reverse-skills-max: initial public release (restored, redacted, hardened)
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# API Reference: Detecting Process Injection in Memory
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## Overview
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`scripts/analyst.py` parses Volatility 3 `windows.malfind` text output and ranks processes by
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injection indicators: RWX private regions, PE/MZ headers and DOS stubs in private memory, and
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shellcode prologue bytes in the hexdump. It parses text only and executes nothing.
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## Dependencies
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| Package | Version | Purpose |
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|---------|---------|---------|
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| (stdlib) | — | regex, JSON, file IO |
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| volatility3 | latest | produces the `windows.malfind` input (run separately) |
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## Core functions
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### `score(path)`
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Returns ranked injection candidates with PID, cumulative score, and contributing reasons.
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## Scoring weights
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- RWX region: +3
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- PE/MZ in private memory: +3
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- DOS stub ("This program cannot be run"): +2
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- Shellcode prologue bytes: +1
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## Usage
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```bash
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vol -f memory.raw windows.malfind > malfind.txt
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python scripts/analyst.py score malfind.txt
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```
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## Sources
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- MITRE ATT&CK T1055 Process Injection — https://attack.mitre.org/techniques/T1055/
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- Volatility 3 documentation (windows.malfind, windows.vadinfo) — https://volatility3.readthedocs.io/
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- malfind RWX / private-memory PE heuristics from published memory-forensics practice
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