Dynamic malware analysis
Skill ShulkwiSEC/bb-huge/skills/curated/dynamic-malware-analysis
Execute and analyze malware samples within a highly controlled, instrumented sandbox environment to observe their true behavior, network communications, file system modifications, and registry changes in real-time.From its SKILL.md
npx -y skills add ShulkwiSEC/bb-huge --skill dynamic-malware-analysisAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 18 stars18 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its file declares
Copied from the file, not written here
The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
4.0 KB, 843 tokens by cl100k_base, as published. Nobody here has run it
Dynamic Malware Analysis
When to Use
- When static analysis (examining the code without running it) is insufficient because the malware is heavily packed, encrypted, or obfuscated.
- To rapidly understand the "blast radius" of a malicious payload (What files does it drop? What domains does it contact? What persistence mechanisms does it establish?).
- When you need to extract decryption keys, Command & Control (C2) configurations, or secondary stage payloads that are only unlocked during runtime.
Prerequisites
- Isolated analysis environment (VM with snapshot capability)
- Sample file safely obtained and handled with appropriate precautions
- PE analysis tools (PE-bear, CFF Explorer, Detect It Easy) installed
- Disassembler/decompiler (Ghidra, IDA Free, or Binary Ninja) configured
Workflow
Phase 1: The Sandbox Environment (CRITICAL)
# Concept: NEVER run malware Setup 1. 2. 3. 4. ```
### Phase 2: Instrumentation (Setting the Traps)
```text
# Before detonation 1. Process Monitor (Procmon) 2. Wireshark 3. FakeNet / INetSim # ```
### Phase 3: Detonation and Observation
```bash
# # ```
### Phase 4: Analysis (Connecting the Dots)
```text
# 1. Behavioral 2. Network ```
#### Decision Point 🔀
```mermaid
flowchart TD
A[Prepare Sandbox reliably ] --> B[Enable ]
B --> C{Does ]}
C -->|Yes| D[Log ]
C -->|No| E[Check ]
D --> F[Analyze ]
🔵 Blue Team Detection & Defense
- Indicator of Compromise (IoC) Generation: The Behavioral Analytics: EDR Sandbox Evasion Detection: Malware Key Concepts | Concept | Description | |---------|-------------|
Output Format
Dynamic Malware Analysis — Assessment Report
============================================================
Target: [Target identifier]
Assessor: [Operator name]
Date: [Assessment date]
Scope: [Authorized scope]
MITRE ATT&CK: [Relevant technique IDs]
Findings Summary:
[Finding 1]: [Severity] — [Brief description]
[Finding 2]: [Severity] — [Brief description]
Detailed Results:
Phase 1: [Phase name]
- Result: [Outcome]
- Evidence: [Screenshot/log reference]
- Impact: [Business impact assessment]
Phase 2: [Phase name]
- Result: [Outcome]
- Evidence: [Screenshot/log reference]
- Impact: [Business impact assessment]
Risk Rating: [Critical/High/Medium/Low/Informational]
Recommendations:
1. [Immediate remediation step]
2. [Long-term hardening measure]
3. [Monitoring/detection improvement]
📚 Shared Resources
For cross-cutting methodology applicable to all vulnerability classes, see:
_shared/references/elite-chaining-strategy.md— Exploit chaining methodology and high-payout chain patterns_shared/references/elite-report-writing.md— HackerOne-optimized report writing, CWE quick reference_shared/references/real-world-bounties.md— Verified disclosed bounties by vulnerability class
References
- SANS: FOR610: Reverse-Engineering Malware
- REMnux: A Toolkit for Malware Analysts
- Mandiant: Flare-VM
What ships with it: 2 files
8.3 KB alongside SKILL.md, 1 of them executable
evals/
- evals.json534 B
scripts/
- process.pyruns7.8 KB