inception | physical memory manipulation and hacking tool exploiting PCI | Hacking library

 by   carmaa Python Version: v0.4.2 License: No License

kandi X-RAY | inception Summary

kandi X-RAY | inception Summary

inception is a Python library typically used in Security, Hacking applications. inception has no vulnerabilities, it has build file available and it has medium support. However inception has 2 bugs. You can download it from GitHub.

Inception is a physical memory manipulation and hacking tool exploiting PCI-based DMA. The tool can attack over FireWire, Thunderbolt, ExpressCard, PC Card and any other PCI/PCIe HW interfaces. Inception aims to provide a relatively quick, stable and easy way of performing intrusive and non-intrusive memory hacks against live computers using DMA.
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            kandi-support Support

              inception has a medium active ecosystem.
              It has 1515 star(s) with 200 fork(s). There are 122 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 23 open issues and 103 have been closed. On average issues are closed in 161 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of inception is v0.4.2

            kandi-Quality Quality

              OutlinedDot
              inception has 2 bugs (2 blocker, 0 critical, 0 major, 0 minor) and 151 code smells.

            kandi-Security Security

              inception has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              inception code analysis shows 0 unresolved vulnerabilities.
              There are 5 security hotspots that need review.

            kandi-License License

              inception does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              inception releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              inception saves you 1441 person hours of effort in developing the same functionality from scratch.
              It has 3219 lines of code, 301 functions and 62 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed inception and discovered the below as its top functions. This is intended to give you an instant insight into inception implemented functionality, and help decide if they suit your requirements.
            • Main entry point for the program
            • Resolve a given vendor name
            • Calculate memory address
            • Print information about the FireWire devices connected to the system
            • Poll the console
            • Close the connection
            • Report a given ua_string
            • Return a list of vulns
            • Return all services
            • Report a report
            • Report a service
            • Login to the device
            • Find the Notes table
            • Unloads IOWireIP
            • Delete note
            • Connect to a database
            • Get a single service
            • Report the credentials to the remote host
            • Create a report
            • Report auth info
            • Get a specific note
            • Reports to a given host
            • Report file contents
            • Delete a service
            Get all kandi verified functions for this library.

            inception Key Features

            No Key Features are available at this moment for inception.

            inception Examples and Code Snippets

            # Ensemble Adversarial Inception ResNet v2-Citation
            Pythondot img1Lines of Code : 35dot img1License : Permissive (Apache-2.0)
            copy iconCopy
            @article{DBLP:journals/corr/abs-1804-00097,
              author    = {Alexey Kurakin and
                           Ian J. Goodfellow and
                           Samy Bengio and
                           Yinpeng Dong and
                           Fangzhou Liao and
                           Ming Liang and
                       
            Adversarial Inception v3-Citation
            Pythondot img2Lines of Code : 35dot img2License : Permissive (Apache-2.0)
            copy iconCopy
            @article{DBLP:journals/corr/abs-1804-00097,
              author    = {Alexey Kurakin and
                           Ian J. Goodfellow and
                           Samy Bengio and
                           Yinpeng Dong and
                           Fangzhou Liao and
                           Ming Liang and
                       
            Adversarial Inception v3-How do I use this model on an image?
            Pythondot img3Lines of Code : 33dot img3License : Permissive (Apache-2.0)
            copy iconCopy
            import timm
            model = timm.create_model('adv_inception_v3', pretrained=True)
            model.eval()
            
            import urllib
            from PIL import Image
            from timm.data import resolve_data_config
            from timm.data.transforms_factory import create_transform
            
            config = resolve_data_co  
            tensorlayer - tutorial imagenet inception V3 distributed
            Pythondot img4Lines of Code : 331dot img4License : Non-SPDX
            copy iconCopy
            #! /usr/bin/python
            # -*- coding: utf-8 -*-
            """Example of training an Inception V3 model with ImageNet.
            
