CloudCopy | tool implements a cloud version

by Static-Flow Python Version: Current License: No License

X-Ray Key Features Code Snippets(2)Community Discussions Vulnerabilities Install Support

kandi X-RAY | CloudCopy Summary

CloudCopy is a Python library. CloudCopy has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

This tool implements a cloud version of the Shadow Copy attack against domain controllers running in AWS. Any AWS user possessing the EC2:CreateSnapshot permission can steal the hashes of all domain users by creating a snapshot of the Domain Controller mounting it to an instance they control and exporting the NTDS.dit and SYSTEM registry hive file for use with Impacket's secretsdump project.

Support

Quality

Security

License

Reuse

Support

CloudCopy has a low active ecosystem.

It has 68 star(s) with 11 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 51 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CloudCopy is current.

Quality

CloudCopy has 0 bugs and 0 code smells.

Security

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

CloudCopy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

CloudCopy 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

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

Build file is available. You can build the component from source.

CloudCopy saves you 520 person hours of effort in developing the same functionality from scratch.

It has 1219 lines of code, 75 functions and 5 files.

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

Top functions reviewed by kandi - BETA

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

Clone a new instance
Clears out the cloud copy
Create an EC2 instance
Create boto3 client
Tries to steal DCHASH files
Connect to instance
Autocomplete set options
Autocomplete profiles
Try to steal dchash files
Connect to an instance
steal shadow passwd
Sets the shadow passwd
Create snapshot
\ x1b [ 1mNAME \ x1b [ 0m secPrincipalCloudCopy
Manage manual cloud copy
Profile_cloud copy command
Do cleanup

Get all kandi verified functions for this library.

CloudCopy Key Features

No Key Features are available at this moment for CloudCopy.

CloudCopy Examples and Code Snippets

Aggregate the given global tts summary .

python

Lines of Code : 44

License : Non-SPDX (Apache License 2.0)

Copy

def aggregate_global_cache(self, global_tt_summary_cache):
    """Merges the given caches on tpu.

    Args:
      global_tt_summary_cache: The global tensor tracer summary cache tensor
        with shape (num_cores, num_traced_tensors, num_traced_si

Renders a TTS query to a string

java

Lines of Code : 12

License : Permissive (MIT License)

Copy

@Override
	public String render(Type type, List args, SessionFactoryImplementor factory) throws QueryException {

		if (args == null || args.size() != 3) {
			throw new IllegalArgumentException("The function must be passed 2 arguments");
		}

		Strin

Community Discussions

No Community Discussions are available at this moment for CloudCopy.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install CloudCopy

You can download it from GitHub.
You can use CloudCopy 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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