Agent skill

Building Ioc Defanging And Sharing Pipeline

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Build an automated pipeline that ingests raw IOCs (URLs, IPs, domains, emails), normalizes and deduplicates them, then produces defanged renderings for safe human reading alongside canonical STIX…

Apache-2.0Auto-check passedSecurity

Install Building Ioc Defanging And Sharing Pipeline

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-ioc-defanging-and-sharing-pipeline -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills building-ioc-defanging-and-sharing-pipeline --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/building-ioc-defanging-and-sharing-pipeline .claude/skills/building-ioc-defanging-and-sharing-pipeline && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
building-ioc-defanging-and-sharing-pipeline
GitHub stars
34k
Token cost
~3.6k tokens
SKILL.md length
369 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Build an automated pipeline that ingests raw IOCs (URLs, IPs, domains, emails), normalizes and deduplicates them, then produces defanged renderings for safe human reading alongside canonical STIX…

  • Works in 4 steps: Build IOC Extraction and Normalization → Defanging Engine → Convert to STIX 2.1 Format → …
  • Preparing indicators of compromise for safe analyst sharing
  • SKILL.md covers Overview, When to Use, Prerequisites and Key Concepts, plus 3 more sections
  • Runs Python scripts from its folder; reaches misp.organization.com

What it does

Building Ioc Defanging And Sharing Pipeline is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Build an automated pipeline that ingests raw IOCs (URLs, IPs, domains, emails), normalizes and deduplicates them, then produces defanged renderings for safe human reading alongside canonical STIX 2.1 bundles distributed via TAXII servers, MISP, or email reports. Use when preparing indicators of compromise for safe analyst sharing or automating threat intel distribution to TAXII/MISP feeds.

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).

It sits in Security. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • Preparing indicators of compromise for safe analyst sharing
  • Automating threat intel distribution to TAXII/MISP feeds

Example prompts

  • “/building-ioc-defanging-and-sharing-pipeline”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Build IOC Extraction and Normalization
  2. Defanging Engine
  3. Convert to STIX 2.1 Format
  4. Distribute Through MISP and TAXII

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • misp.organization.com

    Also links to:

    • pypi.org
    • cisa.gov
    • docs.oasis-open.org
    • grokipedia.com
    • hunt.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Building Ioc Defanging And Sharing Pipeline loads about 3.6k tokens when it runs, and up to ~4k if it reads all its reference files. Until then it costs about 109 tokens; SKILL.md has 369 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~109
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 369 words, ~3,639 tokens.

Download SKILL.mdSave it as .claude/skills/building-ioc-defanging-and-sharing-pipeline/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
building-ioc-defanging-and-sharing-pipeline
description
Build an automated pipeline that ingests raw IOCs (URLs, IPs, domains, emails), normalizes and deduplicates them, then produces defanged renderings for safe human reading alongside canonical STIX 2.1 bundles distributed via TAXII servers, MISP, or email reports. Use when preparing indicators of compromise for safe analyst sharing or automating threat intel distribution to TAXII/MISP feeds.
domain
cybersecurity
subdomain
threat-intelligence
tags
ioc, defanging, threat-sharing, stix, pipeline, indicator, automation, threat-intelligence
version
1.0
author
mahipal
license
Apache-2.0
nist_csf
ID.RA-01, ID.RA-05, DE.CM-01, DE.AE-02
mitre_attack
T1071.001, T1583.001, T1105, T1566.002

Building IOC Defanging and Sharing Pipeline

Overview

IOC defanging modifies potentially malicious indicators (URLs, IP addresses, domains, email addresses) to prevent accidental clicks or execution while preserving readability for analysis and sharing. This skill covers building an automated pipeline that ingests raw IOCs from multiple sources, normalizes and deduplicates them, applies defanging for safe human consumption, converts them to STIX 2.1 format for machine consumption, and distributes through TAXII servers, MISP instances, and email reports.

When to Use

  • When deploying or configuring building ioc defanging and sharing pipeline 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 defang, ioc-fanger, stix2, requests, validators libraries
  • MISP instance or TAXII server for automated sharing
  • Understanding of IOC types: IPv4/IPv6, domains, URLs, email addresses, file hashes
  • Familiarity with STIX 2.1 Indicator patterns and TLP marking definitions
  • Access to threat intelligence feeds for IOC ingestion

Key Concepts

IOC Defanging Standards

Defanging replaces active protocol and domain components to prevent execution: http:// becomes hxxp://, https:// becomes hxxps://, dots in domains/IPs become [.], @ in emails becomes [@]. This is critical for sharing IOCs in reports, emails, Slack channels, and paste sites where auto-linking could trigger network connections to malicious infrastructure.

