frida工具的缝合怪

Overview

fridaUiTools

fridaUiTools是一个界面化整理脚本的工具。新人的练手作品。参考项目ZenTracer,觉得既然可以界面化,那么应该可以把功能做的更加完善一些。跨平台支持:win、mac、linux

功能缝合怪。把一些常用的frida的hook脚本简单统一输出方式后,整合进来。并且将自己觉得常用的功能做成界面调用的。还想动态获取一些信息默认的直接展示。后续会根据自己实战的经验。不断完善这个工具。

Hook脚本如下(附加进程前使用)

  • 整合r0capture
  • 整合jnitrace
  • java层的加解密相关自吐
  • ssl pining(整合DroidSSLUnpinning)
  • 模糊匹配函数进行批量hook(整合ZenTracer)
  • native的sub函数批量hook(参数统一方式打印。所以输出只能做参考)
  • stalker的trace(整合sktrace)
  • 整合frida_hook_libart
  • 脱壳相关(整合frida_dump、FRIDA-DEXDump、fart)
  • 自定义脚本添加
  • patch汇编代码

调用功能如下(附加进程后使用)

  • fart主动调用
  • DUMPDex主动调用
  • dump打印指定地址
  • dump指定模块
  • wallBreak整合

应用信息

附加成功时将一些信息带出来给界面展示。目前仅将module列表和class列表展示出来。可以查询函数以及符号

日志说明

1、操作日志

是对软件操作的所有输出日志。

2、输出日志

所有js返回的日志都在输出日志。并且保存在logs目录中

3、当前hook列表

当前勾选的hook脚本列表展示。可以保存,方便以后直接加载使用。

应用部分界面

image-20210710125622863

image-20210710130420705

image-20210710130555333

image-20210710130631452

image-20210710130712969

image-20210710130905757

使用说明

软件里面有很多地方用到了缓存数据。缓存数据是附加一次进程后,保存下来的module和class列表。这样方便智能的检索。所以一般第一次使用的时候,先附加一次目标进程,就有缓存数据可以使用了。

fart如果第一次使用,需要在上传与下载菜单栏中点击上传fart的so。

软件目前应该还存在很多瑕疵和bug。我会在实用中慢慢修补。

新增功能

frida-server14.2的自动上传到手机

frida-server的启动

自定义脚本功能

fart的dump结果下载

增加patch功能

应用信息显示(adb shell dumpsys取出来的数据)

hookEvent(app的所有控件的点击事件hook)

cmd切换(有些设备是需要adb shell su 0来使用su权限的,有些是adb shell su -c。这里为了通用,可以自己切换)

感谢

Comments
  • x86用的哪个模拟器?

    x86用的哪个模拟器?

    fridaUiTools_for_window1.0.6版本frida选择的14.2.18,试了“雷电3x/4x-32位”,“逍遥5.1/7.1-32位”,上传frida-server均已失败告终,手动上传并启动,只能获取应用信息,其他功能都无法正常使用。 作者大大测试的是哪款模拟器,系统位数,frida版本等信息,请告知。

    opened by taotaoli123 3
  • ubantu 20.04折腾了一天都没运行起来

    ubantu 20.04折腾了一天都没运行起来

    源码报错如下 ➜ fridaUiTools-1.0.3 ./kmainForm.py File "./kmainForm.py", line 339 res = self.spawnAttachForm.exec() ^ SyntaxError: invalid syntax

    打包的 yangmoling-pc% ./fridaUiTools Traceback (most recent call last): File "PyInstaller/loader/pyimod04_ctypes.py", line 53, in init File "ctypes/init.py", line 373, in init OSError: libcapstone.so: cannot open shared object file: No such file or directory

    The above exception was the direct cause of the following exception:

