I

I built Exfault, agentic mobile app pentesting tool

Hacker News

I built Exfault, agentic mobile app pentesting tool

Hi HN, I am the creator of Exfault. I am building autonomous AI agents that find vulnerabilities in Android apps. I have noticed there are growing number of AI native pentesting tools for web apps but very few for mobile or Android. With more mobile apps being shipped quickly due to vibe coding, I wanted to build an AI native security tool specifically for Android apps. Exfault combines static and dynamic analysis with AI agents using tools like adb,jadx, apktool for static analysis and reverse engineering, frida for dynamic analysis, hermes-dec for React native decompilation. The AI agents have access to real Android emulators to peform navigation, explore functionality and validate vulnerabilities before reporting them improving both the quality of reports and also the rate of false positives. Instead of uploading an apk or aab, you can simply enter an Android package name (com.example.app), Our backend automatically acquires a compatible build, installs it in an emulator so the agents can test your app. For authenticated testing, you can provide test credentials and the agent will automatically sign in and continue exploring the authenticated attack surface. I'm also working on a human-in-the-loop login helper for more complex authentication flows involving MFA, Email verification etc. There's a free demo available if you'd like to try it on your own app. I'd really appreciate your thoughts and feedback! https://exfault.com

Share card

Actual performance

6points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, agentic · Missing: mac, macos, cursor
86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: compatible · Missing: supports, reddit linkedin, podcasting
86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: mobile apps, apps · Missing: ios, personal, entrepreneurs
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Mo
Mobile App Grader42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mobile App Grader

Hacker News6
Mo
Mobile App Automizer42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mobile App Automizer

Hacker News22
Th
The Crowdtilt Mobile App42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Crowdtilt Mobile App

Hacker News35
Satsport
Satsport34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

satsport mobile app

Indie Hackers
da
dal-app-148%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

a mobile app

TrustMRR267$3,759/moMobile Apps
Hi
Highrise mobile app we built in C# and Xamarin54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Highrise mobile app we built in C# and Xamarin

Hacker News5
Sv
Svelte Mobile App Built with Capacitor45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Svelte Mobile App Built with Capacitor

Hacker News1
We
We built Windchime, a mobile app to save on quality dentistry42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We built Windchime, a mobile app to save on quality dentistry

Hacker News4
A
A metric-tracking, mobile app43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A metric-tracking, mobile app

Hacker News1
Dirt Slingin Tech
Dirt Slingin Tech63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

DST Mobile App

Indie Hackers1$500/moai