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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
36 lines
1.3 KiB
Markdown
36 lines
1.3 KiB
Markdown
---
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name: implementing-email-security-with-dmarc-dkim-spf
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description: >-
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Audit and validate email authentication configurations by checking SPF, DKIM,
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and DMARC DNS records for a domain. Uses dnspython to query TXT records,
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validates SPF syntax and lookup counts, verifies DKIM selector records,
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parses DMARC policies, and identifies misconfigurations that enable email
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spoofing. Generates remediation recommendations.
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---
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## Instructions
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1. Install dependencies: `pip install dnspython checkdmarc`
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2. Provide target domain(s) to audit.
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3. Run the agent to check email security:
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- Query and validate SPF records (syntax, mechanism count, includes, redirect)
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- Check DKIM records for common selectors (google, default, selector1, selector2)
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- Parse DMARC records (policy, subdomain policy, reporting URIs, alignment)
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- Identify misconfigurations enabling spoofing
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- Generate remediation recommendations
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```bash
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python scripts/agent.py --domain example.com --output email_security_report.json
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```
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## Examples
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### Email Security Audit Result
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```
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Domain: example.com
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SPF: v=spf1 include:_spf.google.com ~all (WARN: softfail allows spoofing)
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DKIM: selector1 OK, selector2 OK
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DMARC: v=DMARC1; p=none; rua=mailto:dmarc@example.com (WARN: policy=none, no enforcement)
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Risk: HIGH - p=none with ~all allows email spoofing
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```
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