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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
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1.5 KiB
API Reference: Cloud Storage Access Pattern Analysis
AWS CLI - CloudTrail Lookup
aws cloudtrail lookup-events \
--lookup-attributes AttributeKey=ResourceType,AttributeValue=AWS::S3::Object \
--start-time 2024-01-15T00:00:00Z \
--output json
CloudTrail S3 Data Event Structure
{
"EventTime": "2024-01-15T10:30:00Z",
"EventName": "GetObject",
"Username": "analyst",
"CloudTrailEvent": "{\"sourceIPAddress\":\"10.0.0.1\",\"userAgent\":\"aws-cli\",\"requestParameters\":{\"bucketName\":\"data\",\"key\":\"file.csv\"},\"userIdentity\":{\"arn\":\"arn:aws:iam::123:user/analyst\"}}"
}
Key S3 Event Names
| Event | Meaning |
|---|---|
| GetObject | Object download |
| PutObject | Object upload |
| DeleteObject | Object deletion |
| ListBucket / ListObjectsV2 | Bucket enumeration |
| GetBucketPolicy | Policy read |
| PutBucketPolicy | Policy modification |
Detection Thresholds
| Anomaly | Threshold | Severity |
|---|---|---|
| Bulk download | >100 GetObject/hr per user | Critical |
| After-hours | Access outside 08:00-18:00 UTC | Medium |
| New source IP | IP not in 30-day baseline | High |
| Enumeration | >20 ListBucket per user | High |
boto3 CloudTrail Client (alternative)
import boto3
client = boto3.client("cloudtrail")
response = client.lookup_events(
LookupAttributes=[{"AttributeKey":"ResourceType","AttributeValue":"AWS::S3::Object"}],
StartTime=datetime(2024,1,15),
MaxResults=50
)
events = response["Events"]