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Source channel @githubtrending · Post #15391 · Jan 5

#python#adb#agents#ai#android#appium#automation#dynamic_analysis#frida#magisk#mcp#mcp_server#mobile_security#pentesting#remote_control#reverse_engineering#security#uiautomation#uiautomator2#workflow#xposed FIRERPA is a powerful Android automation tool that runs on-device with root access, works on versions 6.0 to 16, and offers low-latency remote desktop, 160+ APIs, Python SDK, and AI integration for tasks like testing, data collection, and forensics. It needs no extra setup, stays stable for large-scale use, and beats other tools in compatibility. You benefit by automating mobile tasks quickly, saving time on development and monitoring, with easy visual control for reliable results. https://github.com/firerpa/lamda

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djangoproject

@djangoproject · Post #265 · 02/18/2017, 06:47 AM

http://lucumr.pocoo.org/2016/12/29/careful-with-str-format/ #security This should have been obvious to me for a longer time, but until earlier today I did not really realize the severity of the issues caused by str.format on untrusted user input. It came up as a way to bypass the Jinja2 Sandbox in a way that would permit retrieving information that you should not have access to which is why I just pushed out a security release for it. However I think the general issue is quite severe and needs to be a discussed because most people are most likely not aware of how easy it is to exploit.

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Libreware

@libreware · Post #1398 · 02/02/2025, 08:22 AM

DisableGoogleAnalytics https://gitlab.com/adrian.m.miller/disablegoogleanalytics Attempts To Disable Common Google Analytics And Ads Receivers In All Affected Packages What it does/How it works: On 1st run after rebooting after install the module is assuming you want it to disable the listed analytics and ad receivers, so it will: Wait till boot is completed Then sleep for 2 minutes Then test that cpu usage is under 30% before running It will then disable the analytics and ad receivers as listed below, and log its progress to /sdcard/fixgoogleanalytics.log Common Analytics And Ad Recievers: com.google.android.gms.analytics.AnalyticsJobServicecom.google.android.gms.analytics.CampaignTrackingServicecom.google.android.gms.measurement.AppMeasurementServicecom.google.android.gms.measurement.AppMeasurementJobServicecom.google.android.gms.analytics.AnalyticsReceivercom.google.android.gms.analytics.CampaignTrackingReceivercom.google.android.gms.measurement.AppMeasurementInstallReferrerReceivercom.google.android.gms.measurement.AppMeasurementReceivercom.google.android.gms.measurement.AppMeasurementContentProvidercom.crashlytics.android.CrashlyticsInitProvidercom.google.android.gms.ads.AdActivitycom.google.firebase.iid.FirebaseInstanceIdService Once complete the service.sh script will delete itself Once that happens any further interaction is purely via the included dga script as a binary in /system/(x)bin dga takes 2 arguments, disable or enable, though i doubt too many will be looking to enable analytics and ad receivers, unless the disabling has unwanted effects on their system, which is high time to include the usual disclaimer that you run this at your own risk and not even dga enable is garaunteed to undo the changes Module Installation: Download from Releases Install the module via #Magisk app/Fox Magisk Module Manager/MRepo Reboot Usage: After first run optmization has completed, any further interaction is purely via the included dga script as a binary in /system/(x)bin: dga takes 2 arguments, disable or enable, though i doubt too many will be looking to enable analytics and ad receivers, unless the disabling has unwanted effects on their system, which is high time to include the usual disclaimer that you run this at your own risk and not even dga enable is garaunteed to undo the changes Uninstall Note: Uninstalling the module will not reverse the changes, if your intention is to uninstall the module and re-enable the analytics and ad receivers, please run dga enable first

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Libreware

@libreware · Post #1043 · 02/14/2022, 05:12 AM

#magisk 24.1 John Wu (@ topjohnwu) https://twitter.com/topjohnwu/status/1487029923428519941