            The parameters are set as in the best results of the paper: https://arxiv.org/abs/1512.00567
            
            The dataset can be downloaded from http://www.image-  
            tensorpack - inception bn
            Pythondot img5Lines of Code : 129dot img5License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            #!/usr/bin/env python
            # File: inception-bn.py
            # Author: Yuxin Wu
            
            import argparse
            import os
            from tensorpack import tfv1 as tf
            
            from tensorpack import *
            from tensorpack.dataflow import dataset
            from tensorpack.tfutils.summary import add_moving_summary
              
            Initialize Inception i3d .
            pythondot img6Lines of Code : 116dot img6License : Permissive (MIT License)
            copy iconCopy
            def __init__(self, num_classes=400, spatial_squeeze=True,
                             final_endpoint='Logits', name='inception_i3d', in_channels=3, dropout_keep_prob=0.5):
                    """Initializes I3D model instance.
                    Args:
                      num_classes: The numbe  

            Community Discussions

            QUESTION

            How to calculate the f1-score?
            Asked 2021-Jun-14 at 07:07

            I have a pyTorch-code to train a model that should be able to detect placeholder-images among product-images. I didn't write the code by myself as I am very unexperienced with CNNs and Machine Learning.

            My boss told me to calculate the f1-score for that model and i found out that the formula for that is ((precision * recall)/(precision + recall)) but I don't know how I get precision and recall. Is someone able to tell me how I can get those two parameters from that following code? (Sorry for the long piece of code, but I didn't really know what is necessary and what isn't)

            ...

            ANSWER

            Answered 2021-Jun-13 at 15:17

            You can use sklearn to calculate f1_score

            Source https://stackoverflow.com/questions/67959327

            QUESTION

            How to find chained sequences of tasks using Pandas?
            Asked 2021-Jun-11 at 15:24

            Let's suppose we have these 3 Dataframes with 'Start' & 'End' Dates of a certain task.

            ...

            ANSWER

            Answered 2021-Jun-11 at 15:24

            The key idea is to use merge_asof. For two task dataframes the following would find for each row in Task1 the row in Task2 where End_1 and Start_2 are closest to each other (but still End_1 <= Start_2):

            Source https://stackoverflow.com/questions/67936492

            QUESTION

            GoogleNet Implantation ValueError: Error when checking model target: the list of Numpy arrays that you are passing to your model is not the size
            Asked 2021-Jun-08 at 08:22

            I am trying to implement GoogleNet inception network to classify images for classification project that I am working on, I used the same code before but with AlexNet network and the training was fine, but once I changed the network to GoogleNet architecture the code kept throwing the following error:

            ...

            ANSWER

            Answered 2021-Jun-08 at 08:22

            GoogleNet is different than Alexnet, in GoogleNet your model has 3 outputs, 1 main and 2 auxiliary outputs connected in intermediate layers during training:

            Source https://stackoverflow.com/questions/67869346

            QUESTION

            Nested colspan in HTML
            Asked 2021-Jun-07 at 13:03

            I'm trying to having a simple table.I am able to do the first callsapn. but second one is not working. table is in the picture below.

            Below is my html code that I tried:

            ...

            ANSWER

            Answered 2021-Jun-02 at 09:15

            QUESTION

            Difference between implementation of network by Sequential() and directly?
            Asked 2021-Jun-05 at 06:19
            model = tf.keras.Sequential()
            model.add(tf.keras.layers.Input(shape=(32, 32, 3)))
            model.add(tf.keras.layers.Dense(10))
            
            ...

            ANSWER

            Answered 2021-Jun-05 at 06:19

            Based on the docs here:

            You have 3 ways to define a model:

            • Sequential: (Your First approach) The Sequential model, which is very straightforward (a simple list of layers), but is limited to single-input, single-output stacks of layers (as the name gives away).

            • Functional API: (Your second approach) The Functional API, which is an easy-to-use, fully-featured API that supports arbitrary model architectures. For most people and most use cases, this is what you should be using.

            • Model subclassing: Where you implement everything from scratch on your own. Use this if you have complex, out-of-the-box research use cases.

            So, because Inception Model has branches, you cannot use Sequential model to implement. You should either use Functional API or create a subclass from model and implement your model from scratch.

