CVE-2026-22687: WeKnora LLM Framework SQLi Vulnerability

CVE-2026-22687 Overview

CVE-2026-22687 is a SQL Injection vulnerability affecting WeKnora, an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.2.5, when the Agent service is enabled, the framework 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.

Critical Impact

Attackers can leverage prompt injection techniques to bypass security controls and extract sensitive data from databases, potentially leading to complete database compromise and unauthorized access to confidential information.

Affected Products

• WeKnora versions prior to 0.2.5
• WeKnora installations with Agent service enabled
• Systems exposing the database query tool interface

Discovery Timeline

• 2026-01-10 - CVE-2026-22687 published to NVD
• 2026-01-13 - Last updated in NVD database

Technical Details for CVE-2026-22687

Vulnerability Analysis

This vulnerability represents a concerning intersection of traditional SQL Injection (CWE-89) and modern LLM security challenges. The WeKnora framework's Agent service provides a database query tool that processes user inputs through an LLM interface. The core issue stems from insufficient validation of user-supplied prompts before they are translated into database queries.

When the Agent service is enabled, users can interact with the database through natural language queries. However, the backend fails to adequately sanitize or validate these inputs, creating an opportunity for attackers to craft malicious prompts that bypass intended query restrictions. This allows direct manipulation of the underlying SQL queries, leading to unauthorized data access.

The network-accessible nature of this vulnerability combined with the potential for high-impact data exfiltration makes it a significant security concern for organizations deploying WeKnora in production environments.

Root Cause

The root cause of this vulnerability lies in the insufficient backend validation of user inputs when processing database query requests through the Agent service. The framework trusted LLM-processed queries without implementing proper security controls at the database layer, allowing prompt-based bypass techniques to circumvent intended query restrictions.

This represents a common pitfall in LLM-powered applications where developers may assume the LLM layer provides sufficient input sanitization, when in reality, attackers can craft adversarial prompts that manipulate the model into generating malicious database queries.

Attack Vector

The attack vector for CVE-2026-22687 is network-based, requiring no authentication or user interaction. An attacker with network access to a WeKnora instance with the Agent service enabled can exploit this vulnerability by:

1. Connecting to the WeKnora Agent service interface
2. Crafting malicious prompts designed to bypass query restrictions
3. Using prompt injection techniques to manipulate the LLM into generating unauthorized SQL queries
4. Extracting sensitive information from the database through the manipulated queries

The attack complexity is considered high due to the need for crafting effective prompt bypass techniques, but successful exploitation can result in complete compromise of data confidentiality and integrity.

Detection Methods for CVE-2026-22687

Indicators of Compromise

• Unusual or malformed queries appearing in database logs that don't match expected application patterns
• Evidence of data exfiltration or large result sets being returned to external sources
• Log entries showing prompt patterns attempting SQL injection syntax or semantic manipulation
• Unexpected database access patterns from the WeKnora Agent service

Detection Strategies

• Monitor database query logs for anomalous query patterns originating from the WeKnora Agent service
• Implement query analysis tools to detect SQL injection patterns in LLM-generated queries
• Deploy database activity monitoring (DAM) solutions to identify unauthorized data access attempts
• Review application logs for suspicious prompt patterns that may indicate bypass attempts

Monitoring Recommendations

• Enable verbose logging for the WeKnora Agent service to capture all database query requests
• Configure alerts for queries accessing sensitive tables or performing bulk data extraction
• Implement rate limiting and anomaly detection for database query endpoints
• Regularly audit database access logs for signs of unauthorized data retrieval

How to Mitigate CVE-2026-22687

Immediate Actions Required

• Upgrade WeKnora to version 0.2.5 or later immediately
• Disable the Agent service if not required until patching is complete
• Implement network-level access controls to restrict access to the WeKnora Agent service
• Review database access logs for any signs of exploitation

Patch Information

Tencent has released version 0.2.5 of WeKnora which addresses this vulnerability. The fix is available through the GitHub commit with hash da55707022c252dd2c20f8e18145b2d899ee06a1. Organizations should update to version 0.2.5 or later as soon as possible. Additional details are available in the GitHub Security Advisory.

Workarounds

• Disable the Agent service entirely if database query functionality is not essential
• Implement a web application firewall (WAF) or API gateway to filter malicious requests
• Restrict network access to the WeKnora Agent service to trusted IP ranges only
• Deploy additional input validation at the application layer before queries reach the database

# Configuration example - Disable Agent service until patched
# In WeKnora configuration file (config.yaml or equivalent)
agent:
  enabled: false
  database_query_tool: false

# Network restriction example (iptables)
iptables -A INPUT -p tcp --dport <WEKNORA_PORT> -s <TRUSTED_IP_RANGE> -j ACCEPT
iptables -A INPUT -p tcp --dport <WEKNORA_PORT> -j DROP