DDos-Attack | DDos-Attack Is A Python script online Attack | Hacking library

by Ha3MrX Python Version: Current License: No License

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | DDos-Attack Summary

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

DDos-Attack Is A Python script online Attack

Support

Quality

Security

License

Reuse

Support

DDos-Attack has a medium active ecosystem.

It has 1229 star(s) with 903 fork(s). There are 83 watchers for this library.

It had no major release in the last 6 months.

There are 62 open issues and 12 have been closed. On average issues are closed in 71 days. There are 20 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of DDos-Attack is current.

Quality

DDos-Attack has 0 bugs and 0 code smells.

Security

DDos-Attack has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

DDos-Attack code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DDos-Attack 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

DDos-Attack releases are not available. You will need to build from source code and install.

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

DDos-Attack saves you 15 person hours of effort in developing the same functionality from scratch.

It has 44 lines of code, 0 functions and 1 files.

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

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DDos-Attack Key Features

No Key Features are available at this moment for DDos-Attack.

DDos-Attack Examples and Code Snippets

NET HEALER,Screenshot during an attack,GET /healer/v1/ddos/reports

Ruby

Lines of Code : 45

License : No License

Copy

{
    "reports": {
        "200.200.200.10": {
            "fqdn": "nethealer.hostingxpto.com",
            "attack_type": "udp_flood",
            "alerts": 2,
            "protocol": [
                "udp"
            ],
            "incoming": {

anti-ddos-lite,How to use

PHP

Lines of Code : 9

License : No License

Copy

Bomb-Botnet,Screenshot

Python

Lines of Code : 8

License : No License

Copy

apt-get update 
apt-get upgrade
apt-get install python2
apt-get install git
git clone https://github.com/nishinosukasa/Bomb-Botnet
cd Bomb-Botnet
python2 Bomb-Botnet.py

Community Discussions

Trending Discussions on DDos-Attack

Protect an unauthenticated Cloud Run endpoint

QUESTION

Protect an unauthenticated Cloud Run endpoint

Asked 2019-May-13 at 06:00

when I make an unauthenticated (public) Cloud Run endpoint to host an API, what are my options to protect this endpoint from malicious users making billions of HTTP requests?

For $10 you can launch a Layer 7 HTTP flood attack that can send 250k requests per second. Let's assume your Cloud Run endpoints scale up and all requests are handled. For invocations alone, you will pay $360,-/hour (at $0.40 per million requests).

Note that there is a concurrency limit and a max instance limit that you might hit if the attack is not distributed over multiple Cloud Run endpoints. What other controls do I have?

As I understand, the usual defenses with Cloud Armor and Cloud CDN are bound to the Global Load Balancer, which is unavailable for Cloud Run, but is available for Cloud Run on GKE.

...

ANSWER

Answered 2019-May-13 at 06:00

For unauthenticated invocations to a Cloud Run service with an IAM Cloud Run Invoker role set to the allUsers member type, I would expect the answer to be the same as those provided here - https://stackoverflow.com/a/49953862/7911479

specifically:

Cloud Functions sits behind the Google Front End which mitigates and absorbs many Layer 4 and below attacks, such as SYN floods, IP fragment floods, port exhaustion, etc.

It would certainly be great to get a clear Y/N answer on Cloud Armor support.

[Edit]: I have been thinking on this quite a lot and have come to the following conclusion:

if you expect you are likely to become a victim of an attack of this type then I would monitor your regular load/peak and set your account's ability to scale just above that load. Monitoring will allow you to increase this as your regular traffic grows over time. It appears to be the only good way. Yes, your service will be down once you reach your account limits, but that seems preferable in the scenario where you are the target.

An idea which I am yet to try is a protected route with Firebase Authentication and anonymous authentication.

Source https://stackoverflow.com/questions/55716767

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

Vulnerabilities

No vulnerabilities reported

Install DDos-Attack

You can download it from GitHub.
You can use DDos-Attack 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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