Binaries are public
Apps on the App Store and Google Play are already distributed executables. Anyone can download them and spend as much time as they want analyzing them locally.
MOBILE APP VULNERABILITY MANAGEMENT CLOUD
Find mobile app vulnerabilities. Manage them through remediation.
Abyss scans iOS and Android binaries with an OWASP MAS-aligned AI engine, then brings every finding, owner, and remediation status together in one cloud.
An app you distribute becomes an analysis target as-is. Defenders need to read the binary first, from the same point of view.
Apps on the App Store and Google Play are already distributed executables. Anyone can download them and spend as much time as they want analyzing them locally.
API endpoints, hardcoded keys and tokens, and traces of internal logic can expose possible paths into backend systems from the binary alone.
Obfuscation, dynamic loading, and large symbol surfaces make manual static analysis slow and incomplete, leaving areas that only look reviewed.
At the core of Abyss is an OWASP Mobile Application Security (MAS)-aligned static analysis engine developed by m1st. AI powers the exploration, while procedure, domain knowledge, and control stay in the engine.
The engine decides what to inspect next and chains observations together as it digs deeper. Analysis moves forward without a human hand-building each query.
Models can be swapped, but static analysis procedures, specialist knowledge, and controls remain in the engine. The same depth can be reproduced consistently without relying on individual reviewers.
The engine maps mobile app risks to the OWASP Mobile Application Security framework, giving teams a recognized foundation for consistent assessment and remediation.
Abyss supports both iOS and Android. From a single public binary, it identifies possible entry points into your server side.
Starting from FairPlay-decrypted binaries, Abyss follows Mach-O symbols, string references, and xrefs to reconstruct internal structure.
Abyss builds smali graphs from apktool-expanded APKs and applies OWASP MAS-aligned static analysis at the same depth as iOS.
Extracts backend communication targets comprehensively from strings and references inside the binary.
Detects hardcoded tokens, API keys, certificates, and other secret material.
Finds traces of auth flows, Keychain / KeyStore access, feature flags, and similar internals.
Visualizes routes that could reach server-side systems from the binary alone.
For the same vendor or product, compares parity across both operating systems.
Exports findings as reports, SARIF, or CycloneDX for the tools and workflows your team already uses.
Keep every mobile app finding in Abyss after the scan. Prioritize risk, coordinate ownership, and track remediation without losing the evidence behind each vulnerability.
Review severity, evidence, and affected apps in one queue so teams can focus on the risks with the greatest impact.
Assign owners and follow status from detection through remediation while keeping the technical context attached.
Manage findings across repeated scans and releases to understand what was fixed, what returned, and what remains open.
Abyss connects analysis and vulnerability management in one continuous workflow.
Upload an IPA or APK. For iOS, Abyss accepts FairPlay-decrypted binaries; for Android, it accepts APKs directly.
The proprietary AI engine examines APIs, credentials, data handling, and implementation traces against a recognized mobile security framework.
Review evidence, prioritize risk, assign owners, and keep every finding moving in the Abyss vulnerability workspace.
Track findings through closure and export results as SARIF or CycloneDX for downstream development and security tools.
App binaries are examined in a controlled local analysis environment. The resulting findings move into Abyss for secure, continuous vulnerability management across teams and releases.
We will send the Abyss service guide, analysis scope, and onboarding flow. Tell us about your app and the risks you want to verify.
Your inquiry and app information are handled under confidentiality.