The Chaos Automation Solves
If you’ve read my previous deep-dives on Argus, you know I hate running twelve browser tabs just to establish a web target’s attack surface. If you caught my piece on Automating DAST with Burp + AI Agents, you know I am obsessed with context-aware AI tools that interact with your local environment instead of simply generating generic ChatGPT responses.
But when it came to real-world mobile assessments, my daily workflow still felt like a fragmented multi-terminal nightmare.
Every single engagement looked exactly like this:
- Pull the
base.apkfrom the device using ADB. - Run it through a static analyzer.
- Keep
logcatstreaming in terminal tab. - Dig through personal notes to copy and paste a Frida SSL pinning bypass into another terminal.
- Spin up
mitmproxyor configure Burp Suite listeners in another window. - Manage a messy spreadsheet just to track OWASP MASTG compliance.
The frustration was obvious:
We have fantastic individual tools, no one has built a unified, single-pane platform that bridges the gap between static code analysis, physical USB hardware, live runtime hooking, and reporting.
So, I built TraceForge Mobile lab.
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The Architecture: Bringing the Machine to the Browser
Browsers are notoriously sandboxed. They cannot natively execute an ADB binary, communicate over Apple’s Lockdown protocol, or interface directly with a local Frida server.
To solve this without sacrificing security or privacy, TraceForge operates on a hybrid architecture:
+-------------------------------------------------------------------+
| TraceForge Browser UI — all tabs, one session |
| (Client-Side Static Analysis, MASTG Engine, LocalStorage Cache) |
+-------------------------------------------------------------------+
| | |
(WebUSB / WebSerial) | (WebSocket API) | (WebSocket API)
| | |
v v v
+------------------+ +-------------------+ +-------------------+
| Physical Phone | | `frida-bridge` | | `mitm-bridge` |
| (Android Debug) | | (Runtime Hooking) | | (Traffic Capture) |
+------------------+ +-------------------+ +-------------------+By leveraging WebUSB, TraceForge can control an Android device directly from Chrome or Edge - allowing you to drop an APK into your browser, run a 100+ point static heuristic scan, and pull live logs without a single byte of code leaving your computer.
When you need heavy-hitting dynamic runtime analysis, lightweight local Node.js bridges (frida-bridge, mitm-bridge, ios-bridge) spin up seamlessly on your host machine to stream runtime execution data directly back to the browser UI over WebSockets. A session status bar sits constantly under the navigation bar, probing the health of your bridges so you always know what is live.
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Deconstructing the Core Labs
The core philosophy of TraceForge is simple: One app scan → one session → every other tab knows about it.
1. Zero-Server Static Lab
Uploading proprietary client applications to a random SaaS scanner is a critical data-leak liability. The TraceForge Static Lab runs entirely client-side within your browser’s memory.
➤ 100+ Deep Heuristics: Instantly flags weak cryptographic implementations, insecure network configurations, hardcoded secrets, misconfigured WebViews, and un-exported Android components.
➤ Recon Diffing: Drop this week’s build alongside last week’s build to highlight new permissions, modified strings, or newly exposed attack surfaces instantly.
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Press enter or click to view image in full size
2. Frida Playbook - From Static Signals to Runtime Hooks
Instead of fumbling with raw terminal scripts, the Frida lab acts as a visual orchestration layer.
➤ Contextual Suggestions: It reads the pinning, root-detection, and integrity signals discovered during your static scan and automatically recommends the appropriate bypass modules (e.g., ssl-unpin-android).
➤ Live Runner: Connects to frida-bridge (ws://127.0.0.1:8768) running locally. You can spawn or attach by package ID, streaming stdout and stderr directly into the interface.
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Press enter or click to view image in full size
3. Physical Device Lab (Android via WebUSB)
No local platform-tools installation is required for basic operations if you are running Chrome or Edge.
➤ Fully interactive shell access directly from the browser tab.