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Libreware

@libreware · Post #1031 · 01/22/2022, 03:16 PM

#Magisk fork by TheHitMan7 keeping the removed "Magisk Hide" functionality Repository: https://github.com/TheHitMan7/Magisk Files: https://github.com/TheHitMan7/Magisk-Files Or https://t.me/magiskcustom Discussion: https://t.me/custommagisk Remember that Google corporation bought Magisk developer and extorted him to remove that functionality: https://t.me/NoGoolag/5202 https://t.me/NoGoolag/5229 https://t.me/NoGoolag/7628 https://t.me/NoGoolag/7712

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Libreware

@libreware · Post #1497 · 09/05/2025, 02:38 PM

ChatterUI - A simple app for LLMs https://github.com/Vali-98/ChatterUI https://t.me/chatterui ChatterUI is a native mobile frontend for LLMs. Run LLMs on device or connect to various commercial or open source APIs. ChatterUI aims to provide a mobile-friendly interface with fine-grained control over chat structuring. Features: Run LLMs on-device in Local Mode Connect to various APIs in Remote Mode Chat with characters. (Supports the Character Card v2 specification.) Create and manage multiple chats per character. Customize Sampler fields and Instruct formatting Integrates with your device’s text-to-speech (TTS) engine Usage Download and install latest APK from the releases page. iOS is Currently unavailable due to lacking iOS hardware for development Local Mode ChatterUI uses a llama.cpp under the hood to run gguf files on device. A custom adapter is used to integrate with react-native: cui-llama.rn To use on-device inferencing, first enable Local Mode, then go to Models > Import Model / Use External Model and choose a gguf model that can fit on your device's memory. The importing functions are as follows: Import Model: Copies the model file into ChatterUI, potentially speeding up startup time. Use External Model: Uses a model from your device storage directly, removing the need to copy large files into ChatterUI but with a slight delay in load times. After that, you can load the model and begin chatting! Note: For devices with Snapdragon 8 Gen 1 and above or Exynos 2200+, it is recommended to use the Q4_0 quantization for optimized performance. Remote Mode Remote Mode allows you to connect to a few common APIs from both commercial and open source projects. Open Source Backends: koboldcpp text-generation-webui Ollama Dedicated API: OpenAI Claude (with ability to use a proxy) Cohere Open Router Mancer AI Horde Generic backends: Generic Text Completions Generic Chat Completions These should be compliant with any Text Completion/Chat Completion backends such as Groq or Infermatic. Custom APIs: Is your API provider missing? ChatterUI allows you to define APIs using its template system. Read more about it here! #ai#Android

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djangoproject

@djangoproject · Post #400 · 08/03/2017, 02:54 PM

https://pyup.io/safety/ Safety checks your dependencies for known #security vulnerabilities. Don't ship insecure code. #Django

The Devs

@thedevs · Post #1166 · 07/07/2018, 05:49 PM

10 common security gotchas in Python and how to avoid them. #article#security#python @thedevs https://kutt.it/07xiPJ

Libreware

@libreware · Post #1000 · 10/27/2021, 12:44 AM

FakeXposed Hide xposed, root, file redirection, etc. https://github.com/sanfengAndroid/FakeXposed Download: https://github.com/sanfengAndroid/FakeXposed/releases/latest #FakeXposed#xposed

djangoproject

@djangoproject · Post #275 · 03/18/2017, 01:51 AM

https://github.com/spotify/luigi Writing batch jobs is generally only one part of processing heaps of data; you also have to string all the jobs together into something resembling a #workflow or a #pipeline. #Luigi, created by Spotify and named for the other plucky plumber made famous by Nintendo, was built to "address all the plumbing typically associated with long-running batch processes." With Luigi, a developer can take several different unrelated data processing tasks — "a Hive query, a Hadoop job in Java, a Spark job in Scala, dumping a table from a database" — and create a workflow that runs them, end to end. The entire description of a job and its dependencies are created as Python modules, not as XML config files or another data format, so it can be integrated into other Python-centric projects. #Machine_learning