            Notice that even Functional API has some limitations. It is only suited to models that are directed acyclic graphs of layers e.g. MobileNet, Inception, etc. (models that have no cycle or loops). For more exotic architectures e.g. dynamic and recursive networks or architectures that may be changed on the fly you have to use Model Subclassing.

            Source https://stackoverflow.com/questions/67841486

            QUESTION

            Check if value is present in JSON array, if not check next array(Swift / SwiftUI)
            Asked 2021-Jun-03 at 18:04

            I have a username and a password, I need to check both of these against the data in the JSON file, if both are correct/exist I return a list that contains the data in "items".

            For example: if I type "user" for the username and "pass" for the password the view should display "Dog, Cat, Mouse, Parrot, Goldfish" in a list.

            The JSON file can be modified if my syntax is incorrect.

            JSON:

            ...

            ANSWER

            Answered 2021-Jun-03 at 17:56

            You can use first(where:) to find an item in your array that matches a given condition (in this case, that the user names match). It returns an optional since there's no guarantee that there will be an item that matches.

            I had to stub out UserModel and UserModelData since you didn't include them, so you'll need to make sure the type names match what you had.

            Source https://stackoverflow.com/questions/67826198

            QUESTION

            Input 0 is incompatible with layer model_1: expected shape=(None, 244, 720, 3), found shape=(None, 720, 3)
            Asked 2021-Jun-02 at 16:50

            I wanted to test my model by uploading an image but I got this error. And I think I got the error somewhere in these lines, I'm just not sure how to fix.

            ...

            ANSWER

            Answered 2021-Jun-02 at 16:50

            This is mostly because you didn't prepare your input (its dimension) for your inception model. Here is one possible solution.

            Model

            Source https://stackoverflow.com/questions/67808557

            QUESTION

            Dart: mapping a list of string into a string
            Asked 2021-May-27 at 20:12

            I dont quite get the execution sequence when we use the map function in dart

            For example code below (this example maybe trival, but I just want to illustrate my question)

            This is trying to converting a list of titles into a string that contain all title

            ...

            ANSWER

            Answered 2021-May-27 at 07:59

            Short answer: first variant

            According to the documentation:

            Iterable map(T Function(String) f)

            Returns a new lazy Iterable with elements that are created by calling f on each element of this Iterable in iteration order.

            This method returns a view of the mapped elements. As long as the returned Iterable is not iterated over, the supplied function f will not be invoked. The transformed elements will not be cached. Iterating multiple times over the returned Iterable will invoke the supplied function f multiple times on the same element.

            Methods on the returned iterable are allowed to omit calling f on any element where the result isn't needed. For example, elementAt may call f only once.

            String join([String separator = ""])

            Converts each element to a String and concatenates the strings.

            Iterates through elements of this iterable, converts each one to a String by calling Object.toString, and then concatenates the strings, with the separator string interleaved between the elements.

            Source https://stackoverflow.com/questions/67717389

            QUESTION

            LPC18S37 pin configuration
            Asked 2021-May-25 at 14:49

            I have LPC18S37(TFBGA100) on a custom board. I need some basic pin configuration help. In order to prevent back and forth between several files, I've extracted a piece of code from pin configurations of a working application (see below).

            LPC18xx.h

            ...

            ANSWER

            Answered 2021-May-25 at 14:49

            Here is my own answer for whom might need the same clarification;

            As my question based on the confusion of the roles of the SCU and GPIO, I placed the definitions with correct figures in order to make a LED ON and OFF including initialization of the pin. Please use the code in my original post above for the device requirements and complete the LED pin part by the code below;

            Source https://stackoverflow.com/questions/67678113

            QUESTION

            NiFi Jolt transform list of string to Map
            Asked 2021-May-21 at 13:39

            I would like to get convert list/array of string to dict/map using Jolt transform. Playground here: https://jolt-demo.appspot.com/#inception

            Input json is:

            ...

            ANSWER

            Answered 2021-May-21 at 13:38

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install inception

            On Debian-based distributions the installation commands can be summarized as (apply sudo as needed if you’re not root):.
            The setup script should be able to install dependencies if you have pip installed.

            Support

            Please see the comments at the top and the [tool home page] [5].
            Find more information at:

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