➤ One-click package inspection, app launching, full device screen recording, and automated screenshot capture.
➤ Logcat Filtering Engines: Specialized preset streams built specifically for tracking OkHttp requests, active SSL handshakes, target runtime crashes, and basic tamper indicators.
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Press enter or click to view image in full size
4. Transparent Network Lab & Mitm Core
Correlate network anomalies with your code findings in real-time.
➤ Traffic Capture: Run npm run mitm-bridge locally to intercept HTTP/HTTPS traffic through mitmproxy on port 8080.
➤ The Pinning Lab: A specialized visual debugger that cross-references known pinning methods found during your static scan with runtime TLS connection failures.
➤ Export clean, pre-redacted HAR files straight into external reporting systems.
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5. SDK Radar
Maps third-party SDK fingerprints (Stripe, Firebase, Crashlytics) from static analysis and correlates them with live traffic hosts shared from your network captures. It answers the fundamental privacy question: What data is leaving the device, and where is it going?
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6. Engagement Report
Stop formatting deliverables at midnight. In one click, export your session data, metadata, evidence notes, and MASTG status into styled HTML reports, corporate Word documents, or clean Playbook Markdown for developer handoff.
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7. iOS Lab (Static Posture)
Dedicated static analysis for iOS IPAs. Scrapes bundle metadata, App Transport Security (ATS) exceptions (NSAllowsArbitraryLoads), custom URL schemes for deep-link hijacking reviews, and provisioning profile entitlements (get-task-allow).
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8. iOS Device Tools
Real iOS orchestration requires a local daemon. By running npm run ios-bridge on your host machine, you can leverage libimobiledevice and pymobiledevice3 to list user-installed apps, capture screenshots, and tail the device syslog.
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9. An AI Security Agent That Has Context
This is not a generic chat window where you copy-paste error messages. By providing your own API key (stored entirely within the browser’s Local Storage), the TraceForge AI Agent gains read-only access to your current working context.
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You can issue complex, environment-aware instructions such as:
Review the top 3 high-severity static findings for this app.
Check our connected device's logcat stream for corresponding errors,
and write a tailored Frida script to dump the encryption keys
from the flagged class. Do not execute destructive actions.The agent writes tailored scripts, analyzes application flow snapshots, and suggests targeted manual verification vectors mapped directly to the OWASP MASTG checklist.
[User Prompt] ──> [AI Agent] ──> Calls tool: adb_run("dumpsys activity") ──>
[Approval Gate: CLICK TO PERMIT] ──> ExecutedPress enter or click to view image in full size
Press enter or click to view image in full size
How This Fits Your Real-World Workflow
Scenario A: The Bug Bounty Hunter
- Open TraceForge via the hosted URL in Chrome.
- Go to Device Lab, connect your phone over USB, select your target package, and click Static-scan to automatically extract the
base.apk/base.ipa. - Review the static findings and launch the pre-configured Frida Playbook auto-bypass bundle.
- Open the Network Lab to monitor API requests as you map the application.
- Ask the AI Agent to summarize the network traffic flows and cross-reference them with hardcoded strings.
Scenario B: Internal Product Security / Release Reviews
- Drop your team’s weekly CI build (
.apkor.ipa) into the Static Lab. Because parsing is completely client-side, zero data hits external servers. - Run a Recon Diff against last week’s release build to verify if new permissions or untested third-party SDK trackers were introduced.
- Export the Playbook Markdown and pass it directly to the engineering team for remediation.
Setting Up Your Lab Environment
Method A: Instant Cloud Static Analysis (Zero Setup)
If you only need immediate static reporting, compliance mapping, or artifact analysis:
- Navigate directly to the live environment: traceforge-security-intelligence07.vercel.app
- Drag and drop any target
.apkor.ipabundle. - Review your complete posture report instantly.
