C3 | Custom Command and Control | Security Testing library
kandi X-RAY | C3 Summary
kandi X-RAY | C3 Summary
C3 (Custom Command and Control) is a tool that allows Red Teams to rapidly develop and utilise esoteric command and control channels (C2). It's a framework that extends other red team tooling, such as the commercial Cobalt Strike (CS) product via ExternalC2, which is supported at release. It allows the Red Team to concern themselves only with the C2 they want to implement; relying on the robustness of C3 and the CS tooling to take care of the rest. This efficiency and reliability enable Red Teams to operate safely in critical client environments (by assuring a professional level of stability and security); whilst allowing for safe experimentation and rapid deployment of customised Tactics, Techniques and Procedures (TTPs). Thus, empowering Red Teams to emulate and simulate an adaptive real-world attacker.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of C3
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C3 Examples and Code Snippets
Community Discussions
Trending Discussions on C3
QUESTION
I looked for solutions here: Multiply columns in a data frame by a vector and here: What is the right way to multiply data frame by vector?, but it doesn't really work.
What I want to do is a more or less clean tidyverse way where I multiply columns by a vector and then add these as new columns to the existing data frame. Taking teh data example from the first link:
...ANSWER
Answered 2022-Mar-31 at 22:15If it is by row, then one option is c_across
QUESTION
Goal: I have a ball in a triangle. The ball has an initial position and velocity. I'm trying to figure out which side of the triangle the ball will hit.
What I've Tried: I derived a formula that outputs which side the ball will hit, by parametrizing the ball's path and the triangle's sides, and finding the minimum time that satisfies the parametric equations. But when I implement this formula into my program, it produces the wrong results! I've tried many things, to no avail. Any help is greatly appreciated. The MWE is here: CodePen
...ANSWER
Answered 2022-Feb-20 at 08:05I couldn't figure out your math. I think you should try annotating this kind of code with explanatory comments. Often that will help you spot your own mistake:
QUESTION
How to list all the files that were "touched" somewhere between two commits? I am looking for a command similar to git diff COMMIT1..COMMIT2 --name-only
but including the files that were modified and reverted later.
For example, let's say I have a repository with a series of commits (linear history): C0<-C1<-C2<-C3<-C4. The commit C1 introduced a new file F and then the commit C3 removed it from the repository. I am looking for a command that, given C0 and C4, would tell me that somewhere in between there was a file F. Even though there is no such file in C0 and in C4. Therefore git diff
wouldn't mention file F at all.
ANSWER
Answered 2022-Mar-25 at 08:24git diff ref1 ref2
takes into account only given commits, yes, but git log
will find the missing steps and list files for each one, which sort
will aggregate :
QUESTION
Short version: I need is to get a results column r
like this, ideally using dplyr (but happy for base R as well):
ANSWER
Answered 2022-Mar-09 at 22:51Suboptimal:
QUESTION
I have a dataframe like this:
...ANSWER
Answered 2022-Feb-10 at 23:31You can use a named groupby
:
QUESTION
I have df1
:
ANSWER
Answered 2022-Jan-30 at 21:02If the values are "NULL"
, then we can select
the columns of interest, convert to long format with pivot_longer
and filter
out the "NULL"
elements
QUESTION
Given a df
with the following column,
ANSWER
Answered 2022-Jan-06 at 08:16Lets try filter
QUESTION
I think it is very easy and simple question. but it is very difficult for me. please help! I can write R code
...ANSWER
Answered 2022-Jan-06 at 07:52Shortest way out would be to find what of b is not in a and then append it to a.
QUESTION
I am trying to call C functions inside python and discovered the ctypes library (I'm fairly new to both C and python's ctypes), motive (however stupid) is to make python code's speed on par with c++ or close enough on a competitive website. I have written the C code and made a shared library with the following command cc -fPIC -shared -o lib.so test.c
and imported it into python with ctypes using the following code:
ANSWER
Answered 2022-Jan-04 at 05:31from ctypes import *
# int add(int x, int y)
# {
# return (x+y);
# }
code = b'\x55\x48\x89\xe5\x89\x7d\xfc\x89\x75\xf8\x8b\x55\xfc\x8b\x45' \
b'\xf8\x01\xd0\x5d\xc3'
copy = create_string_buffer(code)
address = addressof(copy)
aligned = address & ~0xfff
size = 0x2000
prototype = CFUNCTYPE(c_int, c_int, c_int)
add = prototype(address)
pythonapi.mprotect(c_void_p(aligned), size, 7)
print(add(20, 30))
QUESTION
C1 & C2 are the multi index. I'm hoping to get a result which gives me only values in C1 which have values both lower than 10 and greater than or equal to 10 in C2.
So in the table above C1 - B should go, with the final result should look like this:
C1 C2 C3 C4 A 12 True 89 9 False 77 5 True 23 C 11 True 10 8 False 08 12 False 09I tried df.loc[(df.C2 < 10 ) & (df.C2 >= 10)] but this didn't work.
I also tried:
filter1 = df.index.get_level_values('C2') < 10 filter2 = df.index.get_level_values('C2') >= 10
df.iloc[filter1 & filter2]
Which I saw suggested on another post that also didn't work. Any one know how to solve this? Thanks
...ANSWER
Answered 2021-Dec-14 at 11:55Use GroupBy.transform
with GroupBy.any
for test at least one condition match per groups, so possible last filter by m
DataFrame:
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