CVE-2026-57773 in Advanced Shipment Tracking for WooCommerce Plugin
Summary
by MITRE • 07/13/2026
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Zorem Advanced Shipment Tracking for WooCommerce woo-advanced-shipment-tracking allows Blind SQL Injection.This issue affects Advanced Shipment Tracking for WooCommerce: from n/a through <= 4.0.
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Analysis
by VulDB Data Team • 07/13/2026
This vulnerability represents a critical sql injection flaw classified under cwe-89 within the zorem advanced shipment tracking for woocommerce plugin ecosystem. The weakness manifests when user-supplied input containing special sql characters is improperly processed and directly incorporated into sql query constructions without adequate sanitization or parameterization measures. The affected version range spans from the initial release through version 4.0, indicating this vulnerability has persisted across multiple iterations of the plugin's development lifecycle.
The specific implementation flaw allows for blind sql injection attacks where malicious actors can manipulate database queries through carefully crafted input parameters. This occurs when the plugin fails to properly escape or validate user-supplied data before incorporating it into backend sql operations. Attackers can exploit this by injecting sql payloads that, while not immediately revealing database contents through error messages, can still extract information through time-based or boolean-based responses from the database server.
The operational impact of this vulnerability extends beyond simple data theft to encompass complete database compromise and potential system infiltration. Successful exploitation could enable attackers to access sensitive shipment tracking data including customer information, order details, and potentially administrative credentials stored within the same database. The blind nature of the injection means that even without direct output disclosure, attackers can systematically extract data through inference techniques that leverage database response timing characteristics.
From a threat modeling perspective, this vulnerability aligns with attack patterns documented in the attack technique matrix under t1213 database credential access and t1203 sql injection. The weakness creates an entry point for lateral movement within the affected wordpress environment where the plugin operates, potentially allowing attackers to escalate privileges or extract additional sensitive information from connected systems. The vulnerability's persistence across multiple versions suggests inadequate input validation mechanisms were not properly implemented during development cycles.
Mitigation strategies should prioritize immediate plugin updates to versions that address this sql injection vulnerability through proper parameterization of database queries and implementation of input sanitization routines. Organizations should also implement web application firewalls with sql injection detection capabilities and conduct comprehensive security assessments of their wordpress installations. Additionally, database access controls should be reviewed to ensure least privilege principles are enforced and that sensitive data is appropriately protected through encryption both at rest and in transit. Regular vulnerability scanning and penetration testing should be implemented to identify similar weaknesses in other plugin components or custom developed applications within the wordpress ecosystem.