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PhishEye

Phishing & scam protection

Spot lookalike pages, phishing kits, and scam campaigns that borrow your brand, then run a disciplined queue from first detection through registrar, host, and platform enforcement.

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Dashboard concept for phishing and scam protection showing verified attacks, reported groups, and detection statistics.

Phishing & credential abuse

Coverage areas

Domains, social, app stores (scoped to your program)

Delivery

Platform workflows + optional managed services

Outputs

Prioritized queues, evidence, takedown tracking

Coverage

Threat patterns programs typically monitor

Programs are tuned to your marks and channels; the list below reflects common categories teams prioritize.

  • Credential-harvest phishing pages

    Pages mimicking your login, MFA, or account-recovery flows — scored by content fingerprint and proximity to real auth surfaces.

  • Brand-spoofed checkout and support flows

    Fake clearance portals, spoofed order-status pages, and scam customer-service hubs that hit revenue and NPS directly.

  • BEC and wire-fraud lure infrastructure

    Domains and pages staged for business email compromise — registered ahead of the campaign, used briefly, then rotated.

  • Smishing and SMS-driven campaign clusters

    Short-lived hosts referenced in SMS lures — patterns that web-only telemetry misses without SMS-feed correlation.

  • Multi-channel campaign correlation

    How one campaign uses email, SMS, ads, and social in parallel — clustered into one case so analyst work doesn't duplicate.

  • Recycle attacks after first takedown

    The same kit returning on a new hostname within hours — tracked and re-enforced on the original case timeline.

See risky pages sooner, then close the loop

Tight blocks you can scan first, then FAQs and related guides carry the rest of the evaluation story.

Visibility across how phishing actually spreads

Impersonation is not one attack type. It is fake logins, bogus checkouts, wallet drains, and support clones that move through SMS, ads, social, and direct browsing, not only email. Continuous discovery anchored to your marks, domains, and high-risk login paths beats one-off URL checks.

Diagram of phishing channels — SMS lures, paid ads, social DMs, and direct browsing — converging into one detection hub for credential-harvester triage.

Prioritized discovery

Not every lookalike string is a live phish. PhishEye-style workflows score hosting behavior, content signals, certificates, and proximity to real customer journeys so credential harvesters and active scams surface before parking pages and old marketing typos clog the queue.

Triage stack ranking live credential harvesters above parked lookalikes and stale marketing typos for phishing response.

Cases built for enforcement

Related hosts, redirects, and kit patterns belong in one timeline. The goal is a repeatable evidence narrative for registrars, hosts, and platforms, not a screenshot lost in chat. Automation can collect artifacts and pre-fill routine steps; analysts keep judgment on edge cases and partial mitigations.

Case cards for related phishing hosts, redirect chains, and shared kit patterns merging into one enforcement timeline.

Takedown status you can audit

Third-party takedowns are follow-ups, not magic buttons. Track submissions, provider threads, partial mitigations, and recycle events so “resolved” matches what customers still see. When a host stalls, containment options (blocklists, payments, customer comms) stay tied to the same case ID.

Vertical timeline tracking phishing takedown submissions through provider follow-up and customer-visible resolution.

Who this is for

Security and fraud leaders who want less reactive URL chasing, brand and trust teams who need defensible reporting, and buyers comparing vendors on workflow depth, not slide decks. Email and EDR still leave gaps when lures start outside the mailbox; web impersonation coverage closes those paths.

Protect revenue and customer trust

See how PhishEye centralizes detections, evidence, and takedowns so security, fraud, and brand teams share one operational picture.

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FAQs

Common questions

What does phishing and scam protection cover?
It focuses on abusive sites and campaigns that impersonate your brand to steal credentials, move fraud, or distribute malware, plus the workflows to prioritize alerts and pursue takedowns with registrars, hosts, and platforms.
How is phishing detection different from a one-off URL scanner?
Ongoing programs watch for new registrations, hosting changes, and patterns tied to your marks and customer journeys. Detections feed a shared queue with evidence, so teams respond consistently instead of chasing ad hoc links.
Can PhishEye support our existing SOC or abuse inbox?
Yes. The goal is to export clear narratives, artifacts, and status so your SOC, fraud, or brand team can use the same source of truth. Exact integrations depend on your plan and tooling.
Do we still need this if we already have email security and EDR?
Usually yes. Email and endpoint controls catch many threats, but phishing also spreads through SMS, social, ads, search, and direct browsing. Web impersonation programs focus on fraudulent sites and infrastructure even when the lure never touched your mail gateway.

Explore further

Related pages

Ready to scope a program for your marks and channels?

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