Add folder anatomy (scripts/agent.py + references/api-reference.md) for 648 cybersecurity skills

Complete skill folder anatomy across all cybersecurity skills:
- scripts/agent.py: 80-150 line Python agents using real libraries (impacket,
  boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.)
- references/api-reference.md: real API documentation with method signatures
- LICENSE: MIT license for all skill folders
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MIT License
Copyright (c) 2025 Anthropic Agent Skills Contributors
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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# API Reference: Performing Dynamic Analysis with ANY.RUN
## ANY.RUN API v1
| Endpoint | Method | Description |
|----------|--------|-------------|
| `/v1/analysis` | POST | Submit file or URL for analysis |
| `/v1/analysis/{taskid}` | GET | Get full analysis report |
| `/v1/analysis/{taskid}/ioc` | GET | Get extracted IOCs |
| `/v1/analysis/{taskid}/download/{type}` | GET | Download PCAP, screenshots, or dropped files |
## Submission Parameters
| Parameter | Type | Description |
|-----------|------|-------------|
| `file` | file | Malware sample to analyze (multipart upload) |
| `obj_url` | string | URL to analyze in browser |
| `env_os` | string | OS: `windows-7`, `windows-10`, `windows-11` |
| `env_bitness` | int | Architecture: 32 or 64 |
| `opt_privacy_type` | string | `public`, `private`, or `bylink` |
| `opt_timeout` | int | Analysis timeout in seconds (60-660) |
| `opt_network_connect` | bool | Allow internet access during analysis |
| `opt_network_fakenet` | bool | Use fake network services |
## Report Structure
| Field | Description |
|-------|-------------|
| `analysis.scores.verdict` | Overall verdict and threat level |
| `analysis.processes[]` | Process tree with command lines |
| `analysis.network.dnsRequests[]` | DNS queries made by sample |
| `analysis.network.httpRequests[]` | HTTP requests with URLs and methods |
| `analysis.network.connections[]` | TCP/UDP connections |
| `analysis.mitre[]` | Mapped MITRE ATT&CK techniques |
| `analysis.tags[]` | Malware family and behavior tags |
## Official Python SDK (anyrun-sdk)
| Class / Method | Description |
|----------------|-------------|
| `SandboxConnector.windows(api_key)` | Create sandbox connector for Windows analysis (context manager) |
| `SandboxConnector.linux(api_key)` | Create sandbox connector for Linux analysis (context manager) |
| `connector.run_file_analysis(filepath)` | Submit local file, returns `analysis_id` |
| `connector.run_url_analysis(url)` | Submit URL for browser analysis, returns `analysis_id` |
| `connector.get_task_status(analysis_id)` | Generator yielding status updates until completion |
| `connector.get_analysis_verdict(analysis_id)` | Returns verdict string (malicious/suspicious/clean) |
| `connector.get_analysis_report(analysis_id)` | Returns full analysis report dict |
## Key Libraries
- **anyrun-sdk** (`pip install anyrun-sdk`): Official ANY.RUN Python SDK with `SandboxConnector`
- **requests** (`pip install requests`): HTTP client for REST API fallback
- **time** (stdlib): Polling for analysis completion
- **json** (stdlib): Parse and export analysis results
## Configuration
| Variable | Description |
|----------|-------------|
| `ANYRUN_API_KEY` | ANY.RUN API key (from account settings) |
## Rate Limits
| Plan | Submissions/Day | API Calls/Minute |
|------|-----------------|------------------|
| Free | 5 public | 10 |
| Hunter | Unlimited private | 60 |
| Enterprise | Unlimited | 120 |
## References
- [ANY.RUN API Documentation](https://any.run/api-documentation/)
- [ANY.RUN Public Reports](https://app.any.run/submissions)
- [MITRE ATT&CK](https://attack.mitre.org/)
- [ANY.RUN Blog](https://any.run/cybersecurity-blog/)
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#!/usr/bin/env python3
"""
Dynamic Analysis with ANY.RUN Agent
Submits malware samples to ANY.RUN sandbox via API, monitors task execution,
and retrieves behavioral analysis results including process trees, network
indicators, and MITRE ATT&CK mappings.
Supports both the official anyrun-sdk (pip install anyrun-sdk) with
SandboxConnector and the legacy REST API via requests.
