09Threat-model a mobile banking app. Which controls belong on the device, and which must stay on the server?▼mediumNewJPMorgan ChaseAppleGoogle○ sign inThe device is in the attacker's hand in half the scenarios. A strong model sorts threats by where the attacker sits, then puts every decision that moves money behind a check the phone cannot fake.Open full answer →
13What do Play Integrity and App Attest actually prove, and how do you build a backend that uses them correctly?▼hardNewGoogleAppleJPMorgan Chase◆ premiumAttestation gives your server a signed statement it did not have to trust the client for. The design question is what that statement covers, how you bind it to a request, and what you do when it is missing.Open full answer →
27How does mobile malware actually steal money and data without exploits? Explain Accessibility abuse, overlays, SMS theft and sideloading.▼mediumNewGoogleAppleMicrosoft◆ premiumMost mobile malware never breaks the sandbox. It persuades the user to hand over the permissions that let it read the screen and act as them.Open full answer →
21How are spam, fraud and malware classifiers trained, and how do attackers evade them?▼mediumNewGoogleMicrosoftCrowdStrike◆ premiumAI security did not start with LLMs. The scored answer explains how these classifiers learn, the adversarial dynamics they have lived with for decades, and the lessons that carry over.Open full answer →
16How would you red-team a fraud detection model?▼hardNewJPMorgan ChaseAmazonMeta◆ premiumFraudsters are the original adaptive adversaries. The scored answer attacks with realistic, feasible changes, probes the whole decision system rather than the model alone, and measures dollars, not just accuracy.Open full answer →