building-adversary-infrastructure-tracking-system
Build an automated adversary infrastructure tracking system in Python (dnspython, python-whois, shodan, networkx) that pivots across passive DNS, certificate…
Skill by mukul975
Chalk Labs
Need help deploying building-adversary-infrastructure-tracking-system?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/mukul975-building-adversary-infrastructure-tracking-system
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: devops, security
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 4
codeload.github.com· found in install commandcrt.sh· found in codethreatfox-api.abuse.ch· found in codeurlhaus-api.abuse.ch· found in code
Files it touches
~/.claude/skills/building-adversary-infrastructure-tracking-system
What's inside
- Skill name
building-adversary-infrastructure-tracking-system- Description
- Build an automated adversary infrastructure tracking system in Python (dnspython, python-whois, shodan, networkx) that pivots across passive DNS, certificate transparency logs, WHOIS records, and IP enrichment to map threat-actor C2 networks and flag newly registered domains matching known patterns. Use when pivoting from known indicators to discover related C2 infrastructure or maintaining a continuously updated map of a threat actor's network.
- License
- Apache-2.0
- Instructions
- 317 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Instructions call the network
Files (4)
- LICENSE
- SKILL.md
- api-reference.md · references/
- agent.py · scripts/
SKILL.md (first lines)
# Building Adversary Infrastructure Tracking System
## Overview
Adversary infrastructure tracking uses passive DNS records, certificate transparency logs, WHOIS registration data, and IP enrichment to discover, map, and monitor threat actor command-and-control (C2) networks. Attackers frequently reuse hosting providers, registrars, SSL certificates, and naming patterns across campaigns, enabling analysts to pivot from known indicators to discover new infrastructure. This skill covers building an automated tracking system that identifies infrastructure relationships, detects newly registered domains matching adversary patterns, and maintains a continuously updated map of threat actor networks.
## When to Use
- When deploying or configuring building adversary infrastructure tracking system capabilities in your environment
- When establishing security controls aligned to compliance requirements
- When building or improving security architecture for this domain
- When conducting security assessments that require this implementation
## Prerequisites
- Python 3.9+ with `requests`, `dnspython`, `python-whois`, `shodan`, `networkx` libraries
- API keys: SecurityTrails, PassiveTotal/RiskIQ, Shodan, VirusTotal
- Access to passive DNS data sources
- Understanding of DNS infrastructure, hosting, and domain registration
- Graph database (Neo4j) or NetworkX for relationship visualization
## Key Concepts
### Passive DNS
Passive DNS captures historical DNS resolution data, recording which domains resolved to which IPs and when. Unlike active DNS queries, passive DNS preserves historical relationships even after records change, enabling analysts to track infrastructure changes, identify shared hosting patterns, and discover related domains that resolved to the same IP addresses over time.
### Infrastructure Pivoting
Pivoting identifies related infrastructure by following connections: IP pivot (find all domains on an IP), domain pivot (find all IPs a domain resolved to), WHOIS pivot (find domains with same registrant), certificate pivot (find hosts sharing SSL certificates), and NS/MX pivot (find domains using same name servers or mail servers).
### Adversary Infrastructure Patterns
Threat actors exhibit patterns: preferred registrars (Namecheap, REG.RU, Tucows), preferred hosting (bulletproof hosting providers, cloud services), domain generation algorithms (DGA), consistent naming patterns, and certificate reuse across campaigns.
