CVE-2026-3023 in Application Web
Summary
by MITRE • 03/16/2026
Non-relational SQL injection vulnerability (NoSQLi) in the Wakyma web application, specifically in the endpoint 'vets.wakyma.com/pets/print-tags'. This vulnerability could allow an authenticated user to alter a POST request to the affected endpoint for the purpose of injecting NoSQL commands, allowing them to list both pets and owner names.
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Analysis
by VulDB Data Team • 03/21/2026
The vulnerability identified as CVE-2026-3023 represents a critical non-relational sql injection flaw within the Wakyma web application ecosystem. This security weakness specifically targets the endpoint located at vets.wakyma.com/pets/print-tags, which serves as a crucial functionality for veterinary professionals to generate pet identification tags. The vulnerability stems from inadequate input validation and sanitization mechanisms within the application's data processing pipeline, creating an exploitable entry point for malicious actors who possess legitimate authentication credentials. The flaw enables attackers to manipulate the application's data retrieval processes through carefully crafted POST requests that contain injected NoSQL commands, fundamentally compromising the integrity of the application's data handling mechanisms.
The technical implementation of this vulnerability manifests through the application's failure to properly escape or validate user-supplied data before incorporating it into database queries. When an authenticated user submits a POST request to the print-tags endpoint, the application processes the input without sufficient sanitization measures, allowing malicious payloads to be interpreted as part of the query structure rather than as simple data elements. This creates a scenario where attackers can manipulate the underlying database operations to extract unauthorized information, specifically targeting the retrieval of both pet records and associated owner names. The vulnerability operates at the application layer where NoSQL database interactions occur, exploiting the trust relationship between authenticated users and the application's processing logic.
From an operational impact perspective, this vulnerability presents significant risks to data confidentiality and privacy within the veterinary management system. The ability to extract pet owner information through unauthorized database queries creates potential for identity theft, stalking, or other malicious activities that could compromise individual privacy. The attack vector requires only authenticated access, which means that any user with valid credentials could potentially exploit this flaw, making it particularly dangerous in environments where multiple users share administrative or operational privileges. The vulnerability essentially transforms a legitimate administrative function into a data exfiltration mechanism, undermining the security controls that should protect sensitive personal information.
Security professionals should consider this vulnerability in the context of CWE-94, which addresses the execution of arbitrary code through injection flaws, and the ATT&CK framework's technique T1078 for valid accounts and T1213 for data from information repositories. Organizations should implement immediate mitigations including thorough input validation, parameterized queries, and comprehensive logging of all database interactions. The application should be updated to sanitize all user inputs before processing, implement proper access controls, and establish monitoring mechanisms to detect anomalous query patterns. Additionally, regular security assessments and penetration testing should be conducted to identify similar vulnerabilities across the application's entire attack surface, ensuring that the security posture remains robust against evolving threat landscapes.