CVE-2022-41066 (GCVE-0-2022-41066)
Vulnerability from cvelistv5 – Published: 2022-11-09 00:00 – Updated: 2026-08-10 15:11
VLAI
EPSS
VEX
Title
Microsoft Dynamics Business Central Information Disclosure Vulnerability
Summary
Microsoft Dynamics Business Central Information Disclosure Vulnerability
Severity
CWE
- Information Disclosure
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://msrc.microsoft.com/update-guide/vulnerabi… | vendor-advisorypatch |
Impacted products
5 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Microsoft | Dynamics 365 Business Central Spring 2019 Update |
Affected:
14.0.0 , < 14.0.49339
(custom)
|
guessed | |
| Microsoft | Microsoft Dynamics 365 Business Central 2021 Release Wave 2 |
Affected:
19.0.0 , < 19.0.48446
(custom)
|
guessed | |
| Microsoft | Microsoft Dynamics 365 Business Central 2022 Release Wave 1 |
Affected:
20.0.0 , < 20.0.48457
(custom)
|
guessed | |
| Microsoft | Microsoft Dynamics 365 Business Central 2022 Release Wave 2 |
Affected:
21.0.0 , < 21.0.48504
(custom)
|
guessed | |
| Microsoft | Microsoft Dynamics NAV 2018 |
Affected:
1.0 , < 49345
(custom)
|
guessed |
Date Public
2022-11-08 16:00
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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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