CVE-2026-73029 (GCVE-0-2026-73029)
Vulnerability from cvelistv5 – Published: 2026-09-08 17:13 – Updated: 2026-09-15 22:38
VLAI
EPSS
VEX
Title
Microsoft SQL Server Information Disclosure Vulnerability
Summary
Buffer over-read in SQL Server allows an authorized attacker to disclose information over a network.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-08 19:49 UTC
CWE
- CWE-126 - Buffer Over-read
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://msrc.microsoft.com/update-guide/vulnerabi… | vendor-advisorypatch |
Impacted products
6 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Microsoft | Microsoft SQL Server 2019 (CU 32) |
Affected:
15.0.0.0 , < 15.0.4490.9
(custom)
|
guessed | |
| Microsoft | Microsoft SQL Server 2019 (GDR) |
Affected:
15.0.0 , < 15.0.2190.7
(custom)
|
guessed | |
| Microsoft | Microsoft SQL Server 2022 (CU 26) |
Affected:
16.0.0.0 , < 16.0.4275.2
(custom)
|
guessed | |
| Microsoft | Microsoft SQL Server 2022 (GDR) |
Affected:
16.0.0 , < 16.0.1200.5
(custom)
|
guessed | |
| Microsoft | Microsoft SQL Server 2025 (CU8) |
Affected:
17.0.0.0 , < 17.0.4085.5
(custom)
|
guessed | |
| Microsoft | Microsoft SQL Server 2025 for x64-based Systems (GDR) |
Affected:
17.0.1050.2 , < 17.0.1135.8
(custom)
|
guessed |
Date Public
2026-09-08 14:00
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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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