legion | Automatic Enumeration Tool based in Open Source tools | Security Testing library
kandi X-RAY | legion Summary
kandi X-RAY | legion Summary
Legion is a tool that uses several well-known opensource tools to automatically, semi-automatically or manually enumerate the most frequent found services running in machines that you could need to pentest. Basically, the goal of Legion is to extract all the information that you can from each opened network service, so you don't have to write and execute the same commands in a terminal every time you find that service. Some actions are repeated by more than one tool, this is done to be sure that all the possible information is correctly extracted.
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Top functions reviewed by kandi - BETA
- Main entry point
- Print the help message
- Start a process
- Start the process
- Kill processes
- Stop all procs
- Get all pids
- Get all messages from queue
- Run scan
- Parse the contents of a cont
- Start warping
- \ x1b [ 1mNAME
- Prints the list of procs to stdout
- Start the hero
- Updates the number of executed actions
- Execute a command
- Print out the output of the workdir
- Quit the process
- Stop running processes
- Stop the general
- Parse command line arguments
legion Key Features
legion Examples and Code Snippets
Community Discussions
Trending Discussions on legion
QUESTION
print(df.sample(50)):
match_datetime country league home_team away_team home_odds draw_odds away_odds run_time home_score away_score
72170 2021-10-17 12:30:00 Ukraine Persha Liga Alliance Uzhhorod 1.22 5.62 9.71 2021-10-17 09:22:20.212731 NaN NaN
100398 2021-11-02 14:35:00 Saudi Arabia Division 1 Al Qadisiya Bisha 1.61 3.61 4.94 2021-11-02 09:13:18.768604 2.0 1.0
33929 2021-09-11 23:00:00 Panama LPF Veraguas Plaza Amador 2.75 2.75 2.71 2021-09-10 23:47:54.682982 1.0 1.0
12328 2021-08-15 15:30:00 Poland Ekstraklasa Slask Wroclaw Leczna 1.74 3.74 4.59 2021-08-14 22:44:26.136608 0.0 0.0
81500 2021-10-24 13:00:00 Italy Serie D - Group A Caronnese Saluzzo 1.69 3.60 4.28 2021-10-23 13:37:16.920175 2.0 2.0
143370 2021-12-05 14:00:00 Poland Division 1 Chrobry Glogow Widzew Lodz 3.36 3.17 2.15 2021-11-30 17:40:24.833519 0.0 0.0
175061 2022-01-08 18:00:00 Spain Primera RFEF - Group 1 R. Union Extremadura UD 1.26 4.40 18.00 2022-01-08 17:00:46.662761 0.0 1.0
21293 2021-08-29 16:00:00 Italy Serie B Cittadella Crotone 2.32 3.11 3.31 2021-08-26 18:04:46.221393 4.0 2.0
97427 2021-11-01 17:00:00 Israel Leumit League M. Nazareth Beitar Tel Aviv 1.92 3.26 3.75 2021-10-30 09:40:08.966330 4.0 2.0
177665 2022-01-13 12:30:00 Egypt Division 2 - Group C Said El Mahalla Al Magd 4.12 3.08 1.94 2022-01-12 17:53:33.570126 0.0 0.0
69451 2021-10-17 05:00:00 South Korea K League 1 Gangwon Gwangju FC 2.06 3.38 3.65 2021-10-15 09:55:54.578112 NaN NaN
4742 2021-08-10 20:30:00 Peru Liga 2 Deportivo Coopsol Grau 3.14 3.49 2.06 2021-08-10 18:14:01.996860 0.0 2.0
22266 2021-08-29 13:00:00 France Ligue 1 Angers Rennes 2.93 3.27 2.56 2021-08-27 12:26:34.904374 2.0 0.0
46412 2021-09-26 04:00:00 Japan J2 League Okayama Blaublitz 2.24 2.90 3.63 2021-09-23 09:08:26.979783 1.0 1.0
133207 2021-11-27 21:15:00 Bolivia Division Profesional Palmaflor Blooming 1.51 4.05 5.10 2021-11-25 18:22:28.275844 3.0 0.0
