reverse-skills-max: initial public release (restored, redacted, hardened)
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Apache License 2.0 — see the repository root LICENSE file for the full text.
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Copyright the AnalystAIPack contributors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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---
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name: triaging-an-unknown-sample
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description: 'Performs fast first-pass triage of an unknown file to decide depth of analysis:
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file type identification, hashing, reputation lookup, packing/entropy check, and string
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review. Activates for requests to triage, classify, or do initial assessment of an unknown
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or suspicious file.'
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domain: cybersecurity
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subdomain: lab-foundations
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tags:
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- malware
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- triage
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- file-identification
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- entropy
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- strings
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- reputation
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version: 1.0.0
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author: analyst-ai-pack
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license: Apache-2.0
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mitre_attack:
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- T1027
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- T1140
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d3fend:
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- D3-FA
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- D3-FCR
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references:
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- 'file/libmagic — https://man7.org/linux/man-pages/man1/file.1.html'
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- 'VirusTotal API documentation — https://docs.virustotal.com/reference/overview'
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---
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# Triaging an Unknown Sample
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## When to Use
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- A suspicious file has arrived and you need to quickly decide whether it warrants deep
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static/dynamic analysis or can be dismissed.
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- You want a structured first-pass record (type, hashes, packing, notable strings) before
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committing analyst time.
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- You are batch-triaging many files and need to rank them by suspicion.
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**Do not use** triage results as a final verdict. A clean string review or unknown reputation
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does not mean benign; it means proceed to deeper analysis.
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## Prerequisites
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- `file` (libmagic) for type identification, or the bundled magic-based detection.
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- Optional VirusTotal API key for reputation (hash lookups only — never upload someone
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else's data without authorization).
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- The sample in a neutralized, non-executable form inside the lab.
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## Safety & Handling
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- Triage is **static**: read bytes, never execute. Keep the sample with a neutralized
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extension.
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- Submit only the **hash** to reputation services unless you have authorization to upload the
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file itself; uploads can expose sensitive or attributable data.
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## Workflow
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### Step 1: Identify the true file type
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Do not trust the extension. Identify by magic bytes:
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```bash
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python scripts/analyst.py triage sample.bin
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# reports: detected type, magic, hashes, entropy, suspicious strings
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```
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A `.pdf` that is really a PE, or a `.jpg` that is a script, is itself a finding.
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### Step 2: Hash and check reputation
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Compute the SHA-256 and look it up (hash-only) to see if it is known:
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```bash
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python scripts/analyst.py reputation --sha256 <sha256> --vt-key $VT_API_KEY
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```
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Known-bad with many detections → escalate. Unknown → continue triage; absence of detections
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is not exoneration.
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### Step 3: Estimate packing via entropy
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High, uniform entropy across the whole file or a code section suggests packing or encryption:
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```text
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entropy ~7.9 / 8.0 over most of the file -> likely packed/encrypted
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mixed entropy with readable strings -> likely unpacked
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```
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### Step 4: Skim strings for quick signal
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Look for URLs, IPs, registry paths, suspicious API names, and embedded PE headers (`MZ`).
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The script extracts and categorizes printable strings.
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### Step 5: Decide and record
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Classify as: dismiss, deep static, or detonate. Emit a triage record for the case file.
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## Validation
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- The detected type matches the file's structure (e.g. PE confirmed by `MZ`/`PE\0\0`).
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- Entropy reading is consistent with the strings observed (packed files yield few readable
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strings).
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- The triage record captures type, hashes, entropy, reputation, and the escalation decision.
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## Pitfalls
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- Equating "0 detections on VirusTotal" with benign — fresh or targeted malware is often
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unknown.
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- Treating high entropy alone as proof of malice; installers and compressed media are also
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high-entropy. Combine signals.
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- Uploading samples to third parties without authorization, leaking sensitive data.
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- Stopping at triage for a file that is clearly suspicious but "not yet detected."
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## References
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- See [`references/api-reference.md`](references/api-reference.md) for the triage tool and
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scoring logic.
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- libmagic and VirusTotal API documentation (linked in frontmatter).
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# API Reference: Triaging an Unknown Sample
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## Overview
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`scripts/analyst.py` performs static first-pass triage: magic-byte type identification,
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hashing, Shannon entropy (packing signal), categorized strings, and a simple suspicion
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score with an escalation recommendation. An optional VirusTotal hash lookup adds reputation.
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## Dependencies
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| Package | Version | Purpose |
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|---------|---------|---------|
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| (stdlib) | — | Hashing, entropy, regex, optional `urllib` for VT |
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## External tools
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| Tool | Purpose |
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|------|---------|
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| file / libmagic | Authoritative type identification beyond the built-in magic set |
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| VirusTotal API | Hash reputation (lookup only; no upload) |
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## Core functions
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### `triage(filepath)`
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Returns type, size, sha256, entropy, `likely_packed`, `embedded_pe`, suspicious strings,
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a `triage_score`, and a `recommendation` (`low-signal` / `review` / `deep-analysis`).
