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Critical· 9.1official fix available

CVE-2023-32249

A critical flaw in the Linux kernel's SMB server (ksmbd) could allow a guest user to be accepted on multichannel connections, leading to high confidentiality and integrity impacts. The vulnerability has a CVSS base score of 9.1. A patch has been released that prevents guest user binding on multichannel by returning STATUS_NOT_SUPPORTED.

publishedAug 16, 2025
last modifiedAug 4, 2026
sourcesNVD
severity · cvss
9.1
critical · how bad it is
exploitation · epss
<1%
26th percentile · chance of exploitation in 30 days
(ai-assisted) A model wrote this summary from the official data, so double-check it against the source before you act on it. Read the official advisory →
auto-deletes from the system
counting…on Sep 3, 2026

An official fix is available, so this entry is kept for 30 days and then removed automatically.

01

Who is affected

Linux kernel users

02

Real-world impact

An attacker could exploit this to gain unauthorized access to sensitive data or modify data on affected systems.

03

Why this severity

CVSS 9.1 (Critical) reflects the network‑adjacent, low‑complexity attack that requires no privileges or user interaction and can compromise confidentiality and integrity.

04

What to do about it

official fix available
recommended steps
  1. 01Apply the Linux kernel patch that resolves CVE-2023-32249 (the ksmbd guest user multichannel fix).

NVD description indicating the vulnerability has been resolved

05

Timeline

  1. Aug 16, 2025 · Aug 16, 2025
    Published
    Disclosed and added to the National Vulnerability Database.
  2. Aug 4, 2026 · 1d ago
    Advisory updated
    The NVD record was last revised.
  3. Aug 4, 2026 · 1d ago
    Official fix available
    A vendor patch or mitigation now exists — see the remediation steps above.
06

How it’s attacked

Attack vectorNetwork (remote)
Attack complexityLow
Privileges requiredNone
User interactionNone needed
ScopeUnchanged
Confidentiality impactHigh
Integrity impactHigh
Availability impactNone
07

References & advisories

(ai-assisted) A model wrote this summary from the official data, so double-check it against the source before you act on it. Read the official advisory →