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CVE-2026-61899 – Information Disclosure (Classpath Asset Download) – Apache Tapestry 5.5.0 through 5

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Summary

CVE-2026-61899 is an information disclosure vulnerability in the tapestry-core component of Apache Tapestry. Insufficient validation in the framework’s classpath asset handling allows an unauthenticated, remote attacker to download restricted classpath files via specially crafted URLs. It affects Apache Tapestry 5.5.0 through 5.9.0 and is rated HIGH (CVSS 7.5).

Technical details

  • Root cause: Insufficient validation of URL parameters in the classpath asset handling of tapestry-core, allowing file paths to be manipulated to reach classpath resources not intended for public retrieval (CWE-200: Exposure of Sensitive Information to an Unauthorized Actor).
  • Trigger conditions: An attacker sends a specially crafted URL to a Tapestry application; no authentication or user interaction is required.
  • Attack vector: Network — exploitable remotely over HTTP against an internet-facing Tapestry application.
  • Impact: Unauthorized disclosure of sensitive classpath files (high confidentiality impact; no integrity or availability impact).

Affected software

  • Apache Tapestry (org.apache.tapestry:tapestry-core) 5.5.0 through 5.9.0 (versions prior to 5.9.1).

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 Tapestry 5.9.1, which fixes this issue.
  • If no patch: Restrict network access to Tapestry applications and filter or block crafted requests to classpath asset URLs at a reverse proxy or WAF 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.

  • Raw response body: name="t:formdata", Powered by Apache Tapestry Framework
  • A named meta tag’s content: Tapestry in the generator meta tag; any value in the tapestry-page-name meta tag
  • A JavaScript object present once the page runs: t5/core/dom

References

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Zero-Days to Shrink MTTR

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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