CVE-2026-22687 is an SQL Injection vulnerability identified in Tencent's WeKnora, an LLM-powered framework designed for deep document understanding and semantic retrieval. The vulnerability exists in versions prior to 0.2.5 when the Agent service is enabled, which allows users to invoke a database query tool. Due to insufficient backend validation of user inputs, attackers can exploit prompt-based bypass techniques to circumvent query restrictions. This enables them to craft malicious SQL queries that the backend executes, potentially exposing sensitive data stored in the database. The vulnerability is classified under CWE-89, indicating improper neutralization of special elements in SQL commands. The CVSS v3.1 base score is 8.1, reflecting high severity with network attack vector, no privileges required, no user interaction needed, and impacts on confidentiality, integrity, and availability. Although no known exploits have been observed in the wild, the vulnerability poses a serious risk due to the nature of the data handled by WeKnora and the ease of remote exploitation. The issue was publicly disclosed and patched in version 0.2.5, emphasizing the importance of timely updates. The vulnerability highlights the risks of integrating AI-powered frameworks with backend databases without rigorous input sanitization and validation controls.

For European organizations, this vulnerability could lead to unauthorized disclosure of sensitive data, including intellectual property, personal data, or confidential business information managed within WeKnora-powered systems. The compromise of data confidentiality and integrity could result in regulatory non-compliance, especially under GDPR, leading to legal and financial penalties. Additionally, attackers could alter or delete data, disrupting business operations and damaging trust. Since WeKnora is designed for deep document understanding, the exposure of processed documents could have cascading effects on decision-making and automated workflows. The high severity and network accessibility mean attackers can exploit this vulnerability remotely without authentication, increasing the risk of widespread attacks. Organizations relying on Tencent's AI frameworks or integrating WeKnora into their document management or semantic retrieval systems are particularly vulnerable. The absence of known exploits in the wild suggests a window of opportunity for defenders to patch and mitigate before active exploitation occurs.

1. Immediately upgrade all WeKnora deployments to version 0.2.5 or later to apply the official patch addressing this SQL Injection vulnerability. 2. Implement rigorous input validation and sanitization on all user inputs, especially those interacting with database query tools, to prevent injection of malicious SQL commands. 3. Employ parameterized queries or prepared statements in backend database interactions to eliminate direct concatenation of user inputs into SQL commands. 4. Restrict or disable the Agent service if not required, minimizing the attack surface. 5. Monitor database query logs and application logs for unusual or suspicious query patterns indicative of injection attempts. 6. Apply network segmentation and firewall rules to limit access to backend database services only to trusted components. 7. Conduct regular security assessments and penetration testing focusing on AI-powered frameworks and their integration points. 8. Educate developers and administrators on secure coding practices related to AI and database interactions. 9. Consider deploying Web Application Firewalls (WAF) with rules tailored to detect and block SQL Injection attempts targeting WeKnora endpoints. 10. Maintain an incident response plan to quickly address any detected exploitation attempts.