Skip to main content
Press slash or control plus K to focus the search. Use the arrow keys to navigate results and press enter to open a threat.
Reconnecting to live updates…

CVE-2026-30856: CWE-706: Use of Incorrectly-Resolved Name or Reference in Tencent WeKnora

0
Medium
VulnerabilityCVE-2026-30856cvecve-2026-30856cwe-706
Published: Sat Mar 07 2026 (03/07/2026, 16:32:44 UTC)
Source: CVE Database V5
Vendor/Project: Tencent
Product: WeKnora

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.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 03/14/2026, 20:00:32 UTC

Technical Analysis

Tencent WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Versions prior to 0.3.0 suffer from a vulnerability classified as CWE-706 (Use of Incorrectly-Resolved Name or Reference) due to an ambiguous naming convention in the MCP client, which uses the pattern mcp_{service}_{tool} for tool registration. This ambiguity allows a malicious remote MCP server to register a tool with a name colliding with legitimate tools (e.g., tavily_extract), effectively overwriting them. This indirect prompt injection enables the attacker to hijack the LLM execution flow, exfiltrate system prompts and context data, and potentially execute other tools with the privileges of the user running the MCP client. The attack requires network access to the MCP server, low privileges, and user interaction, making exploitation moderately difficult but feasible. The vulnerability impacts confidentiality, integrity, and availability to varying degrees, with the highest impact on confidentiality due to potential data exfiltration. Tencent addressed this issue in WeKnora version 0.3.0 by fixing the naming collision and improving tool registration validation.

Potential Impact

The vulnerability allows attackers to hijack tool execution within the WeKnora framework, leading to unauthorized access to sensitive system prompts and context, which can contain confidential information. This compromises confidentiality significantly. The attacker can also manipulate the execution flow, potentially causing integrity issues by executing unintended tools or commands. Availability impact is lower but present, as malicious tool execution could disrupt normal operations. Organizations relying on WeKnora for document understanding and semantic retrieval may face data breaches, intellectual property theft, and operational disruptions. Since the attack requires network access and user interaction, the risk is somewhat contained but still significant in environments where WeKnora is deployed in multi-tenant or exposed network scenarios.

Mitigation Recommendations

1. Upgrade all WeKnora deployments to version 0.3.0 or later, where the vulnerability is patched. 2. Implement strict validation and sanitization of tool names during MCP client registration to prevent name collisions. 3. Restrict network access to MCP servers to trusted entities only, minimizing exposure to malicious remote servers. 4. Monitor MCP tool registration logs for suspicious or unexpected tool names that could indicate attempted exploitation. 5. Employ network segmentation and zero-trust principles around systems running WeKnora to limit lateral movement if compromised. 6. Educate users and administrators about the risks of interacting with untrusted MCP servers and tools. 7. Conduct regular security audits and penetration testing focused on LLM frameworks and their integration points to detect similar vulnerabilities early.

Pro Console: star threats, build custom feeds, automate alerts via Slack, email & webhooks.Upgrade to Pro

Technical Details

Data Version
5.2
Assigner Short Name
GitHub_M
Date Reserved
2026-03-05T21:27:35.342Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 69ac564fc48b3f10ffb12c2c

Added to database: 3/7/2026, 4:46:07 PM

Last enriched: 3/14/2026, 8:00:32 PM

Last updated: 4/22/2026, 10:53:09 AM

Views: 170

Community Reviews

0 reviews

Crowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.

Sort by
Loading community insights…

Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.

Actions

PRO

Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.

Please log in to the Console to use AI analysis features.

Need more coverage?

Upgrade to Pro Console for AI refresh and higher limits.

For incident response and remediation, OffSeq services can help resolve threats faster.

Latest Threats

Breach by OffSeqOFFSEQFRIENDS — 25% OFF

Check if your credentials are on the dark web

Instant breach scanning across billions of leaked records. Free tier available.

Scan now
OffSeq TrainingCredly Certified

Lead Pen Test Professional

Technical5-day eLearningPECB Accredited
View courses