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Complete skill folder anatomy across all cybersecurity skills: - scripts/agent.py: 80-150 line Python agents using real libraries (impacket, boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.) - references/api-reference.md: real API documentation with method signatures - LICENSE: MIT license for all skill folders
1.6 KiB
1.6 KiB
API Reference: Implementing API Threat Protection with Apigee
JSONThreatProtection Policy
<JSONThreatProtection name="JSON-Threat">
<ObjectEntryCount>25</ObjectEntryCount>
<ArrayElementCount>100</ArrayElementCount>
<ContainerDepth>5</ContainerDepth>
<StringValueLength>500</StringValueLength>
<Source>request</Source>
</JSONThreatProtection>
SpikeArrest Policy
<SpikeArrest name="Spike-Arrest">
<Rate>30ps</Rate>
<Identifier ref="request.header.x-api-key"/>
</SpikeArrest>
RegularExpressionProtection
<RegularExpressionProtection name="Regex-Protect">
<Source>request</Source>
<QueryParam name="*">
<Pattern>[\s]*((delete)|(exec)|(drop\s*table))</Pattern>
</QueryParam>
</RegularExpressionProtection>
Apigee Management API
# Deploy proxy revision
curl -X POST "https://apigee.googleapis.com/v1/organizations/{org}/environments/{env}/apis/{api}/revisions/{rev}/deployments" \
-H "Authorization: Bearer $(gcloud auth print-access-token)"
# List deployed proxies
curl "https://apigee.googleapis.com/v1/organizations/{org}/apis" \
-H "Authorization: Bearer $(gcloud auth print-access-token)"
Recommended Policy Limits
| Setting | Recommended | Description |
|---|---|---|
| ContainerDepth | 5 | JSON nesting depth |
| StringValueLength | 500 | Max string value |
| ObjectEntryCount | 25 | Max object keys |
| SpikeArrest Rate | 30ps | Requests per second |
References
- Apigee Policies: https://cloud.google.com/apigee/docs/api-platform/reference/policies
- Apigee Security: https://cloud.google.com/apigee/docs/api-platform/security