E-commerce

Coverage

Threat patterns programs typically monitor

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

• Fake apps in official stores

  Listings that abuse your brand name, icon, or screenshots on Apple App Store and Google Play.

• Third-party and sideload distribution

  Aptoide, APKMirror, regional stores, and Telegram-distributed APKs that fall outside Apple/Google policy reach.

• Counterfeit storefronts and seller fraud

  Marketplace sellers and storefronts using your marks for counterfeit goods, often paired with off-platform payment scams.

• Review and rating manipulation

  Review-bombing of your real app or coordinated 5-star inflation on impostor listings — both shift consumer trust signals.

• Permissions and metadata red flags

  Suspicious permissions, developer-account history, and certificate signing patterns that mark a listing for closer review.

• Store-specific reporting paths

  What evidence each store actually accepts and how takedown SLAs differ between Apple, Google, and third-party marketplaces.

From discovery to takedown under peak load

Retail abuse spikes around launches and holidays. Programs need triage that protects conversion and loyalty without drowning analysts in noise.

Prioritize checkout and support mimics

Fake clearance portals, spoofed order-status pages, and scam “customer service” hubs directly hit revenue and NPS. Similarity and payment-adjacent signals should float those cases ahead of low-risk parking noise.

Sustain enforcement through the surge

Automation can draft evidence and route repeat hosts; analysts focus on stubborn providers and coordinated campaigns. Track partial mitigations and recycle so merchandising and PR see honest closure, not ticket volume alone.

FAQs

Common questions