Cyber Resilience

CVE-2026-54117

RCE in Microsoft Sql Server 2016 13.0.6300.2 – 13.0.6500.1

Published
14 July 2026
Modified
20 August 2026
Patch / advisory
CVSS Score v3.1 9.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.012 66th percentile
Risk Priority 74 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2026-54117 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Microsoft Sql Server 2016. Its CVSS base score is 9.8 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 34% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Deserialization of untrusted data in SQL Server allows an unauthorized attacker to execute code over a network.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
T1203 Exploitation for Client Execution Execution
Adversaries may exploit software vulnerabilities in client applications to execute code.
T1210 Exploitation of Remote Services Lateral Movement
Adversaries may exploit remote services to gain unauthorized access to internal systems once inside of a network.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2026-54118Same product: Microsoft Sql Server 2016
CVE-2026-77484Same product: Microsoft Sql Server 2019
CVE-2026-70321Same vendor: Microsoft
CVE-2026-66808Same vendor: Microsoft
CVE-2026-40357Same vendor: Microsoft
CVE-2024-49147Same vendor: Microsoft
CVE-2026-69836Same vendor: Microsoft
CVE-2025-59287Same vendor: Microsoft
CVE-2025-29793Same vendor: Microsoft
CVE-2023-36439Same vendor: Microsoft

Affected Assets

microsoft
sql server 2016
13.0.6300.2 — 13.0.6500.1 · 13.0.7000.253 — 13.0.7095.1
microsoft
sql server 2017
14.0.1000.169 — 14.0.2120.1 · 14.0.3006.16 — 14.0.3540.1
microsoft
sql server 2019
15.0.2000.5 — 15.0.2180.2 · 15.0.4003.23 — 15.0.4480.2
microsoft
sql server 2022
16.0.1000.6 — 16.0.1190.2 · 16.0.4003.1 — 16.0.4262.2
microsoft
sql server 2025
17.0.1000.7 — 17.0.1125.2 · 17.0.4006.2 — 17.0.4060.2

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

Developer testing and evaluation can uncover deserialization flaws before deployment.

Input validation directly stops deserialization of untrusted data by ensuring inputs are valid before processing.

Engineering principles such as safe deserialization and input sanitization structurally prevent the weakness from being introduced.

Integrity verification tools can detect malformed or tampered serialized data after the fact.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-02 none match
prevents

PR.PS-02 addresses only post-deployment updates/patching and cannot prevent introduction of unsafe deserialization code, yet it can remediate some instances when the flaw exists in outdated libraries or components.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

prevents

Requiring vetted libraries, regular updates and SAST before release reduces the likelihood that deserialization logic will accept and act on attacker-controlled serialized objects.

finds

Security testing includes validation of deserialization routines and the use of untrusted data, reducing the likelihood that unsafe object reconstruction will be deployed.

finds

Regular scanning of third-party libraries and timely patching reduce the likelihood that unsafe deserialization vulnerabilities remain active.

References