VULNERABILITY INTELLIGENCE

CVE-2026-30856

CVSS score5.9 MEDIUM
EPSS probability0.27%
CISA KEVNot currently listed
Published2026-03-07
Last modified2026-06-17
CVSS vectorCVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:L/A:L

Description

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.

Weakness classification

  • security-advisories@github.com: CWE-706

Primary references