Deep static analysis of Android APK files using our proprietary ensemble machine learning engine.
Securing Android Ecosystems • v1.6.1
UploadanAPKfiletocheckforanysecurityrisks.
Features
A comprehensive toolkit for Android malware detection powered by state-of-the-art ML.
Powered by an Artificial Neural Network (ANN) trained on 20,000+ samples for complex pattern recognition.
Simultaneously analyzes permissions, services, and intent filters to identify hidden malicious behaviors.
Engineered to detect malware that uses code-hiding techniques (Obfuscation) to bypass traditional scanners.
Beyond just 'Safe' or 'Unsafe'—categorizes threats into SMS Malware, Banking Trojans, Adware, and Riskware.
Trained against adversarial attacks to ensure the model remains robust against manipulative malware samples.
Get detailed deep-learning verdicts with granular confidence scores for every malware category.
ScanDroid AI uses a 3-layer ensemble of independently trained classifiers. Each model analyzes 500+ static features extracted from APK manifests, permissions, API calls, and intent filters.
Final verdicts are determined by majority voting with weighted confidence scores, achieving 98.4% accuracy on the Drebin benchmark dataset.
Security Deep-Dive
Protecting your device by inspecting the deep structural integrity of every application.
Android apps run in isolated sandboxes. We analyze if an APK attempts to break these boundaries.
Identifying apps that collect sensitive device identifiers like IMEI without functional need.
Flagging apps requesting access used by hackers to read your screen in real-time.
Detecting cloaking where a malicious app draws an invisible layer over legitimate apps.
A simple three-step pipeline — upload, extract, classify — with a security-first verdict.
Drag & drop your Android APK file into the scanner for analysis.
Our engine extracts 500+ static features from permissions and APIs.
Ensemble models vote on the verdict with granular confidence scores.
Pre-screen APKs before Play Store submission to ensure clean releases.
Rapid triage of suspicious APKs in incident response workflows.
Protect corporate Android fleets with automated malware scanning policies.
Analyze malware datasets and benchmark detection models at scale.
Pricing
Start free. Scale as you grow — without hidden fees.
For individual researchers and testing phase.
Best for growing teams and serious developers.
Advanced intelligence for high-scale operations.
Testimonials
Real feedback from teams using ScanDroid AI in production workflows.
“ScanDroid AI cut our APK review time by 80%. The ensemble approach catches threats our previous tools missed entirely.”
Dr. Sarah Kim
Security Researcher, CyberLab
“We integrated the API into our CI/CD pipeline. Every build gets scanned automatically before release. Game changer.”
Marcus Chen
Lead Android Developer, Appify
“The accuracy is remarkable. We evaluated it against our internal benchmarks and it outperformed every commercial solution we tested.”
Priya Sharma
CTO, SecureStack
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