140825 2021-11-28 11:00:00 Spain Tercera RFEF - Group 6 Valencia B Torrellano 1.58 3.56 5.26 2021-11-28 19:54:40.066637 2.0 0.0
226985 2022-03-04 00:30:00 Argentina Copa de la Liga Profesional Central Cordoba Rosario Central 2.36 3.26 2.86 2022-03-02 17:23:10.014424 0.0 1.0
137226 2021-11-28 12:45:00 Greece Super League 2 Apollon Pontou PAOK B 3.37 3.25 2.01 2021-11-27 15:13:05.937815 0.0 3.0
182756 2022-01-22 10:30:00 Turkey 1. Lig Umraniyespor Menemenspor 1.40 4.39 7.07 2022-01-19 17:25:27.128331 2.0 1.0
89895 2021-10-28 16:45:00 Netherlands KNVB Beker Ajax Cambuur 9.10 5.55 1.26 2021-10-27 07:46:56.253996 0.0 5.0
227595 2022-03-06 17:00:00 Israel Ligat ha'Al Ashdod Maccabi Petah Tikva 2.30 3.21 3.05 2022-03-02 17:23:10.014424 NaN NaN
57568 2021-10-02 13:00:00 Estonia Meistriliiga Kalju Legion 1.58 4.10 4.84 2021-10-02 10:55:35.287359 2.0 2.0
227035 2022-03-04 19:00:00 Denmark Superliga FC Copenhagen Randers FC 1.70 3.84 5.06 2022-03-02 17:23:10.014424 NaN NaN
108668 2021-11-07 13:30:00 Germany Oberliga Mittelrhein Duren Freialdenhoven 1.35 5.20 6.35 2021-11-06 17:37:37.629603 2.0 0.0
86270 2021-10-25 18:00:00 Belgium Pro League U21 Lommel SK U21 Lierse K. U21 3.23 3.84 1.92 2021-10-26 01:22:31.111441 0.0 0.0
89437 2021-11-01 02:10:00 Colombia Primera A America De Cali Petrolera 1.86 2.92 4.60 2021-10-27 07:41:24.427246 NaN NaN
13986 2021-08-21 13:00:00 France Ligue 2 Dijon Toulouse 3.92 3.51 1.94 2021-08-16 13:22:02.749887 2.0 4.0
105179 2021-11-06 15:00:00 England NPL Premier Division Atherton South Shields 3.90 3.42 1.82 2021-11-05 10:01:28.567328 1.0 1.0
142821 2021-12-01 12:30:00 Bulgaria Vtora liga Marek Septemvri Simitli 1.79 3.38 4.35 2021-11-30 17:40:24.833519 2.0 2.0
45866 2021-09-24 00:30:00 Venezuela Primera Division Dep. Tachira Portuguesa 1.96 3.60 3.22 2021-09-23 09:08:26.979783 4.0 1.0
76100 2021-10-22 16:30:00 Denmark 1st Division Hvidovre IF Koge 1.91 3.56 3.81 2021-10-21 08:43:12.445245 NaN NaN
115896 2021-11-14 16:00:00 Spain Tercera RFEF - Group 6 Olimpic Xativa Torrellano 2.78 2.89 2.39 2021-11-13 12:21:45.955738 1.0 0.0
156159 2021-12-12 16:00:00 Spain Segunda RFEF - Group 1 Marino de Luanco Coruxo FC 2.19 3.27 3.07 2021-12-10 09:26:45.001977 0.0 0.0
18240 2021-08-21 12:00:00 Germany Regionalliga West Rodinghausen Fortuna Koln 3.25 3.60 2.00 2021-08-21 03:30:43.193978 NaN NaN
184913 2022-01-22 10:00:00 World Club Friendly Zilina B Trinec 3.56 4.14 1.78 2022-01-22 16:44:32.650325 0.0 3.0
16782 2021-08-22 23:05:00 Colombia Primera A Petrolera Dep. Cali 3.01 3.00 2.44 2021-08-19 18:24:24.966505 2.0 3.0
63847 2021-10-10 09:30:00 Spain Tercera RFEF - Group 7 Carabanchel RSD Alcala 4.39 3.42 1.75 2021-10-09 12:03:50.720013 NaN NaN
7254 2021-08-12 16:45:00 Europe Europa Conference League Hammarby Cukaricki 1.72 3.87 4.13 2021-08-11 23:48:31.958394 NaN NaN
82727 2021-10-24 14:00:00 Lithuania I Lyga Zalgiris 2 Neptunas 1.76 3.78 3.35 2021-10-24 12:02:06.306279 1.0 3.0
43074 2021-09-22 18:00:00 Ukraine Super Cup Shakhtar Donetsk Dyn. Kyiv 2.57 3.49 2.59 2021-09-19 09:39:56.624504 NaN NaN
65187 2021-10-11 18:45:00 World World Cup Norway Montenegro 1.56 4.17 6.28 2021-10-11 10:56:09.973470 NaN NaN
