EternalBlue | Handy script to automate the attack | Hacking library

by Ch0pin Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | EternalBlue Summary

EternalBlue is a Python library typically used in Security, Hacking applications. EternalBlue has no bugs, it has no vulnerabilities and it has low support. However EternalBlue build file is not available. You can download it from GitHub.

Handy script to automate the attack

Support

Quality

Security

License

Reuse

Support

EternalBlue has a low active ecosystem.

It has 13 star(s) with 2 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

EternalBlue has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of EternalBlue is current.

Quality

EternalBlue has 0 bugs and 0 code smells.

Security

EternalBlue has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

EternalBlue code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

EternalBlue does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

EternalBlue releases are not available. You will need to build from source code and install.

EternalBlue has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

EternalBlue saves you 1059 person hours of effort in developing the same functionality from scratch.

It has 2401 lines of code, 80 functions and 17 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed EternalBlue and discovered the below as its top functions. This is intended to give you an instant insight into EternalBlue implemented functionality, and help decide if they suit your requirements.

Inner function for exploit_pair_pair
Allocates a nonpaged pool
Creates a connection to the SMBFS server
Send a transaction to SMB
Create a new SMB transaction
Put data into TransCmd
Create an SMB packet
Generate a random MID
Sends a race request
Create a Transaction2 packet
Creates a new SMB transaction
Create fea list
Create a fake rsrvnet buffer
Get the DCE RPC
Return a SMBConnection object
Upload a staging SCAN to a target machine
Creates a new NTTransaction packet
Make a race
Write a pipe
Create a TTRANSACT secondary transfer
Recv data from SMB

Get all kandi verified functions for this library.

EternalBlue Key Features

No Key Features are available at this moment for EternalBlue.

EternalBlue Examples and Code Snippets

No Code Snippets are available at this moment for EternalBlue.

Community Discussions

Trending Discussions on EternalBlue

Upload new line JSON to Elasticsearch bulk API

QUESTION

Upload new line JSON to Elasticsearch bulk API

Asked 2020-Apr-16 at 16:42

I'm trying to upload a new line JSON to Elasticsearch using the Bulk API. The bulk JSON I'm uploading looks like this, with each JSON on a new line:

...

ANSWER

Answered 2020-Apr-16 at 11:52

curl -H 'Content-Type: application/x-ndjson' -XPOST 'localhost:9200/index-name/doc-type/_bulk?pretty' --data-binary @my_newline_json.json

Source https://stackoverflow.com/questions/61247966

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

Vulnerabilities

No vulnerabilities reported

Install EternalBlue

You can download it from GitHub.
You can use EternalBlue like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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