CVE-2026-46701: CWE-346: Origin Validation Error in Jovancoding Network-AI
Network-AI is a TypeScript/Node.js multi-agent orchestrator. Prior to version 5.4.5, the MCP SSE server defaults to an empty secret (`process.env['NETWORK_AI_MCP_SECRET'] ?? ''` at `bin/mcp-server.ts:89`), which causes `_isAuthorized` (`lib/mcp-transport-sse.ts:254`) to return `true` unconditionally for every request — no `Authorization` header is required. Simultaneously, `_handleRequest` sets `Access-Control-Allow-Origin: *` (`lib/mcp-transport-sse.ts:272`) on every response, so a cross-origin browser fetch can read the result without restriction. An unauthenticated attacker who can lure a user to a malicious web page can invoke all 22 exposed MCP tools — including `config_set`, `agent_spawn`, and `blackboard_write` — against a default-configured localhost server. Version 5.4.5 patches the issue.
AI Analysis
Technical Summary
The vulnerability in Jovancoding Network-AI (CVE-2026-46701) arises because the MCP SSE server uses an empty secret by default if the environment variable NETWORK_AI_MCP_SECRET is not set. This causes the authorization function to unconditionally return true, effectively disabling authorization. Additionally, the server sets Access-Control-Allow-Origin to '*', allowing cross-origin browser requests to read responses without restriction. An attacker can exploit this by tricking a user into visiting a malicious webpage, which can then invoke any of the 22 exposed MCP tools, including sensitive operations like config_set, agent_spawn, and blackboard_write, on a localhost server with default configuration. The vulnerability is fixed in version 5.4.5.
Potential Impact
An unauthenticated attacker can perform unauthorized actions on a default-configured localhost instance of Network-AI by exploiting the lack of authorization and permissive CORS policy. This can lead to unauthorized configuration changes, spawning of agents, and modification of internal blackboard data, impacting confidentiality, integrity, and availability at varying levels.
Mitigation Recommendations
Upgrade Network-AI to version 5.4.5 or later, where the issue is patched. Ensure that the environment variable NETWORK_AI_MCP_SECRET is set to a non-empty secret to enforce proper authorization. No other mitigation is indicated by the vendor advisory.
CVE-2026-46701: CWE-346: Origin Validation Error in Jovancoding Network-AI
Description
Network-AI is a TypeScript/Node.js multi-agent orchestrator. Prior to version 5.4.5, the MCP SSE server defaults to an empty secret (`process.env['NETWORK_AI_MCP_SECRET'] ?? ''` at `bin/mcp-server.ts:89`), which causes `_isAuthorized` (`lib/mcp-transport-sse.ts:254`) to return `true` unconditionally for every request — no `Authorization` header is required. Simultaneously, `_handleRequest` sets `Access-Control-Allow-Origin: *` (`lib/mcp-transport-sse.ts:272`) on every response, so a cross-origin browser fetch can read the result without restriction. An unauthenticated attacker who can lure a user to a malicious web page can invoke all 22 exposed MCP tools — including `config_set`, `agent_spawn`, and `blackboard_write` — against a default-configured localhost server. Version 5.4.5 patches the issue.
CVSS v3.1
Score 7.6high
Affected software
pkg:github/jovancoding/Network-AIRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability in Jovancoding Network-AI (CVE-2026-46701) arises because the MCP SSE server uses an empty secret by default if the environment variable NETWORK_AI_MCP_SECRET is not set. This causes the authorization function to unconditionally return true, effectively disabling authorization. Additionally, the server sets Access-Control-Allow-Origin to '*', allowing cross-origin browser requests to read responses without restriction. An attacker can exploit this by tricking a user into visiting a malicious webpage, which can then invoke any of the 22 exposed MCP tools, including sensitive operations like config_set, agent_spawn, and blackboard_write, on a localhost server with default configuration. The vulnerability is fixed in version 5.4.5.
Potential Impact
An unauthenticated attacker can perform unauthorized actions on a default-configured localhost instance of Network-AI by exploiting the lack of authorization and permissive CORS policy. This can lead to unauthorized configuration changes, spawning of agents, and modification of internal blackboard data, impacting confidentiality, integrity, and availability at varying levels.
Mitigation Recommendations
Upgrade Network-AI to version 5.4.5 or later, where the issue is patched. Ensure that the environment variable NETWORK_AI_MCP_SECRET is set to a non-empty secret to enforce proper authorization. No other mitigation is indicated by the vendor advisory.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-05-15T23:26:58.308Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a5e502f2a4a8d59895edd8f
Added to database: 07/20/2026, 16:43:27 UTC
Last enriched: 07/20/2026, 16:56:50 UTC
Last updated: 07/21/2026, 05:54:56 UTC
Views: 12
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
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
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.