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mukul975
8cae0648ec
Demand-driven expansion targeting the fastest-growing 2025-2026 threat and
skills categories (ISC2/WEF/CrowdStrike/Mandiant signals):
- AI Security (NEW domain, 12 skills): LLM red-teaming with garak/PyRIT,
prompt injection (direct/indirect/RAG), MCP tool-poisoning, agentic tool
invocation, guardrails, model/data poisoning, system-prompt leakage,
embedding/vector weaknesses, model extraction, continuous red-teaming
- Supply Chain Security (NEW domain, 5 skills): SBOMs, dependency confusion,
malicious-npm triage, typosquatting, SLSA/Sigstore provenance
- Hardware & Firmware Security (NEW domain, 4 skills): CHIPSEC/UEFI audit,
Secure Boot bypass, TPM measured-boot attestation, ESP bootkit hunting
- Identity (10): Entra ID/ROADtools, GraphRunner, AADInternals, ADCS/Certipy,
shadow credentials, coercion, BloodHound CE, device-code phishing, SSO abuse
- Cloud-native (8): Stratus, Pacu, CloudFox, container escape, K8s RBAC,
Falco, Trivy, kube-bench
- Offensive C2 (6): Sliver, Havoc, NetExec, DPAPI, NTLM relay ESC8, redirectors
- DFIR (6): Hayabusa, Chainsaw, KAPE, Velociraptor, EZ Tools, Plaso
- Backfill (4): OpenCTI, MISP, honeytokens, post-quantum crypto migration
Each skill follows the repo taxonomy (SKILL.md + references/{standards,api-reference}.md
+ scripts/agent.py + LICENSE), with researched real tool commands (no placeholders),
complete frontmatter, and ATT&CK/ATLAS + NIST CSF mappings. Updates README domain
table, skill count, and index.json.
74 lines
2.2 KiB
Markdown
74 lines
2.2 KiB
Markdown
# Plaso / log2timeline Command Reference
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Plaso ships four CLI tools. Run them directly or via the Docker image
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(`log2timeline/plaso`).
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## log2timeline.py (extraction)
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| Flag | Purpose |
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|------|---------|
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| `--storage-file <file>` | Output `.plaso` storage file |
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| `<source>` | Source: `.E01`, raw image, mount point, directory, device |
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| `--parsers <list>` | Restrict parsers (presets `win7`, `webhist`, etc.; `!name` excludes) |
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| `--partitions <spec>` | Select partitions (e.g. `all`) |
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| `--vss-stores <spec>` | Process Volume Shadow Copies |
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| `--hashers <list>` | Compute file hashes (e.g. `sha256`) |
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| `-z <tz>` | Source timezone |
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| `--workers <n>` | Number of extraction workers |
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```bash
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log2timeline.py --storage-file timeline.plaso /cases/image.E01
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log2timeline.py --parsers "win7,!filestat" --storage-file timeline.plaso /cases/image.E01
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```
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## pinfo.py (inspect)
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```bash
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pinfo.py timeline.plaso # summary
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pinfo.py -v timeline.plaso # verbose
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```
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## psort.py (post-process / export)
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| Flag | Purpose |
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|------|---------|
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| `-o <module>` | Output module: `l2tcsv`, `json_line`, `dynamic`, `elastic`, `timesketch` |
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| `-w <file>` | Write output to file |
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| `--output-time-zone <tz>` | Normalize output timezone (e.g. `UTC`) |
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| `<storage>` | The `.plaso` file |
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| `"<filter>"` | Event filter expression (trailing argument) |
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```bash
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psort.py --output-time-zone 'UTC' -o l2tcsv -w supertimeline.csv timeline.plaso \
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"date > datetime('2026-01-01T00:00:00') AND date < datetime('2026-01-27T00:00:00')"
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psort.py --output-time-zone 'UTC' -o json_line -w supertimeline.jsonl timeline.plaso
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```
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## psteal.py (extract + export wrapper)
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```bash
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psteal.py --source /cases/image.E01 -o l2tcsv -w supertimeline.csv
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```
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## Common event filter fields
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| Field | Example |
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|-------|---------|
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| `date` | `date > datetime('2026-01-01T00:00:00')` |
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| `data_type` | `data_type == 'windows:evtx:record'` |
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| `parser` | `parser contains 'winreg'` |
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| `timestamp_desc` | `timestamp_desc contains 'Creation'` |
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## Timesketch import
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```bash
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timesketch_importer \
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--host http://127.0.0.1:5000 \
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--username admin \
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--timeline_name "host01" \
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--sketch_id 1 \
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timeline.plaso
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```
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`timesketch_importer` accepts `.plaso`, `.csv`, and `.jsonl` inputs.
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