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### `shannon_entropy(data)`
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Byte-level Shannon entropy in bits (0–8). Values above ~7.2 suggest packing/encryption.
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### `identify(data)`
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Magic-byte file-type label.
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### `reputation(sha256, vt_key)`
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Looks up a hash on VirusTotal v3 and returns `last_analysis_stats`. Never uploads the file.
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## Usage
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```bash
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python scripts/analyst.py triage sample.bin
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python scripts/analyst.py reputation --sha256 <sha256> --vt-key "$VT_API_KEY"
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```
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## Sources
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- file(1) / libmagic manual — https://man7.org/linux/man-pages/man1/file.1.html
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- VirusTotal API v3 reference — https://docs.virustotal.com/reference/overview
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- Shannon entropy as a packing indicator (information theory; standard practice)
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#!/usr/bin/env python3
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"""First-pass triage for an unknown file: type, hashes, entropy, and strings.
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Pure static analysis on file bytes. Optionally checks a hash against VirusTotal if a key is
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provided (hash lookup only; it never uploads the file). It never executes the sample.
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"""
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from __future__ import annotations
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import argparse
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import hashlib
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import json
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import math
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import re
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import sys
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from collections import Counter
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from pathlib import Path
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# magic-byte signatures -> label
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_MAGIC = [
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(b"MZ", "PE/DOS executable"),
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(b"\x7fELF", "ELF executable"),
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(b"\xca\xfe\xba\xbe", "Mach-O (fat) / Java class"),
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(b"\xfe\xed\xfa", "Mach-O"),
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(b"%PDF", "PDF document"),
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(b"PK\x03\x04", "ZIP/OOXML/JAR archive"),
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(b"\xd0\xcf\x11\xe0", "OLE2 (legacy Office)"),
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(b"Rar!", "RAR archive"),
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(b"\x1f\x8b", "gzip"),
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]
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_SUSPICIOUS = re.compile(
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rb"(https?://|cmd\.exe|powershell|VirtualAlloc|CreateRemoteThread|WScript|"
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rb"RegSetValue|URLDownloadToFile|\\\\\.\\pipe\\|-enc |FromBase64String)",
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re.I,
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)
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def shannon_entropy(data: bytes) -> float:
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if not data:
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return 0.0
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counts = Counter(data)
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length = len(data)
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return -sum((c / length) * math.log2(c / length) for c in counts.values())
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def identify(data: bytes) -> str:
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for magic, label in _MAGIC:
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if data.startswith(magic):
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return label
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return "unknown"
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def extract_strings(data: bytes, minlen: int = 5) -> list[str]:
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found = re.findall(rb"[\x20-\x7e]{%d,}" % minlen, data)
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return [s.decode("ascii", "replace") for s in found]
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def suspicious_strings(data: bytes) -> list[str]:
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return sorted({m.group(0).decode("ascii", "replace") for m in _SUSPICIOUS.finditer(data)})
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def triage(filepath: str | Path) -> dict:
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data = Path(filepath).read_bytes()
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ent = shannon_entropy(data)
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sus = suspicious_strings(data)
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embedded_pe = data.count(b"MZ") > 1
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score = 0
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score += 2 if ent > 7.2 else 0
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score += 2 if sus else 0
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score += 2 if embedded_pe else 0
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verdict = "deep-analysis" if score >= 4 else "review" if score >= 2 else "low-signal"
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return {
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"file": str(filepath),
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"type": identify(data),
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"size": len(data),
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"sha256": hashlib.sha256(data).hexdigest(),
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"entropy": round(ent, 3),
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"likely_packed": ent > 7.2,
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"embedded_pe": embedded_pe,
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"suspicious_strings": sus,
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"triage_score": score,
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"recommendation": verdict,
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}
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def reputation(sha256: str, vt_key: str) -> dict:
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try:
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import urllib.request
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req = urllib.request.Request(
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f"https://www.virustotal.com/api/v3/files/{sha256}",
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headers={"x-apikey": vt_key},
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)
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with urllib.request.urlopen(req, timeout=20) as resp: # noqa: S310
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body = json.loads(resp.read())
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stats = body["data"]["attributes"]["last_analysis_stats"]
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return {"sha256": sha256, "found": True, "stats": stats}
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except Exception as exc: # noqa: BLE001 - report, do not crash triage
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return {"sha256": sha256, "found": False, "error": str(exc)}
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def main(argv: list[str] | None = None) -> int:
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parser = argparse.ArgumentParser(description="Triage an unknown sample")
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sub = parser.add_subparsers(dest="cmd", required=True)
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p_tri = sub.add_parser("triage", help="static triage of a file")
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p_tri.add_argument("file")
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p_rep = sub.add_parser("reputation", help="VirusTotal hash lookup")
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p_rep.add_argument("--sha256", required=True)
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p_rep.add_argument("--vt-key", required=True)
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args = parser.parse_args(argv)
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if args.cmd == "triage":
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print(json.dumps(triage(args.file), indent=2))
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elif args.cmd == "reputation":
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print(json.dumps(reputation(args.sha256, args.vt_key), indent=2))
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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