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CVE-2026-12713 – Unauthenticated SQL Injection – WPCargo Track & Trace WordPress Plugin before 8.0.4

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Summary

CVE-2026-12713 is an unauthenticated SQL injection vulnerability in the WPCargo Track & Trace WordPress plugin in all versions before 8.0.4. The plugin fails to properly sanitise and escape a user-supplied parameter before using it in a SQL statement, allowing remote attackers to inject arbitrary SQL. It carries a CVSS v3.1 base score of 9.1 (Critical).

Technical details

  • Root cause: The plugin does not properly sanitise and escape a parameter before using it in a SQL statement (CWE-89).
  • Trigger conditions: An attacker sends a crafted request containing malicious SQL to the affected parameter; no authentication is required.
  • Attack vector: Network, exploitable remotely without privileges or user interaction.
  • Impact: Unauthenticated attackers can read and modify database contents, leading to high confidentiality and integrity impact.

Affected software

  • WPCargo Track & Trace WordPress plugin — all versions before 8.0.4.

Severity

  • CVSS v3.1 base score: 9.1 (Critical)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N

Mitigation and recommended actions

  • Immediate: Upgrade the WPCargo Track & Trace plugin to version 8.0.4 or later.
  • If no patch can be applied: Restrict or filter access to the plugin’s endpoints at the network or web application firewall layer, and consider disabling the plugin until it can be updated.

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 HTTP response body: /wp-content/plugins/wpcargo/

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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