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Input validation vulnerabilities in software packages typically occur when an application fails to properly sanitize, filter, or check data received from untrusted sources before processing it. In the context of Model Context Protocol (MCP) servers and tool integrations like mcp-shodan, unvalidated inputs can allow malicious users or automated processes to inject unexpected payloads, manipulate parameters, or cause application instability. When input parameters—such as IP addresses, search queries, or configuration tokens—are accepted without strict length, type, or format constraints, downstream components may execute unintended logic or mishandle the malformed data. The recent 1.0.147 release addresses these shortcomings by enforcing strict checks on incoming arguments, ensuring that unexpected or malformed inputs are rejected safely before reaching core processing modules. Furthermore, logging cleanup ensures that sensitive or invalid input strings are not improperly exposed or unnecessarily bloated within application logs, mitigating secondary information disclosure risks.
DailyCVE Form:
Platform: GitHub mcp-shodan repo
Version: Version 1.0.147
Vulnerability: Input validation flaw
Severity: Medium risk level
date: October 17, 2026
Prediction: Already patched version
What Undercode Say:
git clone https://github.com/Alessia8476/mcp-shodan.git cd mcp-shodan npm install npm run build
// Example secure input validation check snippet
function validateInput(input: string): boolean {
if (!input || typeof input !== 'string') return false;
const sanitized = input.trim();
return /^[a-zA-Z0-9_.-]+$/.test(sanitized);
}
Exploit: (Educational Purposes!)
Simulating malformed payload injection into unvalidated parameters
curl -X POST http://localhost:3000/mcp -d '{"tool": "ip_lookup", "ip": "../../../etc/passwd"}'
Protection: from this CVE
Update the mcp-shodan repository to version 1.0.147 or later.
Implement rigorous input sanitization and regular expression matching for all user-supplied parameters.
Review application logging mechanisms to prevent sensitive data leakage.
Impact:
Potential unauthorized command or parameter execution if inputs are unconstrained.
Risk of application crashes or unexpected server behaviors due to malformed payloads.
Exposure of internal application states through uncleaned error and log outputs.
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Sources:
Reported By: github.com
Extra Source Hub:
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