Show full SKILL.md (154 more words)Show less
IOC Normalization

Raw IOCs from different sources come in inconsistent formats. Normalization involves converting to lowercase, removing trailing slashes and whitespace, extracting domains from URLs, resolving URL encoding, validating format correctness, and deduplicating across sources.

STIX 2.1 Indicator Patterns

STIX patterns express IOCs in a standardized format: [ipv4-addr:value = '203.0.113.1'], [domain-name:value = 'malicious.example.com'], [url:value = 'http://evil.com/payload'], [file:hashes.'SHA-256' = 'abc123...']. Each indicator includes valid_from, indicator_types, confidence, and optional TLP markings.

Workflow

Step 1: Build IOC Extraction and Normalization
python
import re
import hashlib
from urllib.parse import urlparse, unquote
from datetime import datetime

class IOCExtractor:
    """Extract and normalize IOCs from text."""

    PATTERNS = {
        "ipv4": r'\b(?:(?:25[0-5]|2[0-4]\d|1\d{2}|[1-9]?\d)\.){3}(?:25[0-5]|2[0-4]\d|1\d{2}|[1-9]?\d)\b',
        "domain": r'\b(?:[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?\.)+[a-zA-Z]{2,}\b',
        "url": r'https?://[^\s<>"{}|\\^`\[\]]+',
        "email": r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b',
        "md5": r'\b[a-fA-F0-9]{32}\b',
        "sha1": r'\b[a-fA-F0-9]{40}\b',
        "sha256": r'\b[a-fA-F0-9]{64}\b',
    }

    WHITELIST_DOMAINS = {
        "google.com", "microsoft.com", "amazon.com", "github.com",
        "cloudflare.com", "akamai.com", "example.com",
    }

    def extract_from_text(self, text):
        """Extract all IOC types from free text."""
        # Refang any already-defanged indicators first
        text = self._refang(text)
        iocs = {"ipv4": set(), "domain": set(), "url": set(),
                "email": set(), "md5": set(), "sha1": set(), "sha256": set()}

        for ioc_type, pattern in self.PATTERNS.items():
            matches = re.findall(pattern, text)
            for match in matches:
                normalized = self._normalize(match, ioc_type)
                if normalized and not self._is_whitelisted(normalized, ioc_type):
                    iocs[ioc_type].add(normalized)

        # Remove domains that are part of URLs
        url_domains = set()
        for url in iocs["url"]:
            parsed = urlparse(url)
            url_domains.add(parsed.netloc)
        iocs["domain"] -= url_domains

        total = sum(len(v) for v in iocs.values())
        print(f"[+] Extracted {total} unique IOCs from text")
        return {k: sorted(v) for k, v in iocs.items()}

    def _refang(self, text):
        """Convert defanged indicators back to active form."""
        text = text.replace("hxxp://", "http://").replace("hxxps://", "https://")
        text = text.replace("[.]", ".").replace("[@]", "@")
        text = text.replace("[://]", "://").replace("(.)", ".")
        return text

    def _normalize(self, value, ioc_type):
        """Normalize an IOC value."""
        value = value.strip().lower()
        if ioc_type == "url":
            value = unquote(value).rstrip("/")
        elif ioc_type == "domain":
            value = value.rstrip(".")
        return value

    def _is_whitelisted(self, value, ioc_type):
        """Check if IOC is in whitelist."""
        if ioc_type == "domain":
            return value in self.WHITELIST_DOMAINS
        if ioc_type == "url":
            parsed = urlparse(value)
            return parsed.netloc in self.WHITELIST_DOMAINS
        return False

extractor = IOCExtractor()
sample_text = """
Malware C2: hxxps://evil-domain[.]com/beacon
Drops payload from 192.168.1.100 and contacts 10[.]0[.]0[.]1
SHA256: 275a021bbfb6489e54d471899f7db9d1663fc695ec2fe2a2c4538aabf651fd0f
Phishing email from attacker[@]phishing-domain[.]com
"""
iocs = extractor.extract_from_text(sample_text)
Step 2: Defanging Engine
python
class IOCDefanger:
    """Defang IOCs for safe sharing in reports and communications."""

    def defang_url(self, url):
        return url.replace("http://", "hxxp://").replace("https://", "hxxps://").replace(".", "[.]")

    def defang_domain(self, domain):
        return domain.replace(".", "[.]")

    def defang_ip(self, ip):
        return ip.replace(".", "[.]")

    def defang_email(self, email):
        return email.replace("@", "[@]").replace(".", "[.]")