120993 2021-11-18 00:00:00 USA NISA Maryland Bobcats California Utd. 2.76 3.23 2.39 2021-11-17 20:36:26.562731 1.0 1.0
201469 2022-02-12 15:00:00 England League One AFC Wimbledon Sunderland 3.30 3.48 2.17 2022-02-10 17:47:36.501159 1.0 1.0
142180 2021-12-01 19:45:00 Scotland Premiership St. Mirren Ross County 2.06 3.25 3.85 2021-11-29 18:28:22.249662 0.0 0.0
4681 2021-08-10 18:30:00 Europe Champions League Young Boys CFR Cluj 1.48 4.29 6.92 2021-08-10 18:14:01.996860 3.0 1.0
67321 2021-10-17 13:00:00 Spain LaLiga Rayo Vallecano Elche 1.78 3.64 4.99 2021-10-13 11:22:34.979378 NaN NaN
27499 2021-09-04 14:00:00 Iceland Inkasso-deildin Kordrengir Fjolnir 2.18 3.66 2.82 2021-09-02 23:28:49.414126 1.0 4.0
48962 2021-09-25 21:00:00 Mexico Liga Premier Serie B Uruapan Lobos Huerta 1.83 3.69 3.70 2021-09-25 13:02:58.238466 NaN NaN
65636 2021-10-16 17:00:00 Switzerland Super League Young Boys Luzern 1.26 6.04 9.43 2021-10-11 10:56:09.973470 NaN NaN
17333 2021-08-21 14:00:00 Finland Kakkonen Group A Atlantis Kiffen 1.57 4.29 4.42 2021-08-20 12:41:03.159846 1.0 1.0
ANSWER
Answered 2022-Mar-05 at 01:38If I understand correctly, you would like to filter the dataframe to retain, for each run_time, the last two rows (or up to two rows) by match_datetime.
Simplified answer
This can be done relatively easily without any join, using GroupBy.tail(). (Note, my original answer was using GroupBy.rank(), but this is simpler, although slower):
QUESTION
I am trying to make a simple food delivery system by using data structures. I hold the Neighborhood names in an ArrayList and I hold the Delivery Count, Food Name and it's count in GenericList. I drew the schematic and attached the photo.
I coded the program which prints the "Hood Name and it's delivery count" my code and my outputs are here:
...ANSWER
Answered 2021-Dec-30 at 01:57I would use Lists of objects to define your data structure. And then LINQ to query, manipulate, etc. I think it will be more flexible and give you closer to what you want. Something like this:
QUESTION
It works on my old navbar (but it's boostrap 3 and this project is on 5). The text overflows my navbar and causes the text/website to get extra space then what it's supposed to be showing. I need a genius to resolve this for me as i have been stumped on this for a long time.
Issue (images) https://gyazo.com/c212a931d6770b77998cb3fea3ae87d1 i'm highlighting it as the text can't be seen due to white backround.
Trying to get working (old navbar) https://gyazo.com/66c482022e325cd9bd335ff666377474
Here is a JSfiddle to give an example plus the code i'm using. https://jsfiddle.net/yf90uxhc/2/
code:
...ANSWER
Answered 2021-Dec-19 at 07:25You're looking to enable flexbox wrapping on the menu
- .
Change
QUESTION
Roman history fan here, so I have a dataframe with the name of two legions (fifth and tirteenth), their casualties (numerical value), and the morale of the troops (high, medium, low).
I want to know (boxplot) the relationship between morale (x axis) and casualties (y axis), and also subset by legion.
Please notice that this is a toy example. In the real data (no romans) we have several variables for each of the axis, so we ask the user to load the data, and then select which variables he wants to use for each axis.