Method B: Full-Stack Local Mode (Android + iOS + Frida + Proxy)
To hook runtime processes, intercept network traffic, and bridge hardware devices, clone the project locally:
# Clone and install core web workspace
git clone https://github.com/Ankitspandey07/Traceforge-MobilePentestLab.git
cd Traceforge-MobilePentestLab
npm install
npm run dev # Open http://localhost:3000 in your browser.Now, initialize your orchestration bridges in adjacent terminal splits depending on your active testing needs:
# Spin up the Frida environment link
npm run frida-bridge# Spin up the dynamic interceptor proxy
npm run mitm-bridge# Spin up the iOS Lockdown platform toolset (Mac recommended)
brew install libimobiledevice ideviceinstaller ios-deploy
pipx install pymobiledevice3
npm run ios-bridgeFeature Matrix: Hosted vs. Local
Let’s establish honest expectations about what runs completely in the cloud versus what requires your laptop. When you use the live Vercel link, everything runs natively in your browser sandbox. When you need to talk to physical phone hardware, spinning up local bridges unlocks full hardware access.
Here is exactly what you get across both setups:
Cloud Engine (Hosted / Deployment)
- Static Code Extraction & Analysis -
[AVAILABLE](100% client-side parsing inside browser memory) - MASTG Mapping & Report Generation -
[AVAILABLE](Export HTML, Word, or Markdown templates immediately) - AI Agent Context Integration -
[AVAILABLE](Bring Your Own Key via secure LocalStorage) - Android WebUSB Device Lab Control -
[AVAILABLE](Direct hardware debugging via Chrome or Edge over USB) - Third-Party SDK Radar & Correlation -
[AVAILABLE](Fingerprint parsing and host matching after static scan) - Static iOS Posture Analysis -
[AVAILABLE](Extracts ATS, URL schemes, and entitlements after IPA scan) - Live Frida Runtime Orchestration -
[LOCAL ONLY](Requires backgroundfrida-bridgeto handle local device processes) - Intercepting Network Proxy Streams -
[LOCAL ONLY](Requires backgroundmitm-bridgeto route traffic) - iOS Native Device Link Exploration -
[LOCAL ONLY](Requires backgroundios-bridgefor Apple Lockdown protocols)
Local Host Engine (npm run dev)
- Static Code Extraction & Analysis -
[AVAILABLE] - MASTG Mapping & Report Generation -
[AVAILABLE] - AI Agent Context Integration -
[AVAILABLE] - Android WebUSB Device Lab Control -
[AVAILABLE] - Third-Party SDK Radar & Correlation -
[AVAILABLE] - Static iOS Posture Analysis -
[AVAILABLE] - Live Frida Runtime Orchestration -
[AVAILABLE](Fully unlocked via WebSocket hooks) - Intercepting Network Proxy Streams -
[AVAILABLE](Live stream parsing directly to the UI) - iOS Native Device Link Exploration -
[AVAILABLE](Talks natively to connected iPhones via USB)
What’s Next & Contributing
TraceForge is built to eliminate the tedious “setup tax” from mobile security operations, letting you spend more time hunting critical bugs and less time managing disconnected terminal windows.
As a reminder, always secure explicit written validation and testing authorization before running runtime hooks or intercepting application traffic on assets you do not own.
The framework is actively growing. The current roadmap includes improved support for Android split APK merging, cleaner automated workflows for non-jailbroken iOS devices, and team persistence states.
Got Questions or Want to Discuss AI Security?
If you want to contribute modules, request features, or report unexpected quirks, check out the repository! I am always happy to chat about vulnerabilities, testing strategies, and the latest attack vectors. Feel free to reach out or drop your thoughts in the comments; I’ll be happy to help, collaborate, or learn from your experiences.
👉 GitHub Repository: Ankitspandey07/Traceforge-MobilePentestLab
👉 Live Workspace: TraceForge Dashboard
👉 Professional Networking: Connect on LinkedIn
Happy Hacking! 🚀