    Traceback (most recent call last): File "kmainForm.py", line 20, in File "", line 991, in _find_and_load File "", line 975, in _find_and_load_unlocked File "", line 671, in _load_unlocked File "PyInstaller/loader/pyimod03_importers.py", line 476, in exec_module File "forms/Patch.py", line 6, in File "", line 991, in _find_and_load File "", line 975, in _find_and_load_unlocked File "", line 671, in _load_unlocked File "PyInstaller/loader/pyimod03_importers.py", line 476, in exec_module File "utils/AsmUtil.py", line 1, in File "", line 991, in _find_and_load File "", line 975, in _find_and_load_unlocked File "", line 671, in _load_unlocked File "PyInstaller/loader/pyimod03_importers.py", line 476, in exec_module File "capstone/init.py", line 312, in File "capstone/init.py", line 285, in _load_lib File "ctypes/init.py", line 451, in LoadLibrary File "PyInstaller/loader/pyimod04_ctypes.py", line 55, in init pyimod04_ctypes.PyInstallerImportError: Failed to load dynlib/dll 'libcapstone.so'. Most likely this dynlib/dll was not found when the application was frozen. [2061672] Failed to execute script 'kmainForm' due to unhandled exception!

    opened by yangmoling 3
  • 关于端口转发的问题

    关于端口转发的问题

    用wifi连接,启动frida命令中并没有体现出来 (没有替换转发端口27042) adb shell su 0 /data/local/tmp/frida-server-16.0.2-android-arm64 -l 192.168.0.102:6666 adb forward tcp:27042 tcp:27042 adb forward tcp:27043 tcp:27043

    这里的两个端口不应该对应么 希望大佬有时间回答一下。

    opened by Rungjen 2
  • mac下无法使用

    mac下无法使用

    Last login: Wed Dec 14 16:23:59 on ttys002 /Users/mac/Downloads/fridaUiTools_for_mac/kmainForm_14 ; exit; macdeiMac-4:~ mac$ /Users/mac/Downloads/fridaUiTools_for_mac/kmainForm_14 ; exit; Traceback (most recent call last): File "kmainForm.py", line 22, in File "PyInstaller/loader/pyimod02_importers.py", line 493, in exec_module File "forms/Patch.py", line 6, in File "PyInstaller/loader/pyimod02_importers.py", line 493, in exec_module File "utils/AsmUtil.py", line 1, in File "PyInstaller/loader/pyimod02_importers.py", line 493, in exec_module File "capstone/init.py", line 315, in ImportError: ERROR: fail to load the dynamic library. [2538] Failed to execute script 'kmainForm' due to unhandled exception: ERROR: fail to load the dynamic library. [2538] Traceback: Traceback (most recent call last): File "kmainForm.py", line 22, in File "PyInstaller/loader/pyimod02_importers.py", line 493, in exec_module File "forms/Patch.py", line 6, in File "PyInstaller/loader/pyimod02_importers.py", line 493, in exec_module File "utils/AsmUtil.py", line 1, in File "PyInstaller/loader/pyimod02_importers.py", line 493, in exec_module File "capstone/init.py", line 315, in ImportError: ERROR: fail to load the dynamic library.

    logout Saving session... ...copying shared history... ...saving history...truncating history files... ...completed.

    [进程已完成]

    opened by wulliwui 1
  • frida_dexdump

    frida_dexdump

    android10 pip 安装使用报 Set read permission for memory range: 0x7041abff-0x704211e000错误 用 ui 使用报Error: access violation accessing 0x32c00000错误 考虑到应该是访问内存的问题 大佬知道该怎么解决么?

    opened by Rungjen 1
  • 自定义脚本

    自定义脚本

    自定义脚本那里,我用下面代码在原来的frida能用,但在window你这工具没信息显示? Java.perform(function() { var targetClass='com.shandui.common.utils.MD5Util'; var methodName='getMD5'; var gclass = Java.use(targetClass); gclass[methodName].overload('java.lang.String').implementation = function(arg0) { console.log('\nGDA[Hook getMD5(java.lang.String)]'+'\n\targ0 = '+arg0); var i=thismethodName; console.log('\treturn '+i); return i; } })

    日志以下,没显示 2022-12-07 09:44:59 default.js init hook success 2022-12-07 09:45:00 加载appinfo 2022-12-07 09:49:23 default.js init hook success 2022-12-07 09:49:23 加载appinfo

    opened by book9602 2
Releases(v1.0.11)
Owner
diveking
diveking
Automated Attendance Project Using Face Recognition

dependencies for project: cmake 3.22.1 dlib 19.22.1 face-recognition 1.3.0 openc

Rohail Taha 1 Jan 09, 2022
Asymmetric Bilateral Motion Estimation for Video Frame Interpolation, ICCV2021

ABME (ICCV2021) Junheum Park, Chul Lee, and Chang-Su Kim Official PyTorch Code for "Asymmetric Bilateral Motion Estimation for Video Frame Interpolati

Junheum Park 86 Dec 28, 2022
Official MegEngine implementation of CREStereo(CVPR 2022 Oral).

