Verify if an email address is deliverable by validating MX records.

• Block signups from non-existent or misconfigured email domains
• Reduce bounce rates by filtering undeliverable addresses
• Validate that email domains have active mail servers
• Protect sender reputation with pre-send verification

Identify when an email uses a business or corporate domain.

• Prioritize B2B leads by identifying corporate email addresses
• Apply different verification requirements for business users
• Offer enterprise pricing to verified business domains
• Build account trust based on domain type classification

Detect email addresses from free email providers.

• Apply additional verification for free email signups
• Distinguish between consumer and business user segments
• Filter for free providers in high-security scenarios
• Customize onboarding flows based on email provider type

Block temporary and disposable email addresses.

• Prevent signups from temporary mail services
• Protect free trials from abuse with burner emails
• Reduce fake account creation in community platforms
• Screen against known disposable domain registries

Identify email addresses from educational institutions.

• Offer student discounts and academic pricing
• Provide special access for verified educational users
• Empower proctored services with institutional verification
• Segment users with education-specific policies

Detect email addresses from government entities.

• Streamline procurement for government buyers
• Identify official communications from government sources
• Apply public sector compliance requirements
• Enable special access for administration users

Verify that the domain has a valid top-level domain.

• Block emails with non-existent or invalid TLDs
• Prevent typo-squatting domain abuse
• Ensure domains conform to ICANN standards
• Catch malformed addresses at the point of entry

Check if the email domain has an active website.

• Flag domains with no web presence
• Prioritize emails from established web properties
• Detect disposable domains that lack websites
• Enrich risk scoring with web presence data

Analyze the registration age of the email domain.

• Flag newly registered domains associated with fraud
• Apply extra scrutiny to emails from young domains
• Trust established domains with longer history
• Detect throwaway domains created for temporary campaigns

Check the number of subdomain levels for the domain.

• Detect unusual subdomain depth patterns
• Flag suspicious multi-level subdomain structures
• Apply policies based on subdomain complexity
• Set thresholds for acceptable subdomain counts

Identify when subdomains contain hyphens.

• Flag hyphen patterns often used in disposable domains
• Detect subdomain structures associated with automation
• Apply custom policies for hyphenated subdomains
• Screen suspicious subdomain naming patterns

Detect numeric-only subdomains.

• Identify automated subdomain patterns
• Block numeric subdomains in high-risk scenarios
• Detect patterns common in mass registration
• Apply stricter verification for numeric structures

Detect subdomains resembling UUIDs or hashes.

• Identify throwaway domains with random subdomains
• Block automation using hash-based subdomains
• Detect patterns used for temporary mail hosting
• Apply policies for non-human readable subdomains

Identify wildcard subdomain configurations.

• Detect wildcard setups used for mass mail
• Flag suspicious subdomain patterns
• Identify disposable email infrastructure
• Apply policies for wildcard domain structures

Detect internationalized domain names using punycode.

• Block homograph attacks using lookalike characters
• Detect Unicode spoofing attempts
• Identify internationalized domain abuse
• Enforce ASCII-only domain policies

Identify common typos in popular email domains.

• Catch misspellings of major email providers
• Prevent signups with lookalike typosquats
• Suggest corrections for common domain mistakes
• Block phishing attempts using typo domains

Detect when the domain is an IPv4 address.

• Flag IP-based email addresses
• Block suspicious direct IP domains
• Identify non-standard email configurations
• Apply special handling for IP-based domains

Detect when the domain is an IPv6 address.

• Flag IPv6-based email addresses
• Block suspicious direct IP configurations
• Identify non-standard domain structures
• Apply special handling for IPv6 domains

Detect numeric-only email domains.

• Flag suspicious numeric-only domains
• Block automated numeric domain patterns
• Identify non-standard domain structures
• Apply verification for numeric domains

Identify domains with only one label.

• Detect invalid single-label domain patterns
• Block TLD-only email addresses
• Identify malformed domain structures
• Catch incomplete domain entries

Detect high-entropy patterns indicating automation in the local part.

• Identify random string usernames from bots
• Detect high-entropy patterns from fraud tools
• Flag suspicious alphanumeric combinations
• Automated scoring for entropy analysis

Identify mixed Unicode scripts in email local parts.

• Block homograph attacks with mixed scripts
• Detect spoofed usernames with similar characters
• Prevent international character abuse
• Enforce single-script email policies

Detect dot variations in Gmail local parts.

• Normalize Gmail addresses by removing dots
• Prevent duplicate accounts with dot manipulation
• Map variations to canonical Gmail addresses
• Account gaming protection tools

Identify plus addressing aliases in email local parts.

• Remove plus aliases for base email identification
• Detect plus addressing for multiple signups
• Normalize emails for duplicate detection
• Account abuse prevention

Detect numeric characters in email local parts.

• Flag local parts with heavy numeric content
• Identify automated username patterns
• Detect non-human naming conventions
• Apply verification for numeric-heavy emails

Identify hyphens in email local parts.

• Flag hyphenated local part patterns
• Detect naming conventions associated with automation
• Apply policies for hyphen usage
• Custom rules for hyphenated usernames

Detect underscores in email local parts.

• Flag underscore patterns in usernames
• Identify naming patterns from specific sources
• Apply custom underscore policies
• Normalize or score underscore usage

Detect special characters in email local parts.

• Identify unusual special character usage
• Block or flag specific character patterns
• Detect encoding tricks in local parts
• Apply security policies for special characters

Identify quoted email local parts.

• Flag quoted local part usage
• Handle special characters in quoted strings
• Manage non-standard email formats
• Apply policies for quoted addresses

Detect role-based email addresses like admin@ or support@.

• Identify shared inboxes unsuitable for personal use
• Apply different policies for role addresses
• Distinguish shared from personal accounts
• Custom handling for role-based emails

Track how frequently an email address appears across your platform.

• Detect rapid-fire account creation from same email
• Identify velocity attacks on registration
• Build reputation scores from usage patterns
• Prevent abuse with frequency monitoring