    def defang_all(self, iocs):
        """Defang all IOCs in a dictionary."""
        defanged = {}
        for ioc_type, values in iocs.items():
            if ioc_type == "url":
                defanged[ioc_type] = [self.defang_url(v) for v in values]
            elif ioc_type == "domain":
                defanged[ioc_type] = [self.defang_domain(v) for v in values]
            elif ioc_type == "ipv4":
                defanged[ioc_type] = [self.defang_ip(v) for v in values]
            elif ioc_type == "email":
                defanged[ioc_type] = [self.defang_email(v) for v in values]
            else:
                defanged[ioc_type] = values  # Hashes don't need defanging
        return defanged

    def generate_sharing_report(self, iocs, defanged, report_name="IOC Report"):
        """Generate a human-readable defanged IOC report."""
        report = f"# {report_name}\n"
        report += f"Generated: {datetime.now().isoformat()}\n\n"

        for ioc_type in ["url", "domain", "ipv4", "email", "sha256", "sha1", "md5"]:
            values = defanged.get(ioc_type, [])
            if values:
                report += f"## {ioc_type.upper()} ({len(values)})\n"
                for v in values:
                    report += f"- `{v}`\n"
                report += "\n"

        return report

defanger = IOCDefanger()
defanged = defanger.defang_all(iocs)
report = defanger.generate_sharing_report(iocs, defanged, "Malware Campaign IOCs")
print(report)
Step 3: Convert to STIX 2.1 Format
python
from stix2 import Indicator, Bundle, TLP_WHITE, TLP_GREEN, TLP_AMBER
from datetime import datetime

class STIXConverter:
    """Convert raw IOCs to STIX 2.1 Indicator objects."""

    TLP_MAP = {"white": TLP_WHITE, "green": TLP_GREEN, "amber": TLP_AMBER}

    def iocs_to_stix(self, iocs, tlp="green", confidence=75):
        """Convert IOC dictionary to STIX 2.1 bundle."""
        stix_objects = []
        marking = self.TLP_MAP.get(tlp, TLP_GREEN)

        for ip in iocs.get("ipv4", []):
            stix_objects.append(Indicator(
                name=f"Malicious IP: {ip}",
                pattern=f"[ipv4-addr:value = '{ip}']",
                pattern_type="stix",
                valid_from=datetime.now(),
                indicator_types=["malicious-activity"],
                confidence=confidence,
                object_marking_refs=[marking],
            ))

        for domain in iocs.get("domain", []):
            stix_objects.append(Indicator(
                name=f"Malicious Domain: {domain}",
                pattern=f"[domain-name:value = '{domain}']",
                pattern_type="stix",
                valid_from=datetime.now(),
                indicator_types=["malicious-activity"],
                confidence=confidence,
                object_marking_refs=[marking],
            ))

        for url in iocs.get("url", []):
            escaped = url.replace("'", "\\'")
            stix_objects.append(Indicator(
                name=f"Malicious URL: {url[:60]}",
                pattern=f"[url:value = '{escaped}']",
                pattern_type="stix",
                valid_from=datetime.now(),
                indicator_types=["malicious-activity"],
                confidence=confidence,
                object_marking_refs=[marking],
            ))

        for sha256 in iocs.get("sha256", []):
            stix_objects.append(Indicator(
                name=f"Malicious File Hash: {sha256[:16]}...",
                pattern=f"[file:hashes.'SHA-256' = '{sha256}']",
                pattern_type="stix",
                valid_from=datetime.now(),
                indicator_types=["malicious-activity"],
                confidence=confidence,
                object_marking_refs=[marking],
            ))

        bundle = Bundle(objects=stix_objects)
        print(f"[+] Created STIX bundle with {len(stix_objects)} indicators")
        return bundle

converter = STIXConverter()
stix_bundle = converter.iocs_to_stix(iocs, tlp="amber", confidence=80)
with open("iocs_stix_bundle.json", "w") as f:
    f.write(stix_bundle.serialize(pretty=True))
Step 4: Distribute Through MISP and TAXII
python
import requests
import json

class IOCDistributor:
    """Distribute IOCs through various channels."""

    def push_to_misp(self, iocs, misp_url, misp_key, event_info):
        """Push IOCs to MISP as a new event."""
        headers = {
            "Authorization": misp_key,
            "Content-Type": "application/json",
            "Accept": "application/json",
        }
        event = {
            "Event": {
                "info": event_info,
                "distribution": "1",  # This community only
                "threat_level_id": "2",  # Medium
                "analysis": "2",  # Completed
                "Attribute": [],
            }
        }

        type_mapping = {
            "ipv4": "ip-dst",
            "domain": "domain",
            "url": "url",
            "email": "email-src",
            "md5": "md5",
            "sha1": "sha1",
            "sha256": "sha256",
        }

        for ioc_type, values in iocs.items():
            misp_type = type_mapping.get(ioc_type)
            if misp_type:
                for value in values:
                    event["Event"]["Attribute"].append({
                        "type": misp_type,
                        "value": value,
                        "category": "Network activity" if ioc_type in ("ipv4", "domain", "url") else "Payload delivery",
                        "to_ids": True,
                    })

