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▯ Phones simulation

SIM Swap Attack Simulator

Explore SIM Swap Attack Simulator as a safe interactive Phones security simulation. No real target is scanned, authenticated to or exploited.

Educational simulation: no real target is contacted. Use only a public label or made-up example. Do not enter credentials, OTPs, cookies, recovery codes, API keys or private keys.

Configure Synthetic Target

Results reflect only the choices above. They are not a vulnerability assessment of a real target.

Attack Lab SYNTHETIC

Waiting for simulation…
0/100
Result
Simulated exposure — higher means more modeled attack paths.
Defense mode: strengthen weak controls above and replay the simulation.
Quick answer

Mobile-device risk is shaped by update status, lock-screen strength, app trust, link handling, account recovery and backup security. A strong device posture reduces both opportunistic and targeted attack paths.

What the SIM Swap Attack models

Nothing is installed or inspected. The simulator uses only the choices you make in the page and does not access the phone, SIM, messages, apps or mobile account.

Strong recovery design reduces reliance on a single phone number and uses stronger verification for sensitive account changes.

The interactive score changes only when you change the controls on this page. That makes it useful for comparing stronger and weaker configurations, but it does not establish the security state of a real target.

Security factors used in this simulation

OS updates

Security updates remove known weaknesses and reduce exposure to attacks that depend on old components.

Modeled choices: Current · Behind · Very old

Screen lock

This control changes how much trust or capability is available in the modeled scenario.

Modeled choices: Strong PIN/biometric · Simple PIN · Weak/none

App installation

This control changes how much trust or capability is available in the modeled scenario.

Modeled choices: Official stores · Some sideloading · Unknown apps

SMS/link caution

This control changes how much trust or capability is available in the modeled scenario.

Modeled choices: High · Average · Low

Protected backups

Protected, tested backups reduce impact and improve recovery when prevention fails.

Modeled choices: Yes · Unknown · No

Warning signs defenders should recognize

  • Unknown apps or configuration profiles
  • Unexpected SIM or recovery notifications
  • New device sessions on important accounts
  • Battery/network activity that is difficult to explain
  • Repeated links or prompts asking you to re-authenticate

How to reduce the modeled risk

  1. Install OS and security updates promptly
  2. Use a strong device lock and secure account recovery
  3. Install apps only from trusted sources
  4. Review high-risk app permissions
  5. Treat unexpected links and account prompts with caution

What this simulator does not do

It does not discover passwords, bypass authentication, capture traffic, execute code, scan hosts, test payloads against a live service or prove that a real target can be compromised. Any name, domain, SSID or handle entered above is display text for the local simulation only.

Frequently asked questions

Does this SIM Swap Attack actually hack a real target?

No. It is a synthetic educational simulation. The page does not scan, authenticate to, exploit or modify a real account, device, network, website, API or cloud service.

What does the SIM Swap Attack risk score mean?

It is a deterministic simulation score based only on the options you select. It is not proof that a real target is vulnerable and it is not a penetration-test result.

Why does OS updates matter in this scenario?

Security updates remove known weaknesses and reduce exposure to attacks that depend on old components.

Can I enter a real name or domain in the SIM Swap Attack?

Use only a public label or a made-up example. The text personalizes the on-screen simulation, but you should never enter passwords, OTPs, cookies, recovery codes, API keys or private keys.

What should I do after running the SIM Swap Attack?

Switch weak selections to stronger defensive controls and run it again. The purpose is to see how layered defenses close simulated attack paths.

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