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CVE-2026-49233 Nlnetlabs CVE debrief

CVE-2026-49233 is a HIGH-severity vulnerability in Routinator, a software developed by Nlnetlabs. The vulnerability has a CVSS score of 8.3 and was published on 2026-06-08. The issue arises from Routinator's improper handling of the module component in rsync URIs, which can lead to path traversal attacks. This vulnerability potentially allows an attacker to access the entire Routinator rsync cache.

Vendor
Nlnetlabs
Product
Routinator
CVSS
HIGH 8.3
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-08
Original CVE updated
2026-07-23
Advisory published
2026-06-08
Advisory updated
2026-07-23

Who should care

Users of Routinator, especially those using versions prior to 0.15.2, should be aware of this vulnerability and take necessary actions to mitigate the risk.

Technical summary

The vulnerability is caused by Routinator not properly checking the module component of rsync URIs. This allows for path traversal by having a module name containing .., potentially providing an attacker access to the entire Routinator rsync cache.

Defensive priority

HIGH

Recommended defensive actions

  • Update Routinator to version 0.15.2 or later.
  • Review and restrict access to the Routinator rsync cache.
  • Monitor for suspicious activity related to Routinator.

Evidence notes

The CVE record and NVD detail pages provide additional information about this vulnerability.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-49233 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-49233

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

  • CVE-2026-49233 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-49233

    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.