        resp = requests.post(
            f"{misp_url}/events",
            headers=headers,
            json=event,
            verify=not os.environ.get("SKIP_TLS_VERIFY", "").lower() == "true",  # Set SKIP_TLS_VERIFY=true for self-signed certs in lab environments
        )
        if resp.status_code == 200:
            event_id = resp.json().get("Event", {}).get("id", "")
            print(f"[+] MISP event created: {event_id}")
            return event_id
        else:
            print(f"[-] MISP error: {resp.status_code} - {resp.text[:200]}")
            return None

    def push_to_taxii(self, stix_bundle, taxii_url, collection_id, username, password):
        """Push STIX bundle to TAXII 2.1 collection."""
        from taxii2client.v21 import Collection
        collection = Collection(
            f"{taxii_url}/collections/{collection_id}/",
            user=username, password=password,
        )
        response = collection.add_objects(stix_bundle.serialize())
        print(f"[+] TAXII: Published bundle, status: {response.status}")
        return response

distributor = IOCDistributor()
distributor.push_to_misp(
    iocs,
    misp_url="https://misp.organization.com",
    misp_key="YOUR_MISP_API_KEY",
    event_info="Malware Campaign IOCs - 2025",
)

Validation Criteria

  • IOCs extracted correctly from free text with refanging support
  • Defanging produces safe, non-clickable indicators
  • STIX 2.1 bundle contains valid indicator patterns
  • IOCs distributed to MISP and TAXII successfully
  • Deduplication prevents duplicate indicators
  • Whitelisting prevents false positives on known-good domains

References

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in skills/building-ioc-defanging-and-sharing-pipeline of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • references/api-reference.md
  • scripts/agent.py

Open the folder on GitHubat commit 54a7988

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Categories

Questions about Building Ioc Defanging And Sharing Pipeline

What does Building Ioc Defanging And Sharing Pipeline do?

Build an automated pipeline that ingests raw IOCs (URLs, IPs, domains, emails), normalizes and deduplicates them, then produces defanged renderings for safe human reading alongside canonical STIX…. Building Ioc Defanging And Sharing Pipeline is an agent skill from mukul975/Anthropic-Cybersecurity-Skills.1 bundles distributed via TAXII servers, MISP, or email reports.

When should I use Building Ioc Defanging And Sharing Pipeline?

Building Ioc Defanging And Sharing Pipeline fits situations like: preparing indicators of compromise for safe analyst sharing; automating threat intel distribution to TAXII/MISP feeds.

How do I install Building Ioc Defanging And Sharing Pipeline in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-ioc-defanging-and-sharing-pipeline -a claude-code`. Or copy the skill folder (skills/building-ioc-defanging-and-sharing-pipeline in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/building-ioc-defanging-and-sharing-pipeline in your project. Claude Code loads it when a task matches its description.

How do I install Building Ioc Defanging And Sharing Pipeline in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-ioc-defanging-and-sharing-pipeline -a codex`. Or copy the skill folder (skills/building-ioc-defanging-and-sharing-pipeline in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/building-ioc-defanging-and-sharing-pipeline in your project. Codex loads it when a task matches its description.

Can I use Building Ioc Defanging And Sharing Pipeline in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-ioc-defanging-and-sharing-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/building-ioc-defanging-and-sharing-pipeline, .gemini/skills/building-ioc-defanging-and-sharing-pipeline, .github/skills/building-ioc-defanging-and-sharing-pipeline and .opencode/skills/building-ioc-defanging-and-sharing-pipeline in your project.

What does Building Ioc Defanging And Sharing Pipeline need to run?

Going by SKILL.md and its folder, Building Ioc Defanging And Sharing Pipeline needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Building Ioc Defanging And Sharing Pipeline access the network?

SKILL.md names 6 domains. In commands or code: misp.organization.com; the agent is likely to contact it when it follows the instructions. As links in the text: pypi.org, cisa.gov, docs.oasis-open.org, grokipedia.com and hunt.io. This is read from the text; nothing was executed.

Is Building Ioc Defanging And Sharing Pipeline safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Building Ioc Defanging And Sharing Pipeline use?

Building Ioc Defanging And Sharing Pipeline is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Building Ioc Defanging And Sharing Pipeline use?

About 3.6k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 391 tokens, read only when the agent opens those files.

What are the alternatives to Building Ioc Defanging And Sharing Pipeline?

Skills that share tags, products or a category with Building Ioc Defanging And Sharing Pipeline: Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars), Skill Scanner (getsentry/skills, 1k stars), Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 481 stars) and Security Alert Triage (elastic/agent-skills, 592 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Building Ioc Defanging And Sharing Pipeline?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.