weknora

WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.2.12, a remote code execution (RCE) vulnerability exists in the application's database query functionality. The validation system fails to recursively inspect child nodes within PostgreSQL array expressions and row expressions, allowing attackers to bypass SQL injection protections. By smuggling dangerous PostgreSQL functions inside these expressions and chaining them with large object operations and library loading capabilities, an unauthenticated attacker can achieve arbitrary code execution on the database server with database user privileges. This issue has been patched in version 0.2.12.

WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. From version 0.2.5 to before version 0.2.10, an unauthenticated remote code execution (RCE) vulnerability exists in the MCP stdio configuration validation. The application allows unrestricted user registration, meaning any attacker can create an account and exploit the command injection flaw. Despite implementing a whitelist for allowed commands (npx, uvx) and blacklists for dangerous arguments and environment variables, the validation can be bypassed using the -p flag with npx node. This allows any attacker to execute arbitrary commands with the application's privileges, leading to complete system compromise. This issue has been patched in version 0.2.10.

WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.3.2, an authorization bypass in tenant management endpoints of WeKnora application allows any authenticated user to read, modify, or delete any tenant by ID. Since account registration is open to the public, this vulnerability allows any unauthenticated attacker to register an account and subsequently exploit the system. This enables cross-tenant account takeover and destruction, making the impact critical. This issue has been patched in version 0.3.2.

A security flaw has been discovered in Tencent WeKnora 0.1.0. This impacts the function testEmbeddingModel of the file /api/v1/initialization/embedding/test. The manipulation of the argument baseUrl results in server-side request forgery. The attack can be launched remotely. The exploit has been released to the public and may be exploited. It is advisable to upgrade the affected component. The vendor responds: "We have confirmed that the issue mentioned in the report does not exist in the latest releases".

WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.3.0, a DNS rebinding vulnerability in the web_fetch tool allows an unauthenticated attacker to bypass URL validation and access internal resources on the server, including private IP addresses (e.g., 127.0.0.1, 192.168.x.x). By crafting a malicious domain that resolves to a public IP during validation and subsequently resolves to a private IP during execution, an attacker can access sensitive local services and potentially exfiltrate data. This issue has been patched in version 0.3.0.

WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.2.12, the application's "Import document via URL" feature is vulnerable to Server-Side Request Forgery (SSRF) through HTTP redirects. While the backend implements comprehensive URL validation (blocking private IPs, loopback addresses, reserved hostnames, and cloud metadata endpoints), it fails to validate redirect targets. An attacker can bypass all protections by using a redirect chain, forcing the server to access internal services. Additionally, Docker-specific internal addresses like host.docker.internal are not blocked. This issue has been patched in version 0.2.12.

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.

WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.2.12, a broken access control vulnerability in the database query tool allows any authenticated tenant to read sensitive data belonging to other tenants, including API keys, model configurations, and private messages. The application fails to enforce tenant isolation on critical tables (models, messages, embeddings), enabling unauthorized cross-tenant data access with user-level authentication privileges. This issue has been patched in version 0.2.12.

WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.3.0, a cross-tenant authorization bypass in the knowledge base copy endpoint allows any authenticated user to clone (duplicate) another tenant’s knowledge base into their own tenant by knowing/guessing the source knowledge base ID. This enables bulk data exfiltration (document/FAQ content) across tenants. This issue has been patched in version 0.3.0.