mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
dispatch, A51 channels, and the OSINT cluster
- knowledge/ LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
MITRE ATT&CK data
- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.
Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.
https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
1.5 KiB
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"]