[CVPR 2022] Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation This repository contains MegEngine implementation of ou

MEGVII Research 309 Dec 30, 2022
Udacity's CS101: Intro to Computer Science - Building a Search Engine

Udacity's CS101: Intro to Computer Science - Building a Search Engine All soluti

Phillip 0 Feb 26, 2022
The end-to-end platform for building voice products at scale

Picovoice Made in Vancouver, Canada by Picovoice Picovoice is the end-to-end platform for building voice products on your terms. Unlike Alexa and Goog

Picovoice 318 Jan 07, 2023
CaFM-pytorch ICCV ACCEPT Introduction of dataset VSD4K

CaFM-pytorch ICCV ACCEPT Introduction of dataset VSD4K Our dataset VSD4K includes 6 popular categories: game, sport, dance, vlog, interview and city.

96 Jul 05, 2022
Hypernetwork-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels

Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels The implementation of Hypernet-Ensemble Le

Sungmin Hong 6 Jul 18, 2022
A torch implementation of "Pixel-Level Domain Transfer"

Pixel Level Domain Transfer A torch implementation of "Pixel-Level Domain Transfer". based on dcgan.torch. Dataset The dataset used is "LookBook", fro

Fei Xia 260 Sep 02, 2022
Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution

FAU Implementation of the paper: Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution. Yingruo

Evelyn 78 Nov 29, 2022
KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control

KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Ka

Tomas Jakab 87 Nov 30, 2022
Install alphafold on the local machine, get out of docker.

AlphaFold This package provides an implementation of the inference pipeline of AlphaFold v2.0. This is a completely new model that was entered in CASP

Kui Xu 73 Dec 13, 2022
Posterior predictive distributions quantify uncertainties ignored by point estimates.

Posterior predictive distributions quantify uncertainties ignored by point estimates.

DeepMind 177 Dec 06, 2022
Source code for the paper "PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction" in ACL2021

PLOME:Pre-training with Misspelled Knowledge for Chinese Spelling Correction (ACL2021) This repository provides the code and data of the work in ACL20

197 Nov 26, 2022
Per-Pixel Classification is Not All You Need for Semantic Segmentation

MaskFormer: Per-Pixel Classification is Not All You Need for Semantic Segmentation Bowen Cheng, Alexander G. Schwing, Alexander Kirillov [arXiv] [Proj

Facebook Research 1k Jan 08, 2023
Object-aware Contrastive Learning for Debiased Scene Representation

Object-aware Contrastive Learning Official PyTorch implementation of "Object-aware Contrastive Learning for Debiased Scene Representation" by Sangwoo

43 Dec 14, 2022
Maximum Spatial Perturbation for Image-to-Image Translation (Official Implementation)

MSPC for I2I This repository is by Yanwu Xu and contains the PyTorch source code to reproduce the experiments in our CVPR2022 paper Maximum Spatial Pe

51 Dec 14, 2022
Pytorch implementation of BRECQ, ICLR 2021

BRECQ Pytorch implementation of BRECQ, ICLR 2021 @inproceedings{ li&gong2021brecq, title={BRECQ: Pushing the Limit of Post-Training Quantization by Bl

Yuhang Li 148 Dec 28, 2022
[ICCV 2021] Official PyTorch implementation for Deep Relational Metric Learning.

Ranking Models in Unlabeled New Environments Prerequisites This code uses the following libraries Python 3.7 NumPy PyTorch 1.7.0 + torchivision 0.8.1

Borui Zhang 39 Dec 10, 2022
Official pytorch implementation of "DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion"

DSPoint Official implementation of "DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion". Paper link: https://arxiv.org/abs/2111.10

Ziyao Zeng 14 Feb 26, 2022
Immortal tracker

Immortal_tracker Prerequisite Our code is tested for Python 3.6. To install required liabraries: pip install -r requirements.txt Waymo Open Dataset P

74 Dec 03, 2022