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Learn about the eXtended Abuse Reporting Format (XARF) and why XARF v4 is the modern standard for structured abuse reporting

Introduction to XARF

What is XARF?

XARF (eXtended Abuse Reporting Format) is an open, structured format for reporting internet abuse. It provides a standardized, machine-readable way to communicate abuse incidents between networks, service providers, security teams, and abuse handling organizations.

Think of XARF as a universal language for abuse reporting. Instead of sending unstructured emails that require manual parsing, XARF reports contain all essential information in a consistent JSON format that can be automatically processed, validated, and acted upon.

Real-World Scenario

Without XARF:

Subject: Abuse complaint - phishing site
Body: Hi, we found a phishing site at example.com/fake-bank
that's targeting our customers. Can you take it down?
Attached: screenshot.png

Manual parsing required. Time-consuming. Error-prone. No standardization.

With XARF v4:

{
  "xarf_version": "4.0.0",
  "report_id": "550e8400-e29b-41d4-a716-446655440000",
  "category": "content",
  "type": "phishing",
  "timestamp": "2024-01-15T14:30:00Z",
  "reporter": {
    "org": "Example Bank Security",
    "contact": "[email protected]",
    "domain": "examplebank.com"
  },
  "sender": {
    "org": "Example Bank Security",
    "contact": "[email protected]",
    "domain": "examplebank.com"
  },
  "source_identifier": "203.0.113.45",
  "url": "https://example.com/fake-bank",
  "evidence": [
    {
      "content_type": "image/png",
      "description": "Screenshot of phishing page",
      "payload": "base64encodeddata...",
      "hashes": ["sha256:abc123..."]
    }
  ]
}

Instant processing. Automated validation. Consistent structure. Actionable data.

Why XARF v4?

XARF v4 represents a complete evolution of abuse reporting, designed for the challenges of the modern internet.

Key Improvements Over Previous Formats

🎯 Comprehensive Coverage

  • 32 specialized types covering everything from phishing to CSAM/CSEM to copyright infringement
  • Detailed categorization ensures reports contain relevant, type-specific information
  • Extensible design allows for future abuse types without breaking changes

πŸ”’ Evidence-First Design

  • Built-in support for cryptographic hashes (SHA256, SHA512, MD5)
  • Multiple hash values per evidence item for flexibility
  • Evidence validation and integrity verification
  • Support for various evidence types: URLs, IPs, files, screenshots, logs

πŸš€ Real-Time Processing

  • JSON format enables instant machine parsing
  • Structured data eliminates manual interpretation
  • Automated workflows from detection to resolution
  • API-ready format for seamless integration

πŸ“Š Rich Context

  • Reporter reference IDs for tracking
  • Timestamps with millisecond precision
  • Priority levels for incident severity
  • Custom metadata support via reporter_custom_fields

🌍 Global Standardization

  • Open specification with public schemas
  • Language-agnostic format (JSON)
  • International timestamp format (ISO 8601)
  • Multi-language support for descriptions

πŸ” Privacy by Design

  • Clear separation of evidence and PII
  • Support for redacted information
  • Configurable data retention guidance
  • GDPR-friendly architecture

Content Type Categories

XARF v4 organizes its 32 types into 7 logical categories:

1. Connection-Based Abuse (8 types)

Network-level attacks and suspicious connection patterns.

Examples: DDoS attacks, port scanning, brute force attempts, infected hosts

Use when: The abuse involves network connections, traffic patterns, or access attempts

Types: login_attack, port_scan, ddos, infected_host, reconnaissance, scraping, sql_injection, vuln_scanning

2. Content-Based Abuse (9 types)

Malicious or harmful content hosted or distributed online.

Examples: Phishing sites, malware distribution, CSAM, CSEM, fraud, brand infringement

Use when: The abuse involves hosted content, websites, or distributed files

Types: phishing, malware, csam, csem, exposed_data, brand_infringement, fraud, remote_compromise, suspicious_registration

Intellectual property infringement and unauthorized distribution.

Examples: P2P file sharing, cyberlockers, link sites, UGC platforms

Use when: The abuse involves copyright infringement

Types: copyright, p2p, cyberlocker, ugc_platform, link_site, usenet

4. Infrastructure Abuse (2 types)

Compromised or misused infrastructure and systems.

Examples: Botnet nodes, compromised servers

Use when: The abuse involves compromised infrastructure or misused systems

Types: botnet, compromised_server

5. Messaging Abuse (2 types)

Spam and abuse via messaging platforms and channels.

Examples: Email spam, bulk messaging campaigns

Use when: The abuse involves messaging platforms, email, or communication channels

Types: spam, bulk_messaging

6. Reputation & Intelligence (2 types)

Threat intelligence, blocklists, and reputation data.

Examples: Known bad actors, threat feeds, blocklists

Use when: Sharing threat intelligence or reputation information

Types: blocklist, threat_intelligence

7. Vulnerabilities (3 types)

Security vulnerabilities and misconfigurations.

Examples: CVE reports, open services, security misconfigurations

Use when: Reporting security vulnerabilities or dangerous configurations

Types: cve, open, misconfiguration

Use Cases

For Abuse Teams

  • Automate report intake and processing
  • Reduce manual parsing time by 90%+
  • Standardize internal workflows
  • Integrate with ticketing systems
  • Track report outcomes consistently

For Network Operators

  • Receive actionable abuse reports
  • Validate evidence cryptographically
  • Prioritize incidents automatically
  • Respond faster with structured data
  • Reduce false positives

For Security Vendors

  • Share threat intelligence in standard format
  • Integrate with SIEM and SOAR platforms
  • Provide value-added abuse reporting services
  • Enable automated takedowns
  • Build ecosystem integrations

For Law Enforcement

  • Collect evidence with integrity verification
  • Track cases with unique identifiers
  • Maintain chain of custody
  • Collaborate across jurisdictions
  • Preserve data for legal proceedings

How XARF v4 Works

1. Detection

An abuse incident is detected (automated scan, user report, threat feed, etc.)

2. Report Creation

The incident is structured into a XARF v4 JSON report with the appropriate category and type

3. Submission

The report is sent via email, API, or bulk file transfer to the responsible party

4. Validation

The recipient validates the report against the XARF v4 JSON schema

5. Processing

Automated systems parse the structured data and create tickets, block IPs, take down content, etc.

6. Response

Actions are taken based on the report content and tracked using the report_id

7. Feedback

Optional: Outcomes can be reported back using the reporter_reference_id

Getting Started

Ready to implement XARF v4? Here’s where to go next:

Community & Support

XARF is an open standard maintained by the community:


Next: Technical Specification β†’