CVE-2026-30856

Published: Mar 07, 2026 Last Modified: Mar 09, 2026
ExploitDB:
Other exploit source:
Google Dorks:
MEDIUM 5,9
Source: [email protected]
Attack Vector: network
Attack Complexity: high
Privileges Required: low
User Interaction: required
Scope: unchanged
Confidentiality: high
Integrity: low
Availability: low

Description

AI Translation Available

WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.3.0, a vulnerability involving tool name collision and indirect prompt injection allows a malicious remote MCP server to hijack tool execution. By exploiting an ambiguous naming convention in the MCP client (mcp_{service}_{tool}), an attacker can register a malicious tool that overwrites a legitimate one (e.g., tavily_extract). This enables the attacker to redirect LLM execution flow, exfiltrate system prompts, context, and potentially execute other tools with the user's privileges. This issue has been patched in version 0.3.0.

EPSS (Exploit Prediction Scoring System)

Trend Analysis

EPSS (Exploit Prediction Scoring System)

Prevede la probabilità di sfruttamento basata su intelligence sulle minacce e sulle caratteristiche della vulnerabilità.

EPSS Score
0,0004
Percentile
0,1th
Updated

EPSS Score Trend (Last 9 Days)

706

Use of Incorrectly-Resolved Name or Reference

Incomplete
Abstraction: Class Structure: Simple
Common Consequences
Security Scopes Affected:
Confidentiality Integrity
Potential Impacts:
Read Application Data Modify Application Data
Applicable Platforms
All platforms may be affected
View CWE Details
https://github.com/Tencent/WeKnora/security/advisories/GHSA…
https://github.com/Tencent/WeKnora/security/advisories/GHSA-67q9-58vj-32qx