kandi X-RAY | zmap Summary
kandi X-RAY | zmap Summary
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.
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zmap Key Features
zmap Examples and Code Snippets
Trending Discussions on zmap
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:...
ANSWERAnswered 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
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.
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:...
ANSWERAnswered 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-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:
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:...
ANSWERAnswered 2020-Oct-22 at 23:41
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
jax, it can fuse these operations and do the computation with less overhead.
Unfortunately, numba doesn't support optional arguments to
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:
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