## Workflow
### Step 1: Passive DNS Infrastructure Discovery
```python
import requests
import json
from collections import defaultdict
from datetime import datetime
class InfrastructureTracker:
def __init__(self, securitytrails_key=None, vt_key=None, shodan_key=None):
self.st_key = securitytrails_key
self.vt_key = vt_key
self.shodan_key = shodan_key
self.infrastructure_graph = defaultdict(lambda: {"nodes": set(), "edges": []})
def passive_dns_lookup(self, domain):
"""Query passive DNS for domain resolution history."""
headers = {"apikey": self.st_key}
url = f"https://api.securitytrails.com/v1/history/{domain}/dns/a"
resp = requests.get(url, headers=headers, timeout=30)
if resp.status_code == 200:
records = resp.json().get("records", [])
history = []
for record in records:
for value in record.get("values", []):
history.append({
"domain": domain,
"ip": value.get("ip", ""),
"first_seen": record.get("first_seen", ""),
"last_seen": record.get("last_seen", ""),
"type": record.get("type", "a"),
})
print(f"[+] Passive DNS for {domain}: {len(history)} records")
return history
return []
def reverse_ip_lookup(self, ip_address):
"""Find all domains hosted on an IP address."""
headers = {"apikey": self.st_key}
url = f"https://api.securitytrails.com/v1/ips/nearby/{ip_address}"
resp = requests.get(url, headers=headers, timeout=30)
if resp.status_code == 200:
blocks = resp.json().get("blocks", [])
domains = []
for block in blocks:
for site in block.get("sites", []):
domains.append(site)
print(f"[+] Reverse IP for {ip_address}: {len(domains)} domains")
return domains
return []
def whois_lookup(self, domain):
"""Get WHOIS registration data for pivoting."""
headers = {"apikey": self.st_key}
url = f"https://api.securitytrails.com/v1/domain/{domain}/whois"
resp = requests.get(url, headers=headers, timeout=30)
if resp.status_code == 200:
data = resp.json()
whois_data = {
"domain": domain,
"registrar": data.get("registrar", ""),
"registrant_org": data.get("registrant_org", ""),
"registrant_email": data.get("registrant_email", ""),
"name_servers": data.get("nameServers", []),
"created_date": data.get("createdDate", ""),
"updated_date": data.get("updatedDate", ""),
"expires_date": data.get("expiresDate", ""),
}
return whois_data
return {}
def pivot_from_seed(self, seed_indicator, indicator_type="domain", depth=2):
"""Recursively pivot from a seed indicator to discover infrastructure."""
discovered = {"domains": set(), "ips": set(), "relationships": []}
if indicator_type == "domain":
discovered["domains"].add(seed_indicator)
# Get IPs for domain
pdns = self.passive_dns_lookup(seed_indicator)
for record in pdns:
ip = record["ip"]
discovered["ips"].add(ip)From mukul975/Anthropic-Cybersecurity-Skills, Apache-2.0.
More from mukul975/Anthropic-Cybersecurity-Skills
- 0.616score
conducting-spearphishing-simulation-campaign
mukul975
Run a targeted spearphishing simulation for initial access by developing OSINT-derived pretexts, building payloads (HTML smuggling, macro docs, ISO/LNK…
SkillBFreshness: B★ 34.9KClaude Code +9 - 0.616score
conducting-social-engineering-penetration-test
mukul975
Design and execute a social engineering penetration test combining OSINT-driven target profiling with phishing, vishing, smishing, and physical pretexting…
SkillBFreshness: B★ 34.9KClaude Code +9 - 0.616score
conducting-domain-persistence-with-dcsync
mukul975
Perform DCSync attacks by abusing MS-DRSR replication rights (DS-Replication-Get-Changes/-All) to impersonate a Domain Controller and extract KRBTGT, Domain…
SkillBFreshness: B★ 34.9KClaude Code +9 - 0.616score
building-threat-intelligence-platform
mukul975
Design and deploy a Threat Intelligence Platform (TIP) by integrating open-source CTI tools (MISP, OpenCTI, TheHive, Cortex) into a unified system with feed…
SkillBFreshness: B★ 34.9KClaude Code +9 - 0.616score
building-threat-intelligence-enrichment-in-splunk
mukul975
Build automated IOC enrichment pipelines in Splunk Enterprise Security by ingesting threat feeds into KV Store collections and correlating them against…
SkillBFreshness: B★ 34.9KClaude Code +9 - 0.616score
building-vulnerability-aging-and-sla-tracking
mukul975
Implement a vulnerability aging dashboard and SLA tracking system that measures time-to-remediation against severity-based deadlines (e.g.
