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CVE-2026-74251 – Unauthenticated SQL Injection – Phoca Cart Joomla Extension (5.0.0–6.1.16)

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Summary

CVE-2026-74251 is a critical, unauthenticated SQL injection vulnerability in Phoca Cart, a shopping-cart extension for Joomla. The flaw resides in the public-facing shop items page and lets a remote, unauthenticated attacker extract database contents via time-based blind SQL injection. It carries a CVSS score of 9.3 (Critical).

Technical details

  • Root cause: The a[] (attribute) and s[] (specification) GET parameters on the shop items page are concatenated directly into SQL WHERE clauses without parameterization or escaping.
  • Trigger conditions: Sending crafted values in the a[] and s[] query parameters to a public Phoca Cart shop listing page.
  • Attack vector: Network-based, requires no authentication and no user interaction (CWE-89, SQL Injection).
  • Impact: Time-based blind SQL injection enabling extraction of database contents; the associated CVSS impact metrics indicate high potential impact to confidentiality, integrity, and availability of the underlying database.

Affected software

  • Phoca Cart extension for Joomla, versions 5.0.0 through 6.1.6.

Severity

  • CVSS v4.0 Base Score: 9.3 (Critical)
  • Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Mitigation and recommended actions

  • Immediate: No vendor-confirmed patched version has been published in the CVE record at the time of writing. Check the Phoca vendor site and downloads page for any Phoca Cart release newer than 6.1.6 and apply it as soon as it is available.
  • If no patch is available: Restrict or monitor public access to the Phoca Cart shop items page, deploy a web application firewall rule to block or sanitize the a[] and s[] GET parameters, and monitor database/web server logs for time-delay based SQL injection probing patterns against these parameters.

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/com_phocacart/, /images/phocacartproducts/, /component/phocacart, /components/com_phocacart/
  • URL of a loaded script: /media/com_phocacart/

References

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How IONIX’s External Exposure Management Platform Detects and Validates
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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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