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CVE-2026-61372 – Path Traversal / Local File Disclosure – Apache Jena Fuseki through 6.1.0

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Summary

CVE-2026-61372 is a path traversal (local file access restriction bypass) vulnerability in Apache Jena Fuseki. URL references to local resources within SPARQL Update requests were not correctly restricted, allowing an unauthenticated network attacker to access data on the local machine. The issue affects Apache Jena through version 6.1.0 and is rated High (CVSS 7.5).

Technical details

  • Root cause: URL references to local resources in SPARQL Update requests were not correctly restricted (CWE-22: Improper Limitation of a Pathname to a Restricted Directory).
  • Trigger conditions: An attacker submits a SPARQL Update request containing a URL reference that points to local resources on the server.
  • Attack vector: Network — exploitable remotely without authentication or user interaction.
  • Impact: Disclosure of sensitive data residing on the local machine (high confidentiality impact); integrity and availability are not affected.

Affected software

  • Apache Jena Fuseki through 6.1.0.

Severity

  • CVSS v3.1 base score: 7.5 (High)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Mitigation and recommended actions

  • Immediate: Upgrade to Apache Jena 6.2.0, which restricts URL references in SPARQL Update requests to HTTP or FTP protocols and resolves the issue.
  • If no patch: Restrict network access to the Fuseki SPARQL endpoint, and limit who can submit SPARQL Update requests until the upgrade can be applied.

How IONIX identifies potentially affected assets

IONIX matches the following signals against data already collected when it crawled the asset; identifying the technology sends no request beyond that crawl.

  • Named response header (Server): Apache Jena Fuseki
  • Page title: Apache Jena Fuseki

References

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Map your entire attack surface (continously)

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IONIX transforms real-world PoCs into safe, non-intrusive test payloads that can be run in production environments without disruption. These simulations are precisely targeted to the systems that are vulnerable, ensuring rapid validation without unnecessary load.

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By combining context about software stack, versioning, exposure status, and reachability, IONIX ensures that only the right payloads are executed against the right assets, maximizing efficiency and minimizing risk.

6

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