Mobile-Security-Framework-MobSF
Deep Java Library (DJL)
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Mobile-Security-Framework-MobSF | Deep Java Library (DJL) | |
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6 | 13 | |
16,130 | 3,792 | |
2.5% | 1.8% | |
8.7 | 9.4 | |
6 days ago | about 14 hours ago | |
JavaScript | Java | |
GNU General Public License v3.0 only | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Mobile-Security-Framework-MobSF
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Can anyone recommend a good tool to pentest mobile apps?, I have the packages locally. Thanks
I can say only for android: - General Scanner -> https://github.com/MobSF/Mobile-Security-Framework-MobSF - Decompiler -> https://github.com/skylot/jadx
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Strengthen your Android or iOS Application Security using MobSF - Learn by example (2021)
# This will download MobSF into a folder # called Mobile-Security-Framework-MobSF git clone https://github.com/MobSF/Mobile-Security-Framework-MobSF.git
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Tools and Skills to be the Bug Bounty Hunting.
MobiSRF:Mobile Appliation testing)Mobile Security System (MobSF) is an integrated, all-in-one mobile device pen-testing, malware analysis, and vulnerability evaluation system capable of conducting static and dynamic analysis (Android/iOS/Windows). MobSF accepts mobile app binaries (APK, XAPK, IPA, and APPX) as well as zipped source code and offers REST APIs for seamless integration with your CI/CD or DevSecOps pipeline.You may use the Dynamic Analyzer to conduct runtime security assessments and immersive instrumented monitoring.
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Weekly Developer Roundup #21 - Sun Nov 08 2020
MobSF/Mobile-Security-Framework-MobSF (Python): Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing, malware analysis and security assessment framework capable of performing static and dynamic analysis.
Deep Java Library (DJL)
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Is deeplearning4j a good choice?
It seems to have been picked up by Eclipse and there is also Oracle Labs' Tribuo and Deep Java Library. All seem active, but I don't know much about any of them. I agree it's probably best to follow the community and use a more popular tool like PyTorch.
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Just want to vent a bit
Although it may be a bit more work, you can do both machine learning and AI in Java. If you are doing deep learning, you can use DeepJavaLibrary (I do work on this one at Amazon). If you are looking for other ML algorithms, I have seen Smile, Tribuo, or some around Spark.
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Best way to combine Python and Java?
Image preprocessing I know less about, but tokenization is something I've dealt with a bunch. There are a few options, either push the tokenizer into the ONNX model and use MS's ONNX Runtime extensions (we've used this when working with sentencepiece tokenizers), port the tokenizer entirely to Java (we did this for BERT), or use a sentencepiece or HF tokenizers wrapper directly (e.g. Amazon's DJL did this - HF, sentencepiece).
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Anybody here using Java for machine learning?
https://djl.ai/ seems very promising. I've played around with it quite a bit, not in real production though. It's a very well documented (https://d2l.djl.ai/) and active project, with Amazon working on it.
Well, we've been using Tribuo in production for many years now. The ONNX Runtime Java API that I maintain in MS's ONNX Runtime project has also seen a bunch of uptake in companies, and Amazon have been building DJL for several years too.
- Good document classification library in Java
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2021-09 - Plans & Hopes for Clojure Data Science
Here is link number 1 - Previous text "DJL"
Regarding Tensorflow: As far as I understand, it is accessible through DJL, which has a Clojure wrapper (work in progress): clj-djl. (But I haven't tried it.)
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[D] Java vs Python for Machine learning
To give a contrasting perspective, I think the Java ecosystem is much better suited for many data science tasks, and has a growing and well-maintained set of libraries for general purpose machine learning. I won't list them all, but TF-Java, DJL et al. have implementations of many modern architectures and there are a number of excellent libraries (CoreNLP, Lucene et al.) for working with text.
- Does Java has similar project like this one in C#? (ml, data)
What are some alternatives?
Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
RMS-Runtime-Mobile-Security - Runtime Mobile Security (RMS) 📱🔥 - is a powerful web interface that helps you to manipulate Android and iOS Apps at Runtime
Tribuo - Tribuo - A Java machine learning library
CoreNLP - CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Apache Flink - Apache Flink
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
H2O - Sparkling Water provides H2O functionality inside Spark cluster
OpenCorePkg - OpenCore bootloader
Apache Mahout - Mirror of Apache Mahout
JavaCPP - The missing bridge between Java and native C++