CVE-2023-36420 (GCVE-0-2023-36420)
Vulnerability from cvelistv5 – Published: 2023-10-10 17:08 – Updated: 2025-04-14 22:46
VLAI
EPSS
VEX
Title
Microsoft ODBC Driver for SQL Server Remote Code Execution Vulnerability
Summary
Microsoft ODBC Driver for SQL Server Remote Code Execution Vulnerability
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-26 21:49 UTC
CWE
- CWE-415 - Double Free
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://msrc.microsoft.com/update-guide/vulnerabi… | vendor-advisory |
Impacted products
10 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Microsoft | Microsoft SQL Server 2019 (GDR) |
Affected:
15.0.0 , < 15.0.2104.1
(custom)
|
guessed | |
| Microsoft | Microsoft SQL Server 2022 (GDR) |
Affected:
16.0.0 , < 16.0.1105.1
(custom)
|
guessed | |
| Microsoft | Microsoft ODBC Driver 17 for SQL Server on Windows |
Affected:
17.0.0.0 , < 17.10.5.1
(custom)
|
guessed | |
| Microsoft | Microsoft ODBC Driver 17 for SQL Server on Linux |
Affected:
17.0.0.0 , < 17.10.5.1
(custom)
|
guessed | |
| Microsoft | Microsoft ODBC Driver 17 for SQL Server on MacOS |
Affected:
17.0.0.0 , < 17.10.5.1
(custom)
|
guessed | |
| Microsoft | Microsoft ODBC Driver 18 for SQL Server on Windows |
Affected:
18.0.0.0 , < 18.3.2.1
(custom)
|
guessed | |
| Microsoft | Microsoft ODBC Driver 18 for SQL Server on Linux |
Affected:
18.0.0.0 , < 18.3.2.1
(custom)
|
guessed | |
| Microsoft | Microsoft ODBC Driver 18 for SQL Server on MacOS |
Affected:
18.0.0.0 , < 18.3.2.1
(custom)
|
guessed | |
| Microsoft | Microsoft SQL Server 2022 (CU 8) |
Affected:
15.0.0 , < 16.0.4080.1
(custom)
|
guessed | |
| Microsoft | Microsoft SQL Server 2019 (CU 22) |
Affected:
15.0.0 , < 15.0.4326.1
(custom)
|
guessed |
Date Public
2023-10-10 07:00
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"baseScore": 7.8,
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"scope": "UNCHANGED",
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"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
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},
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},
{
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},
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}
],
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{
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"version": "3"
},
"vulnrichment": {
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{
"metrics": [
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],
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"dateUpdated": "2025-02-26T19:57:57.896Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
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],
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"product": "Microsoft SQL Server 2022 (GDR)",
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{
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"product": "Microsoft ODBC Driver 17 for SQL Server on Windows",
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"product": "Microsoft ODBC Driver 17 for SQL Server on Linux",
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"product": "Microsoft ODBC Driver 17 for SQL Server on MacOS",
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"product": "Microsoft ODBC Driver 18 for SQL Server on Windows",
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"versions": [
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],
"cpeApplicability": [
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}
}
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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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