Vulnary
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Critical· 9.8official fix available

CVE-2024-26800

A flaw in the Linux kernel's TLS (Transport Layer Security) implementation allows for a 'use-after-free' error. This occurs when the system incorrectly handles memory during a failed decryption process.

publishedApr 4, 2024
last modifiedAug 4, 2026
sourcesNVD
severity · cvss
9.8
critical · how bad it is
exploitation · epss
<1%
51th 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 4, 2026

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

01

Who is affected

Users running Linux kernel version 6.8 or affected versions of the Linux kernel.

02

Real-world impact

An attacker could potentially exploit this memory error to cause a system crash or execute arbitrary code, potentially gaining control over the affected system.

03

Why this severity

The critical score reflects that this vulnerability is easy to exploit remotely without authentication and can lead to a total loss of confidentiality, integrity, and availability.

04

What to do about it

official fix available
recommended steps
  1. 01Update the Linux kernel to a version that includes the fix for the tls: fix use-after-free on failed backlog decryption vulnerability.

NVD-referenced vendor advisory

05

Timeline

  1. Apr 4, 2024 · Apr 4, 2024
    Published
    Disclosed and added to the National Vulnerability Database.
  2. Aug 4, 2026 · 2d ago
    Advisory updated
    The NVD record was last revised.
  3. Aug 5, 2026 · 22h 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 impactHigh
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 →