SkillBFreshness: B★ 34.9KClaude Code +9 - 0.616score
analyzing-cobaltstrike-malleable-c2-profiles
mukul975
Parse and analyze Cobalt Strike Malleable C2 profiles with dissect.cobaltstrike (profiles and beacon-payload configs) and pyMalleableC2 (AST parsing) to…
SkillBFreshness: B★ 34.9KClaude Code +9 - 0.616score
attacking-oauth-with-device-code-phishing
mukul975
Run OAuth 2.0 device-code and illicit-consent phishing attacks against Microsoft Entra ID, using TokenTactics-style tooling to steal access and refresh…
SkillBFreshness: B★ 34.9KClaude Code +9 - 0.616score
conducting-external-reconnaissance-with-osint
mukul975
Conduct external recon using OSINT techniques to map an organization's external attack surface without touching target systems, gathering DNS records…
SkillBFreshness: B★ 34.9KClaude Code +9 - 0.616score
building-malware-incident-communication-template
mukul975
Build structured communication templates for malware incidents (ransomware, wiper, trojan, worm), covering internal stakeholder notifications, executive…
SkillBFreshness: B★ 34.9KClaude Code +9 - 0.616score
conducting-gdpr-compliance-assessment
mukul975
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of…
SkillBFreshness: B★ 34.9KClaude Code +9 - 0.616score
configuring-active-directory-tiered-model
mukul975
Implement Microsoft's Enhanced Security Admin Environment (ESAE) tiered administration model for Active Directory, covering Tier 0/1/2 separation, privileged…
SkillBFreshness: B★ 34.9KClaude Code +9
Signals
- Stars
- 34,941
- Forks
- 4,256
- Open issues
- 24
- Last commit (this folder)
- Aug 2, 2026 (2 months ago)
- Last release
- Jun 22, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from mukul975
- 0.616score
building-threat-intelligence-platform
mukul975
Design and deploy a Threat Intelligence Platform (TIP) by integrating open-source CTI tools (MISP, OpenCTI, TheHive, Cortex) into a unified system with feed…
SkillBFreshness: B★ 34.9KClaude Code +9 - 0.616score
building-vulnerability-aging-and-sla-tracking
mukul975
Implement a vulnerability aging dashboard and SLA tracking system that measures time-to-remediation against severity-based deadlines (e.g.
SkillBFreshness: B★ 34.9KClaude Code +9 - 0.616score
conducting-domain-persistence-with-dcsync
mukul975
Perform DCSync attacks by abusing MS-DRSR replication rights (DS-Replication-Get-Changes/-All) to impersonate a Domain Controller and extract KRBTGT, Domain…
SkillBFreshness: B★ 34.9KClaude Code +9 - 0.616score
conducting-external-reconnaissance-with-osint
mukul975
Conduct external recon using OSINT techniques to map an organization's external attack surface without touching target systems, gathering DNS records…
SkillBFreshness: B★ 34.9KClaude Code +9 - 0.616score
conducting-gdpr-compliance-assessment
mukul975
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of…
SkillBFreshness: B★ 34.9KClaude Code +9 - 0.616score
building-threat-intelligence-enrichment-in-splunk
mukul975
Build automated IOC enrichment pipelines in Splunk Enterprise Security by ingesting threat feeds into KV Store collections and correlating them against…
SkillBFreshness: B★ 34.9KClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get building-adversary-infrastructure-tracking-system running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
building-adversary-infrastructure-tracking-system skill. Agent Mart. https://agentmart.dev/skills/mukul975-building-adversary-infrastructure-tracking-system (last updated 2026-10-24)