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CVE-2026-67359 – Authorization Bypass / Sensitive Order Data Exposure – J2Store (Joomla) 1.0.0–3.3.2

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Summary

CVE-2026-67359 is an authorization bypass vulnerability (CWE-639, Authorization Bypass Through User-Controlled Key) in the J2Store e-commerce extension for Joomla. An unauthenticated visitor can supply an arbitrary order_id value as a query parameter to view the full checkout confirmation page of another customer’s order. The flaw carries a CVSS v4.0 base score of 8.7 (High) and requires no authentication or user interaction to exploit.

Technical details

  • Root cause: the checkout confirmation page renders order details based solely on a user-supplied order_id parameter, without verifying that the requesting visitor is authorized to view that specific order.
  • Trigger condition: an attacker only needs to change the order_id value in the request URL to a different, guessable or sequential order number.
  • Attack vector: network-based (remote, unauthenticated HTTP request), low attack complexity, no privileges or user interaction required.
  • Impact: disclosure of another customer’s order data, including line items, purchased products, prices, and order totals; no impact on integrity or availability is indicated.

Affected software

  • J2Store (Joomla extension) versions 1.0.0 through 3.3.20
  • J2Store versions 4.0.0 through 4.0.20
  • J2Store versions 4.1.0 through 4.1.5

Severity

  • CVSS v4.0 Base Score: 8.7 (High)
  • Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N

Mitigation and recommended actions

  • Immediate: no patched version is identified in the published CVE record at this time. Contact j2commerce.com / the J2Store vendor to confirm availability of a fixed release and upgrade as soon as one is published.
  • If no patch is available: restrict or monitor access to checkout/order-confirmation endpoints, enforce server-side ownership checks (e.g., via a web application firewall rule blocking anomalous order_id enumeration), and review order-related request logs for sequential or out-of-pattern order_id access patterns indicative of scanning/enumeration.

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: /media/j2store/, /components/com_j2store/

References

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How IONIX’s External Exposure Management Platform Detects and Validates
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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  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
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