CVE-2025-49719 (GCVE-0-2025-49719)
Vulnerability from cvelistv5 – Published: 2025-07-08 16:57 – Updated: 2026-02-13 19:06
VLAI
EPSS
VEX
Title
Microsoft SQL Server Information Disclosure Vulnerability
Summary
Improper input validation in SQL Server allows an unauthorized attacker to disclose information over a network.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-07-08 19:20 UTC
CWE
- CWE-20 - Improper Input Validation
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://msrc.microsoft.com/update-guide/vulnerabi… | vendor-advisorypatch |
Impacted products
8 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Microsoft | Microsoft SQL Server 2016 for Service Pack 2 (GDR) |
Affected:
13.0.0 , < 13.0.6460.7
(custom)
|
guessed | |
| Microsoft | Microsoft SQL Server 2016 Service Pack 3 Azure Connect Feature Pack |
Affected:
13.0.0 , < 13.0.7055.9
(custom)
|
guessed | |
| Microsoft | Microsoft SQL Server 2017 (CU 31) |
Affected:
14.0.0 , < 14.0.3495.9
(custom)
|
guessed | |
| Microsoft | Microsoft SQL Server 2017 (GDR) |
Affected:
14.0.0 , < 14.0.2075.8
(custom)
|
guessed | |
| Microsoft | Microsoft SQL Server 2019 (CU 32) |
Affected:
15.0.0.0 , < 15.0.4435.7
(custom)
|
guessed | |
| Microsoft | Microsoft SQL Server 2019 (GDR) |
Affected:
15.0.0 , < 15.0.2135.5
(custom)
|
guessed | |
| Microsoft | Microsoft SQL Server 2022 (CU 19) |
Affected:
16.0.0.0 , < 16.0.4200.1
(custom)
|
guessed | |
| Microsoft | Microsoft SQL Server 2022 (GDR) |
Affected:
16.0.0 , < 16.0.1140.6
(custom)
|
guessed |
Date Public
2025-07-08 07:00
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{
"lang": "en-US",
"value": "Improper input validation in SQL Server allows an unauthorized attacker to disclose information over a network."
}
],
"metrics": [
{
"cvssV3_1": {
"baseScore": 7.5,
"baseSeverity": "HIGH",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N/E:U/RL:O/RC:C",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en-US",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-20",
"description": "CWE-20: Improper Input Validation",
"lang": "en-US",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-08-18T17:50:46.381Z",
"orgId": "f38d906d-7342-40ea-92c1-6c4a2c6478c8",
"shortName": "microsoft"
},
"references": [
{
"name": "Microsoft SQL Server Information Disclosure Vulnerability",
"tags": [
"vendor-advisory"
],
"url": "https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-49719"
}
],
"title": "Microsoft SQL Server Information Disclosure Vulnerability"
}
},
"cveMetadata": {
"assignerOrgId": "f38d906d-7342-40ea-92c1-6c4a2c6478c8",
"assignerShortName": "microsoft",
"cveId": "CVE-2025-49719",
"datePublished": "2025-07-08T16:57:22.103Z",
"dateReserved": "2025-06-09T21:23:11.521Z",
"dateUpdated": "2025-08-18T17:50:46.381Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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