedDate": "2022-09-29T21:15Z"
}
}
}
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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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