"""
import json
import os
import sys
import time
from datetime import datetime, timezone
import requests
try:
from anyrun.connectors import SandboxConnector
HAS_ANYRUN_SDK = True
except ImportError:
HAS_ANYRUN_SDK = False
ANYRUN_API_BASE = "https://api.any.run/v1"
def submit_file(filepath: str, api_key: str, os_version: str = "windows-10",
privacy: str = "private", timeout_seconds: int = 120) -> dict:
"""Submit a file to ANY.RUN for dynamic analysis."""
if not os.path.exists(filepath):
return {"error": f"File not found: {filepath}"}
headers = {"Authorization": f"API-Key {api_key}"}
with open(filepath, "rb") as f:
files = {"file": (os.path.basename(filepath), f)}
data = {
"env_os": os_version,
"env_bitness": 64,
"env_type": "complete",
"opt_privacy_type": privacy,
"opt_timeout": timeout_seconds,
"opt_network_connect": True,
"opt_network_fakenet": False,
"opt_network_tor": False,
}
resp = requests.post(
f"{ANYRUN_API_BASE}/analysis",
headers=headers, files=files, data=data, timeout=60,
)
if resp.status_code in (200, 201):
result = resp.json()
return {
"task_id": result.get("data", {}).get("taskid", ""),
"status": "submitted",
"task_url": f"https://app.any.run/tasks/{result.get('data', {}).get('taskid', '')}",
}
return {"error": f"Submission failed: {resp.status_code} - {resp.text[:200]}"}
def submit_url(url: str, api_key: str, os_version: str = "windows-10") -> dict:
"""Submit a URL to ANY.RUN for dynamic analysis."""
headers = {"Authorization": f"API-Key {api_key}"}
data = {
"obj_url": url,
"env_os": os_version,
"env_bitness": 64,
"opt_privacy_type": "private",
"opt_timeout": 120,
"opt_network_connect": True,
}
resp = requests.post(
f"{ANYRUN_API_BASE}/analysis",
headers=headers, data=data, timeout=60,
)
if resp.status_code in (200, 201):
result = resp.json()
return {
"task_id": result.get("data", {}).get("taskid", ""),
"status": "submitted",
}
return {"error": f"URL submission failed: {resp.status_code}"}
def get_task_report(task_id: str, api_key: str) -> dict:
"""Retrieve the full analysis report for a completed task."""
headers = {"Authorization": f"API-Key {api_key}"}
resp = requests.get(
f"{ANYRUN_API_BASE}/analysis/{task_id}",
headers=headers, timeout=30,
)
if resp.status_code != 200:
return {"error": f"Report retrieval failed: {resp.status_code}"}
data = resp.json().get("data", {})
report = {
"task_id": task_id,
"verdict": data.get("analysis", {}).get("scores", {}).get("verdict", {}).get("verdict", "unknown"),
"threat_level": data.get("analysis", {}).get("scores", {}).get("verdict", {}).get("threatLevelText", ""),
"tags": data.get("analysis", {}).get("tags", []),
}
processes = data.get("analysis", {}).get("processes", [])
report["processes"] = []
for proc in processes:
report["processes"].append({
"pid": proc.get("pid", 0),
"name": proc.get("fileName", ""),
"command_line": proc.get("commandLine", "")[:200],
"parent_pid": proc.get("parentPID", 0),
"is_malicious": proc.get("scores", {}).get("verdict", {}).get("isMalicious", False),
})
network = data.get("analysis", {}).get("network", {})
report["network"] = {
"dns_requests": [
{"domain": d.get("domain", ""), "ip": d.get("ip", "")}
for d in network.get("dnsRequests", [])
],
"http_requests": [
{"url": h.get("url", ""), "method": h.get("method", ""), "status": h.get("status", 0)}
for h in network.get("httpRequests", [])
],
"connections": [
{"ip": c.get("ip", ""), "port": c.get("port", 0), "protocol": c.get("protocol", "")}
for c in network.get("connections", [])
],
}
mitre = data.get("analysis", {}).get("mitre", [])
report["mitre_techniques"] = [
{"technique_id": m.get("id", ""), "name": m.get("name", ""), "tactic": m.get("tactic", "")}
for m in mitre
]
return report
def wait_for_completion(task_id: str, api_key: str, max_wait: int = 300) -> dict:
"""Poll task status until analysis completes."""
headers = {"Authorization": f"API-Key {api_key}"}
start = time.time()
while time.time() - start < max_wait:
resp = requests.get(
f"{ANYRUN_API_BASE}/analysis/{task_id}",
headers=headers, timeout=30,
)
if resp.status_code == 200:
status = resp.json().get("data", {}).get("analysis", {}).get("status", "")
if status == "done":
return {"status": "completed", "elapsed": round(time.time() - start)}
if status == "failed":
return {"status": "failed", "elapsed": round(time.time() - start)}
time.sleep(15)
return {"status": "timeout", "elapsed": max_wait}
def get_iocs_from_report(report: dict) -> dict:
"""Extract IOCs from an ANY.RUN analysis report."""
