CVE-2026-22687: CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in Tencent WeKnora
WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.2.5, after WeKnora enables the Agent service, it allows users to call the database query tool. Due to insufficient backend validation, an attacker can use prompt‑based bypass techniques to evade query restrictions and obtain sensitive information from the target server and database. This issue has been patched in version 0.2.5.
AI Analysis
Technical Summary
CVE-2026-22687 is an SQL Injection vulnerability classified under CWE-89 affecting Tencent's WeKnora framework, a large language model-powered tool 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 craft malicious prompts that bypass query restrictions, enabling them to inject arbitrary SQL commands. This can result in unauthorized disclosure of sensitive data, modification or deletion of database contents, and potential disruption of service. The vulnerability is remotely exploitable without requiring authentication or user interaction, increasing its risk profile. The CVSS v3.1 score of 8.1 reflects high impact on confidentiality, integrity, and availability, with network attack vector and high attack complexity. Although no exploits have been reported in the wild yet, the flaw represents a critical risk for any deployment of WeKnora prior to the patched version 0.2.5. The patch addresses the backend validation shortcomings, preventing prompt-based bypasses and securing database queries.
Potential Impact
For European organizations, exploitation of this vulnerability could lead to significant data breaches involving sensitive or proprietary information stored within WeKnora's backend databases. This could result in loss of intellectual property, exposure of confidential client or internal data, and potential regulatory non-compliance under GDPR due to unauthorized data access. The integrity of data could be compromised, leading to corrupted or manipulated datasets that affect business operations or decision-making processes. Availability impacts could arise if attackers execute destructive SQL commands, causing service disruptions or downtime. Organizations relying on WeKnora for document understanding and semantic retrieval could face operational setbacks and reputational damage. Given the remote and unauthenticated nature of the exploit, attackers could target exposed WeKnora instances across networks, increasing the attack surface. The lack of known exploits currently provides a window for proactive mitigation before widespread exploitation occurs.
Mitigation Recommendations
European organizations should immediately upgrade all WeKnora deployments to version 0.2.5 or later to apply the official patch that fixes the SQL Injection vulnerability. In addition to patching, implement strict input validation and sanitization on all user-supplied data, especially those interacting with database query tools. Employ Web Application Firewalls (WAFs) with custom rules to detect and block SQL Injection patterns and anomalous query behaviors. Monitor database query logs and application logs for unusual or unauthorized access attempts indicative of injection attacks. Restrict network access to the Agent service and database query tools to trusted internal networks or VPNs to reduce exposure. Conduct regular security assessments and penetration testing focused on injection flaws in WeKnora integrations. Educate developers and administrators on secure coding practices and the risks of prompt-based injection techniques. Finally, maintain an incident response plan to quickly address any detected exploitation attempts.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden
CVE-2026-22687: CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in Tencent WeKnora
Description
WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.2.5, after WeKnora enables the Agent service, it allows users to call the database query tool. Due to insufficient backend validation, an attacker can use prompt‑based bypass techniques to evade query restrictions and obtain sensitive information from the target server and database. This issue has been patched in version 0.2.5.
AI-Powered Analysis
Technical Analysis
CVE-2026-22687 is an SQL Injection vulnerability classified under CWE-89 affecting Tencent's WeKnora framework, a large language model-powered tool 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 craft malicious prompts that bypass query restrictions, enabling them to inject arbitrary SQL commands. This can result in unauthorized disclosure of sensitive data, modification or deletion of database contents, and potential disruption of service. The vulnerability is remotely exploitable without requiring authentication or user interaction, increasing its risk profile. The CVSS v3.1 score of 8.1 reflects high impact on confidentiality, integrity, and availability, with network attack vector and high attack complexity. Although no exploits have been reported in the wild yet, the flaw represents a critical risk for any deployment of WeKnora prior to the patched version 0.2.5. The patch addresses the backend validation shortcomings, preventing prompt-based bypasses and securing database queries.
Potential Impact
For European organizations, exploitation of this vulnerability could lead to significant data breaches involving sensitive or proprietary information stored within WeKnora's backend databases. This could result in loss of intellectual property, exposure of confidential client or internal data, and potential regulatory non-compliance under GDPR due to unauthorized data access. The integrity of data could be compromised, leading to corrupted or manipulated datasets that affect business operations or decision-making processes. Availability impacts could arise if attackers execute destructive SQL commands, causing service disruptions or downtime. Organizations relying on WeKnora for document understanding and semantic retrieval could face operational setbacks and reputational damage. Given the remote and unauthenticated nature of the exploit, attackers could target exposed WeKnora instances across networks, increasing the attack surface. The lack of known exploits currently provides a window for proactive mitigation before widespread exploitation occurs.
Mitigation Recommendations
European organizations should immediately upgrade all WeKnora deployments to version 0.2.5 or later to apply the official patch that fixes the SQL Injection vulnerability. In addition to patching, implement strict input validation and sanitization on all user-supplied data, especially those interacting with database query tools. Employ Web Application Firewalls (WAFs) with custom rules to detect and block SQL Injection patterns and anomalous query behaviors. Monitor database query logs and application logs for unusual or unauthorized access attempts indicative of injection attacks. Restrict network access to the Agent service and database query tools to trusted internal networks or VPNs to reduce exposure. Conduct regular security assessments and penetration testing focused on injection flaws in WeKnora integrations. Educate developers and administrators on secure coding practices and the risks of prompt-based injection techniques. Finally, maintain an incident response plan to quickly address any detected exploitation attempts.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-01-08T19:23:09.854Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 6961d21f19784dcf52da7b8f
Added to database: 1/10/2026, 4:14:23 AM
Last enriched: 1/17/2026, 7:53:26 AM
Last updated: 2/7/2026, 6:46:49 PM
Views: 116
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Related Threats
CVE-2026-2106: Improper Authorization in yeqifu warehouse
MediumCVE-2026-2105: Improper Authorization in yeqifu warehouse
MediumCVE-2026-2090: SQL Injection in SourceCodester Online Class Record System
MediumCVE-2026-2089: SQL Injection in SourceCodester Online Class Record System
MediumCVE-2026-2088: SQL Injection in PHPGurukul Beauty Parlour Management System
MediumActions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console in Console -> Billing for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.