mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
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24f816b6a3
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
1.4 KiB
1.4 KiB
API Reference: Hunting Credential Stuffing Attacks
Pandas Authentication Log Analysis
import pandas as pd
df = pd.read_csv("auth_logs.csv", parse_dates=["timestamp"])
# Columns: timestamp, username, source_ip, status, user_agent
# Failed logins per IP
df[df["status"] == "failed"].groupby("source_ip")["username"].nunique()
# Failed logins per account (distributed attack)
df[df["status"] == "failed"].groupby("username")["source_ip"].nunique()
# Login velocity (attempts per minute)
df.set_index("timestamp").resample("1min").count()
Detection Thresholds
| Indicator | Threshold | Attack Type |
|---|---|---|
| Unique accounts per IP | > 20 | Credential stuffing |
| Unique IPs per account | > 5 | Distributed attack |
| Attempts/account ratio | ~1 | Password spray |
| Success after N failures | N > 5 | Account compromise |
| Single UA > 30% of failures | > 50 events | Automated tool |
Splunk SPL Patterns
--- Credential stuffing detection
index=auth status=failed
| stats dc(username) as accounts, count by src_ip
| where accounts > 20
--- Password spray detection
index=auth status=failed
| stats dc(username) as accounts, count by src_ip
| where accounts > 10 AND count <= accounts * 3
References
- OWASP Credential Stuffing: https://owasp.org/www-community/attacks/Credential_stuffing
- Splunk auth analysis: https://docs.splunk.com/Documentation/ES
- pandas: https://pandas.pydata.org/docs/