Here you have a RepEx:
...ANSWER
Answered 2021-Dec-10 at 09:53You correctly pinned down which part of the code was causing issues. What happens is that first you render the input$selected_factors by selecting an input$factor. The legion that you have selected in this input is now in memory (meaning not NULL) for the first time. Next you change the input$factor to "Not Selected" which hides the input$selected_factors UI, however it doesn't erase it's memory. Even if your UI is hidden your input$selected_factors will remain "fifth" which triggers your if condition. However data_input()[["Not Selected"]] will return an empty table.
My recommendation would be to change the if condition like so:
QUESTION
In one of my projects I'm using git submodules to download the SDL2 Library and compile it. This is giving me a strange error so I tried to compile SDL2 Standalone and I got the same error.
I'm on a 13" MacBook Pro Big Sur
Steps to reproduce:
...ANSWER
Answered 2021-Dec-09 at 10:48The only difference between the successfully compiled project and the project that failed to compile is the MacOS SDK version. The one that failed to compile used MacOS SDK 12 while the successful one used MacOS 11.3. Until this is fixed a temporary solution is to downgrade your MacOS SDK to 11.3.
QUESTION
Roman history fan here, so I have a dataframe with the name of two legions (fifth and tirteenth), their casualties (numerical value), and the moral of the troops (high, medium, low).
I want to know (boxplot) the relationship between moral (x axis) and casualties (y axis), and also subset by legion:
...ANSWER
Answered 2021-Nov-29 at 21:24Perhaps you are looking for this
QUESTION
data "aws_availability_zones" "available" {
state = "available"
}
resource "aws_subnet" "subnet" {
count = length(data.aws.availability_zones.available.names)
# ...
}
ANSWER
Answered 2021-Oct-05 at 10:06If you want to use only the first two AZs, then you can do:
QUESTION
I'm trying to filter laptop entries only from a list (productUrl.txt) and save it in a seperate text file (laptop.txt)
My code:
...ANSWER
Answered 2021-Sep-15 at 17:55Here is how I may change your code. You can focus on the if inside for
QUESTION
whenever I try to add text in footer it already gets positioned in center. I don't know how to fix coz I can't find where is the error. Can anyone help me fix this and also whenever I try to add bootstrap link to my header it affects my drop down css also. also Im using notepad++ for website html code
...ANSWER
Answered 2021-Aug-18 at 17:21There are too many problems with your markup. First thing is stop using center tag, that is outdated now, Use css instead to center the elements.
Your footer is wrapped inside the center tag ( very hard to find but if you see it with the chrome developer tool, you will find that ).
Try to learn modern Html5 and css3 syntax. Happy learning.
QUESTION
I have two CSVs. CSV1 consists of 3 columns: Name, Username, MainGroup; CSV2 consist of 4 columns: Name, Username, Department, Division. Both CSVs sort by Name column.
I need to compare data from these two CVS, specifically Department and Division from CVS2 with MainGroup from CSV1. And then export result into a CVS-file, what will contain Name, Username, MatchedGroup. So in 3rd column of result CVS I would like to keep the result of comparing of Department and Division with column MainGroup. I.e. if a value from Department or Division columns from CVS2 matches with a value from MainGroup column from CSV1, then keep in result the matched value.
Yup, I can use Compare-Object cmdlet, but it is hard to imagine loop that I need to compare values and get a result. Moreover, MainGroup column could has a few values divided by comma, so that is why I have to compare columns and keep the one that will match or keep in result original value from MainGroup column if Department and Division will be empty.
Example of CSV1:
Name UserName MainGroup Dave Davidson Dave.D NCR Hugo Lotson Hugo.L Legion Umi Ugo Umi CBA Rendal Echo Rendal.E NCR,CBAExample of CVS2:
Name UserName Department Division Dave Davidson Dave.D NCR Hugo Lotson Hugo.L Legion NCR Umi Ugo Umi Rendal Echo Rendal.E Legion ...ANSWER
Answered 2021-Aug-10 at 15:40There's undoubtedly a much cleaner, nicer way of doing this with less code - however I usually find it easier to create a class to populate the results of CSV comparisons, as you get some easier output for a CSV this way.
This could be simplified, but hopefully this will help explain the loop/flow a bit. Copy this into a file (e.g; Comapre-Csv.ps1), then run it like so;
.\Compare-Csv.ps1 -SourceCsv .\csv_1.csv -ComparisonCsv .\csv_2.csv -ExportPath .\result.csv
Script:
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