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Digital Risk Protection

Rogue Banking App Campaign Takedown

One fake banking app disappears from a store and three more arrive under different names. The useful unit of investigation is not the listing—it is the actor behind the clones. Shared signing certificates, command infrastructure and distribution channels can reveal which apps belong to the same campaign.

Capabilities

Entity Resolution Geospatial Mapping Infrastructure Pivoting Live Monitoring & Alerting Malware & Binary Analysis Network & Link Analysis Open Source & Social Media Takedown & Disruption

Overview

Removing a single fraudulent application may only reset the problem. Clone apps can return through another store, messaging channel, domain or advertising account while reusing parts of the same kit and infrastructure. To disrupt the campaign, analysts need to understand which listings and delivery channels are connected.

CoAnalyst360 compares application artifacts, certificates, infrastructure and distribution signals across samples. Static and dynamic analysis can establish what an app does, certificate clustering can identify related clones, and domain or hosting history can reveal common infrastructure. That evidence can be organized into a campaign-level package so brand, security and platform teams can pursue related removals together.

Rogue App Campaign Monitor
Rogue App Campaign Monitor — Campaign Graph
Rogue App Campaign Monitor — Detections
Rogue App Campaign Monitor — Victim Map
Rogue App Campaign Monitor — Takedown Tracker
Rogue App Campaign Monitor — Summary

Key features

  • Static and dynamic analysis Triage package manifest, permissions and signing certificate, then detonate the sample in a controlled environment to capture overlay behavior and command-and-control traffic.
  • Channel and lookalike sweeping Sweep official and third-party stores, messaging channels and ad networks, and scan brand permutations for newly registered domains serving live payloads.
  • Certificate clustering Cluster application signatures against a historical certificate corpus to show how many separately listed clones share one signing identity.
  • Infrastructure pivoting Tie command-and-control and delivery domains together through registration, hosting and passive DNS history into a single registrant fingerprint.
  • Victim telemetry Map affected session geography and volume to scope customer impact and prioritize containment communications.
  • Actor-level removal filing File across every listing, channel and domain at once with certificate-referenced evidence, and poll registrar and store responses through to confirmation rather than to submission.

See CoAnalyst360 on your own data

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Illustrative scenario. The incidents, investigations, individuals, organizations, communications, identifiers, and investigative findings depicted here are fictional and created for demonstration purposes. Real-world locations, geographic features, public infrastructure, and other contextual references may be used to make the scenario realistic. Their inclusion does not indicate that the events shown actually occurred or that any real person or organization was involved.