zmap | fast single packet network scanner | TCP library

by zmap C Version: v3.0.0-RC2 License: Apache-2.0

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

kandi X-RAY | zmap Summary

zmap is a C library typically used in Networking, TCP applications. zmap has no vulnerabilities, it has a Permissive License and it has medium support. However zmap has 2 bugs. You can download it from GitHub.

ZMap is a fast single packet network scanner designed for Internet-wide network surveys. On a typical desktop computer with a gigabit Ethernet connection, ZMap is capable scanning the entire public IPv4 address space in under 45 minutes. With a 10gigE connection and [PF_RING] ZMap can scan the IPv4 address space in under 5 minutes. ZMap operates on GNU/Linux, Mac OS, and BSD. ZMap currently has fully implemented probe modules for TCP SYN scans, ICMP, DNS queries, UPnP, BACNET, and can send a large number of [UDP probes] If you are looking to do more involved scans, e.g., banner grab or TLS handshake, take a look at [ZGrab] ZMap’s sister project that performs stateful application-layer handshakes.

Support

Quality

Security

License

Reuse

Support

zmap has a medium active ecosystem.

It has 4790 star(s) with 872 fork(s). There are 239 watchers for this library.

It had no major release in the last 12 months.

There are 7 open issues and 442 have been closed. On average issues are closed in 161 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of zmap is v3.0.0-RC2

Quality

zmap has 2 bugs (0 blocker, 0 critical, 2 major, 0 minor) and 8 code smells.

Security

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

zmap code analysis shows 0 unresolved vulnerabilities.

There are 55 security hotspots that need review.

License

zmap is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

zmap releases are available to install and integrate.

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

It has 477 lines of code, 16 functions and 6 files.

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

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zmap Key Features

No Key Features are available at this moment for zmap.

zmap Examples and Code Snippets

No Code Snippets are available at this moment for zmap.

Community Discussions

Trending Discussions on zmap

How to handle an array of inner subscriptions with rxjs without nested subscriptions

How do I build GDAL with OpenCL against a custom CUDA installation?

Alternative to scipy stats zmap function

QUESTION

How to handle an array of inner subscriptions with rxjs without nested subscriptions

Asked 2021-Oct-06 at 06:03

I have prepared this example on Stackblitz for my question. In this Angular app, I have a NestedSolutionComponent with my current working solution and an AppComponent, where I want to achieve the same result by using proper rxjs operations.

For a real world example which is a bit more complex, I am looking for a solution to map the results of my multiple inner subscription to an array of my outer subscription.

A REST call for a user service provides me this array:

...

ANSWER

Answered 2021-Oct-05 at 13:14

Not sure what you've tried, but this is how I would structure this stream. It's a switchMap (Which could be a mergeMap or concatMap instead, it shouldn't matter in this case), a forkJoin (Not sure why it didn't work for you, but it should from what I've seen), and a map to create the final user with group names.

If you have any questions, I'll be happy to update this answer with some clarifications.

Source https://stackoverflow.com/questions/69449740

QUESTION

How do I build GDAL with OpenCL against a custom CUDA installation?

Asked 2020-Nov-04 at 16:08

I am trying to build GDAL against OpenCL to get GPU accelerated raster operations, depending on Cuda. I managed to get ./configure to complete and start compiling with make. However, when compiling gdalinfo, the compilation fails because it can't find the OpenCL symbols.

I'm pretty sure it is because a -lOpenCL flag is missing somewhere, but (1) I don't know where; and (2) I don't know what to change. So my question is how to correctly configure the build commands to use OpenCL?

The build failure error:

...

ANSWER

Answered 2020-Nov-03 at 20:18

You don't need to modify any GDAL makefiles to use the OpenCL - the GDAL build script is pretty good in finding everything you need for that. The only option for the configure script you need is --with-opencl=yes - this yes is essential. The options --with-opencl-include=ARG and --with-opencl-lib=ARG are useful only when your OpenCL installation is not standard - I didn't use them at all and got everything linked correctly.

The CUDA has its own version of OpenCL headers and the loader library, so you can use them even when there are no standard OpenCL (provided by a Linux software updater, for example - the apt) on your box. In case of the CUDA was installed in some non-standard location (for example - in your home directory) you have to tell the GDAL configure script about that:

Source https://stackoverflow.com/questions/64558912

QUESTION

Alternative to scipy stats zmap function

Asked 2020-Oct-22 at 23:41

Is there any alternative to scipy stats module of the zmap function? I'm currently using it to obtain the zmap scores for two really large arrays and it's taking quite some time.

Are there any libraries or alternatives that could boost its performance? Or even another of obtaining what the zmap function does?

Your ideas and comments would be appreciated!

Here's my minimal reproducible code below:

...

ANSWER

Answered 2020-Oct-22 at 23:41

Fortunately, the zmap code is pretty straightforward. The overhead in numpy, however, will come from the fact that it must instantiate intermediate arrays. If you use a numerical compiler such as that available in numba or jax, it can fuse these operations and do the computation with less overhead.

Unfortunately, numba doesn't support optional arguments to mean and std, so let's take a look at JAX. For reference, here are benchmarks for scipy and for the raw numpy version of the function, computed on a Google Colab CPU runtime:

Source https://stackoverflow.com/questions/64437380

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

Vulnerabilities

No vulnerabilities reported

Install zmap

The latest stable release of ZMap is version 2.1.1 and supports Linux, macOS, and BSD. We recommend installing ZMap from HEAD rather than using a distro package manager. Instructions on building ZMap from source can be found in [INSTALL](INSTALL.md).

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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