Abstract privacy scan illustration showing a protected phone, shield, and encrypted evidence signals.
Privacy empowered

DeSpy

Take back control of your digital life. DeSpy runs a smart, deep-system scan to find and isolate hidden tracking apps, stalkerware, and unauthorized background monitors. One-tap execution. Absolute privacy.

Threat education that treats the user like an adult.

A compromised phone rarely announces itself. DeSpy looks for overlapping technical signals that standard antivirus checks often miss or cannot see from inside the device sandbox.

Threat intelligence cards arranged around a radar visualization.
Spyware

Deep surveillance apps

Collect messages, photos, location, browser history, microphone access, and app data. They often hide behind generic names, accessibility abuse, notification suppression, or sideloaded profiles.

Stalkerware

Coercive monitoring

Frequently installed by someone with physical access. Common IoCs include unknown device administrators, persistent location polling, strange battery patterns, suspicious app permissions, and cloud account access from unfamiliar devices.

Trackerware

Commercial tracking stacks

May appear as parental control, safety, or productivity software while quietly exporting telemetry. DeSpy highlights the exact bundle IDs, package names, domains, and persistence mechanisms that triggered concern.

Unauthorized MDM

Remote policy control

Malicious or abusive management profiles can enforce VPNs, certificates, restrictions, app installs, web filters, and remote wipe capability. DeSpy flags unknown profiles and explains what the profile can control.

Root and jailbreak

Security boundary changes

Rooting or jailbreaking can be user-approved, attacker-driven, or left behind after a repair. Indicators include suspicious filesystem paths, package managers, tampered trust stores, hooks, and debug services.

Cloud account abuse

Telemetry outside the phone

Compromise may live in the account rather than the handset. DeSpy correlates sign-ins, OAuth grants, app passwords, device history, and user-provided context with extracted device artifacts.

What suspicious evidence can look like.

Evidence matrix dashboard with suspicious signal rows and risk bars.
SignalWhat it doesWhy it mattersCommon evasion
Unknown MDM profileControls policies, certificates, app installs, traffic routesCan turn a personal device into a managed endpointUses bland organization names or hides inside legitimate enrollment language
Accessibility service abuseReads screens, clicks UI, captures notificationsOften bypasses app-level permission expectationsMasquerades as battery, cleaner, or support tools
Suspicious OAuth grantAllows third-party cloud access without a passwordPersists after password changes unless revokedUses plausible app names or broad scopes
Jailbreak/root artifactsShows system trust boundary changesExpands what surveillance tools can accessDeletes visible apps while leaving hooks, paths, or services
Unexpected app container tracesReveals installed or previously installed toolsCan identify exact surveillance familiesRenames packages, delays sync, or removes launcher icons

The extraction funnel.

DeSpy is designed to explain the full path from raw evidence to risk probability, without asking the user to trust a black box.

Extract device dataLogical and forensic acquisition paths collect the strongest available Android and iOS evidence without changing the protected scanning engine.
Pull safe cloud telemetryAccount imports add sign-ins, OAuth grants, app passwords, device history, and other off-device context.
Correlate signalsDeSpy compares extracted artifacts, account activity, user context, threat intelligence, and known IoCs.
Explain the riskThe report shows what was found, why it was flagged, what research supports it, and what the user can do next.
Four-step DeSpy extraction funnel from device evidence to explained risk.

A report designed to be read under stress.

Evidence-first report dashboard showing confidence, flagged artifacts, and next actions.

Evidence-first findings

Each detection describes the artifact, the source, the confidence, and the direct reason DeSpy flagged it.

Research-backed context

Findings carry links to vendor research, public reports, package references, and relevant platform documentation.

Actionable next steps

Users get practical containment and verification actions: revoke grants, inspect MDM, rotate credentials, preserve evidence, or escalate.

Regression-tested intelligence

Threat updates and dependency changes pass golden-device simulations before entering the staging library for review.