iocs = {
"domains": set(),
"ips": set(),
"urls": set(),
"processes": [],
"mitre_techniques": [],
}
for dns_req in report.get("network", {}).get("dns_requests", []):
if dns_req.get("domain"):
iocs["domains"].add(dns_req["domain"])
if dns_req.get("ip"):
iocs["ips"].add(dns_req["ip"])
for http_req in report.get("network", {}).get("http_requests", []):
if http_req.get("url"):
iocs["urls"].add(http_req["url"])
for conn in report.get("network", {}).get("connections", []):
if conn.get("ip"):
iocs["ips"].add(conn["ip"])
for proc in report.get("processes", []):
if proc.get("is_malicious"):
iocs["processes"].append(proc["name"])
iocs["mitre_techniques"] = report.get("mitre_techniques", [])
iocs["domains"] = sorted(iocs["domains"])
iocs["ips"] = sorted(iocs["ips"])
iocs["urls"] = sorted(iocs["urls"])
return iocs
def generate_report(submission: dict, report: dict, iocs: dict) -> str:
"""Generate dynamic analysis report."""
lines = [
"DYNAMIC ANALYSIS REPORT (ANY.RUN)",
"=" * 50,
f"Date: {datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M UTC')}",
f"Task ID: {report.get('task_id', submission.get('task_id', 'N/A'))}",
f"Task URL: {submission.get('task_url', 'N/A')}",
"",
f"Verdict: {report.get('verdict', 'N/A')}",
f"Threat Level: {report.get('threat_level', 'N/A')}",
f"Tags: {', '.join(report.get('tags', []))}",
"",
f"PROCESSES ({len(report.get('processes', []))}):",
]
for proc in report.get("processes", [])[:10]:
mal = " [MALICIOUS]" if proc.get("is_malicious") else ""
lines.append(f" PID {proc['pid']}: {proc['name']}{mal}")
if proc.get("command_line"):
lines.append(f" CMD: {proc['command_line'][:100]}")
lines.extend([
"",
"NETWORK IOCs:",
f" Domains: {len(iocs.get('domains', []))}",
f" IPs: {len(iocs.get('ips', []))}",
f" URLs: {len(iocs.get('urls', []))}",
])
if iocs.get("mitre_techniques"):
lines.extend(["", "MITRE ATT&CK TECHNIQUES:"])
for tech in iocs["mitre_techniques"][:10]:
lines.append(f" {tech['technique_id']} - {tech['name']} ({tech['tactic']})")
return "\n".join(lines)
def run_with_sdk(api_key: str, target: str, is_url: bool) -> dict:
"""Use official anyrun-sdk (SandboxConnector) if available."""
with SandboxConnector.windows(api_key) as connector:
if is_url:
analysis_id = connector.run_url_analysis(target)
else:
analysis_id = connector.run_file_analysis(target)
print(f"[*] SDK analysis ID: {analysis_id}")
for status in connector.get_task_status(analysis_id):
print(f"[*] Status: {status}")
verdict = connector.get_analysis_verdict(analysis_id)
report = connector.get_analysis_report(analysis_id)
return {"analysis_id": analysis_id, "verdict": verdict, "report": report}
if __name__ == "__main__":
api_key = os.getenv("ANYRUN_API_KEY", "")
if not api_key:
print("[!] Set ANYRUN_API_KEY environment variable")
sys.exit(1)
if len(sys.argv) < 2:
print(f"Usage: {sys.argv[0]} <file_or_url> [--url]")
sys.exit(1)
target = sys.argv[1]
is_url = "--url" in sys.argv or target.startswith("http")
# Prefer official SDK when available, fall back to REST API
if HAS_ANYRUN_SDK:
print("[*] Using official anyrun-sdk (SandboxConnector)")
sdk_result = run_with_sdk(api_key, target, is_url)
print(json.dumps(sdk_result, indent=2, default=str))
sys.exit(0)
print("[*] anyrun-sdk not found, using REST API fallback")
if is_url:
print(f"[*] Submitting URL: {target}")
submission = submit_url(target, api_key)
else:
print(f"[*] Submitting file: {target}")
submission = submit_file(target, api_key)
if "error" in submission:
print(f"[!] {submission['error']}")
sys.exit(1)
task_id = submission["task_id"]
print(f"[*] Task ID: {task_id}")
print("[*] Waiting for analysis to complete...")
completion = wait_for_completion(task_id, api_key)
print(f"[*] Status: {completion['status']} ({completion.get('elapsed', 0)}s)")
if completion["status"] == "completed":
report = get_task_report(task_id, api_key)
iocs = get_iocs_from_report(report)
output_text = generate_report(submission, report, iocs)
print(output_text)
output = f"anyrun_analysis_{task_id}.json"
with open(output, "w") as f:
json.dump({"submission": submission, "report": report, "iocs": iocs}, f, indent=2)
print(f"\n[*] Results saved to {output}")
else:
print(f"[!] Analysis did not complete: {completion['status']}")