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YARA Rule Generator MCP
x402
YARA Rule Generator MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.15/call, status unknown (last checked 2026-10-12).
Generates YARA rules for malware detection and threat hunting from provided threat intelligence or sample data
Price / call$0.15
Success—
StatusUnknown
How this service works
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Output
A complete, syntactically valid YARA rule as text, including rule name, metadata section, strings section with named pattern variables, and a condition block that logically combines the provided indicators for use in malware scanning or threat hunting tools.
Example use cases
Ransomware family detection rule
“I need a YARA rule to detect samples from the LockBit ransomware family — they typically have the mutex name 'Global\{1CD26839-FC9D-4C1E-BBEE-A0A0A57D2DDB}' and drop a file called 'Restore-My-Files.txt'. Can you generate a YARA rule that catches these indicators?”
Phishing dropper hunting rule
“Create a YARA rule for hunting phishing droppers that contain the string 'invoice_2024' in their PE resources, use base64-encoded PowerShell commands, and have a file size under 500KB.”
APT implant detection signature
“Write a YARA rule to detect a suspected APT implant that uses RC4 encryption, has the export function name 'InitPlugin', and contains the hardcoded C2 URL pattern 'updates.microsoftonline-cdn.com' somewhere in its binary data.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/yara-rule-generator-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to rapidly generate YARA detection rules from threat intelligence, malware sample descriptions, or IOC data without manually writing rule syntax. Ideal for SOC analysts, threat hunters, and security automation pipelines that need to operationalize indicators into scannable signatures quickly. Prefer this over manual rule writing when speed and automation are priorities.
Side effects
- Insufficient or ambiguous input data may produce overly generic rules with high false-positive rates
- Input that doesn't describe any detectable patterns may return an empty or trivial rule
- Malformed or contradictory indicator data may result in syntactically invalid YARA output
- Very complex multi-stage malware descriptions may exceed the model's context and produce incomplete rules
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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