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PatchSiren cyber security CVE debrief

CVE-2026-44693 pi-hole CVE debrief

CVE-2026-44693 is a high-severity vulnerability in Pi-hole FTL, a network-level advertisement and tracker blocker. The issue is a race condition in the HTTP session management subsystem, introduced with the v6.0 rewrite of the embedded CivetWeb-based web server. This vulnerability has been patched in version 6.6.1.

Vendor
pi-hole
Product
FTL
CVSS
HIGH 8.8
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-10
Original CVE updated
2026-06-11
Advisory published
2026-06-10
Advisory updated
2026-06-11

Who should care

Users of Pi-hole FTL versions prior to 6.6.1 should apply the patch to prevent exploitation of this high-severity vulnerability.

Technical summary

The vulnerability, rated 8.8 CVSS score, is caused by a race condition in the HTTP session management subsystem of Pi-hole FTL. The issue was introduced in version 6.0 and has been patched in version 6.6.1. The Common Weakness Enumeration (CWE) for this vulnerability is CWE-362.

Defensive priority

High

Recommended defensive actions

  • Apply the patch by updating Pi-hole FTL to version 6.6.1 or later.
  • Review and update your Pi-hole FTL installation to ensure you are running the latest version.

Evidence notes

The CVE was published on 2026-06-10T23:16:46.690Z and modified on 2026-06-11T17:16:33.733Z. The vulnerability has been publicly disclosed and patched.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-44693 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-44693

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-44693 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-44693

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.