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CVE-2026-46581 – Remote Facelet Inclusion / Sensitive File Disclosure – Eclipse Mojarra 2.3 through

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Summary

CVE-2026-46581 is an unauthenticated remote resource inclusion vulnerability in Eclipse Mojarra, the reference implementation of Jakarta Faces / JavaServer Faces (JSF). The DefaultFaceletFactory component does not properly sanitize or block remote URLs, allowing an attacker to make the server include and process attacker-supplied Facelets with server privileges and expose sensitive files such as WEB-INF/web.xml or /etc/passwd. It affects Eclipse Mojarra 2.3 through 5.0 and is rated High (CVSS 7.5).

Technical details

  • Root cause: URL handling in DefaultFaceletFactory fails to sanitize or block remote/absolute URLs when resolving Facelet resources (e.g. the src/template attributes of ui:include, ui:composition, and ui:decorate). When a supplied path is not application-relative, it is treated as an absolute URL specification, letting an attacker-controlled URL override the intended base location.
  • Trigger conditions: An application that resolves a Facelet path from attacker-influenced input; no authentication is required.
  • Attack vector: Network (remote). The server fetches, parses, and processes the referenced Facelet, and can also be pointed at local resources via file:///jar:file:// schemes.
  • Impact: Disclosure of sensitive server-side files and inclusion/processing of remote Facelet content with the privileges of the application.
  • Weaknesses: CWE-22 (Path Traversal), CWE-94 (Code Injection), CWE-641 (Improper Restriction of Names for Files and Other Resources).

Affected software

  • Eclipse Mojarra versions 2.3 through 5.0 (inclusive).

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: Consult the Eclipse Foundation vulnerability report for CVE-2026-46581 and upgrade Eclipse Mojarra to a fixed release as published by the vendor.
  • If no patch: The vendor notes there is no workaround that does not break application functionality. Where feasible, avoid resolving Facelet paths from untrusted input, and restrict outbound network access from the application server so it cannot retrieve remote Facelets.

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.

  • x-powered-by response header: JSF

References

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1

Map your entire attack surface (continously)

IONIX uses multi-factor discovery methods, including DNS analysis, certificate mapping, metadata inspection, and more, to automatically map every internet-facing asset across your environment. This includes cloud instances, third-party platforms, shadow IT, and even forgotten infrastructure that traditional tools miss.

2

Monitor for new CVEs

Dozens of threat intel feeds using agentic technology are continuously analyzed to detect the appearance of proof-of-concept code, exploit kits, and indicators of active targeting. IONIX goes further by applying AI to proactively evaluate whether emerging vulnerabilities are likely to be exploited, even before PoCs go public.

3

Identify Potential External Exposures

Not all CVEs matter. IONIX filters vulnerabilities by asking attacker-centric questions: Can it be reached from the internet? Does it require authentication? Is it being exploited in the wild? This dramatically reduces noise and focuses teams on threats that can actually be weaponized.

4

Create Safe, Scalable Exploit Validations

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.

5

Execute Exploit Validations

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

Drive Fast and Actionable Remediation

Results are routed through integrations with ticketing, SOAR, and SIEM tools. Issues are written in plain language, bundled into remediation clusters, and prioritized based on asset criticality, exploitability, and blast radius. This shortens mean time to remediation (MTTR) and empowers teams to act with confidence.

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