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
2.6 KiB
API Reference: Memory Dump Credential Extraction Agent
Dependencies
| Library | Version | Purpose |
|---|---|---|
| volatility3 | >=2.0 | Memory forensics framework (invoked via subprocess) |
| pypykatz | >=0.6 | Python Mimikatz for LSASS credential extraction |
CLI Usage
python scripts/agent.py \
--dump /cases/case-001/memory.raw \
--output-dir /cases/case-001/analysis/ \
--output credential_report.json
Functions
verify_dump(dump_path) -> dict
Checks file existence, computes size and SHA-256 of first 1MB for integrity.
run_vol3(dump_path, plugin, extra_args) -> str
Executes a volatility3 plugin via subprocess with 5-minute timeout. Returns stdout.
get_os_info(dump_path) -> dict
Runs windows.info to identify OS version and build from the memory image.
find_lsass_pid(dump_path) -> int
Runs windows.pslist and locates the LSASS process PID.
extract_hashdump(dump_path) -> list
Runs windows.hashdump to extract SAM database NTLM hashes for local accounts.
extract_lsadump(dump_path) -> list
Runs windows.lsadump to extract LSA secrets (service account passwords).
extract_cachedump(dump_path) -> list
Runs windows.cachedump to extract DCC2 cached domain credential hashes.
run_pypykatz(dump_path, output_dir) -> dict
Invokes pypykatz in JSON mode against LSASS minidump or full memory image.
parse_pypykatz_creds(pypykatz_data) -> list
Parses pypykatz JSON output into structured credential list with NTLM, Kerberos, WDigest, DPAPI.
search_cloud_keys(dump_path) -> list
Uses windows.strings to find AWS keys, JWT tokens, and auth strings in memory.
generate_report(dump_path, output_dir) -> dict
Orchestrates all extraction steps and compiles the final report with summary and actions.
Volatility3 Plugins Used
| Plugin | Purpose |
|---|---|
windows.info |
OS identification |
windows.pslist |
Process listing (find LSASS PID) |
windows.hashdump |
SAM hash extraction |
windows.lsadump |
LSA secret extraction |
windows.cachedump |
Cached domain credential extraction |
windows.strings |
String search for cloud keys and tokens |
Output Schema
{
"source": "/cases/memory.raw",
"sam_hashes": [{"user": "Administrator", "rid": 500, "ntlm_hash": "fc52..."}],
"lsass_creds": [{"user": "CORP\\admin", "cred_types": [{"type": "NTLM", "hash": "..."}]}],
"cloud_keys": [{"type": "AWS Access Key", "value": "AKIA..."}],
"summary": {"sam_hashes": 4, "lsass_creds": 3, "cloud_keys": 1},
"actions": ["Reset passwords for all local accounts..."]
}