Farmer | collecting NetNTLM hashes in a Windows domain
kandi X-RAY | Farmer Summary
kandi X-RAY | Farmer Summary
Farmer is a project for collecting NetNTLM hashes in a Windows domain. Farmer achieves this by creating a local WebDAV server that causes the WebDAV Mini Redirector to authenticate from any connecting clients. In order for Farmer to be successful, the clients MUST be able to connect to the local WebDAV server. Possible things that could prohibit this include network segmentation and/or the Windows firewall. Be sure to check these out first (hint Seatbelt WindowsFirewall).
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Farmer
Farmer Key Features
Farmer Examples and Code Snippets
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Trending Discussions on Farmer
QUESTION
I want to keep track a vote on each time it's submitted. All corresponding data in the submittedVoteId is what I want to use to count the vote for the aspirants
Here are the data I got when voters submitted their votes
...ANSWER
Answered 2021-Jun-13 at 17:16Reduce your votes array into an object of submitted vote id key-value pairs where the value is an object of the vote id and vote counts.
QUESTION
ANSWER
Answered 2021-Jun-02 at 09:15QUESTION
I'm having difficulty converting this SQL query to Laravel Query Builder.I tried for hours but couldn't get my head around this.I tried online tools for converting SQL to Query builder but didn't work.
Here is my code:
...ANSWER
Answered 2021-Jun-01 at 10:22DB::table('adopting_technologies')
->select('adopting_technologies.technology_id', 'technologies.name_en')
->selectRaw("
COUNT(cig_members.id) AS CigTotal,
COUNT(CASE WHEN cig_members.is_ethnic = 1 THEN 1 ELSE NULL END) AS CigTotalEthnic,
COUNT(CASE WHEN cig_members.gender = 'female' THEN 1 ELSE NULL END) AS CigTotalFemale,
COUNT(CASE WHEN cig_members.gender = 'female' AND cig_members.is_ethnic = 1 THEN 1 ELSE NULL END) AS CigTotalEthnicFemale,
COUNT(farmers.id) AS NonCigTotal,
COUNT(CASE WHEN farmers.is_ethnic = 1 THEN 1 ELSE NULL END) AS NonCigtoTalEthnic,
COUNT(CASE WHEN farmers.gender = 'female' THEN 1 ELSE NULL END) AS NonCigTotalFemale,
COUNT(CASE WHEN farmers.gender = 'female' AND farmers.is_ethnic = 1 THEN 1 ELSE NULL END) AS NonCigtTotalEthnicFemale
")
->join('adopting_farmers', 'adopting_farmers.id', '=', 'adopting_technologies.adopting_farmer_id')
->leftJoin('cig_members', 'cig_members.id', '=', 'adopting_farmers.cig_member_id')
->leftJoin('farmers', 'farmers.id', '=', 'adopting_farmers.farmer_id')
->leftJoin('financial_years', 'financial_years.id', '=', 'adopting_farmers.financial_year_id')
->leftJoin('technologies', 'technologies.id', '=', 'adopting_technologies.technology_id')
->groupBy('adopting_technologies.technology_id')
->get();
QUESTION
I am making chart based on bins from the data for range of values of x. I am looking, if the labels of bins values(range of x values) can be replaced into characters from xtype ( from extremely saline to non saline) made from x. thanks
...ANSWER
Answered 2021-May-29 at 10:53case_when and cut are alternatives here, don't use both at the same time.
If you have already used case_when -
QUESTION
if type(prevtag_pair) == list:
word_tag=[]
for row in prevtag_pair:
c =0
x =[]
for col in row:
y=[]
for pair in col:
if len(pair[1])> 0:
y.append(pair[0]+ '_'+pair[1])
else:
y.append(pair[0]+ '_' )
x.append(y)
word_tag.append(x)
ANSWER
Answered 2021-May-26 at 14:19I hope this might solve your problem,
QUESTION
It is longitudinal data; ID wise values are repeating 4 times in every tick of 20 steps. Then this experiments repeats. For the datafarme below I want bins based for every tick time steps for the categories of land based on the values of X. Bins can be 3 for every time interval for land type (Small, medium and large) each. I want to see timeline of bins of X based on categories of Land. Any help will be appreciated. I have added possibly a picture of how data may look like for ggplot and plot as bins or dots may look like as in picture.
...ANSWER
Answered 2021-May-24 at 03:04Maybe something like this would help -
QUESTION
I am working in this issue since 2 weeks without any result. Do someone know how to manage with lipq with blobs or bytea without losing format and any data? The exported file size is 0B, I can not understand the steps I must follow to upload a file to a postgreSQL database from C and pick it again with the correct format and features. Any help will be great. I tryed near every example and theory on the net, even PG documents and manuals, no way. I am close to quit programing and go farmer (not jocking xD). Thank you in advance.
After code modifications, I pick a file 59bytes higher than the file uploaded as large object. Feeling I am closer but changing my mind about using Large Objects.
...ANSWER
Answered 2021-May-20 at 14:47Like the documentation says:
The descriptor is only valid for the duration of the current transaction.
So you must call lo_open and lo_read in the same transaction.
Do not use large objects. They are slow, complicated to use and give you all kinds of serious trouble (for example, if you have many of them). Use bytea, then your code will become much simpler.
QUESTION
So I am trying to understand how the match_phrase query works under certain circumstances with elastic search [We have version 6.8 set up as of now ] . When I give it a string with multiple tokens it shows while profiling its running a phrase query but when I run it with a single token while profiling it shows its running a termsquery internally . I am trying to understand shouldn't it be independent of the input and if the positioning of terms is not correct fail to return a match ? Attaching queries and o/p -
Query with multiple tokens -
...ANSWER
Answered 2021-May-18 at 02:34You are executing the same match_phrase query, once with a search string made up of multiple terms, once with a search string of a single token.
When executing an Elasticsearch query, Elasticsearch will optimise the query and translate it to the relevant queries on Lucene level. A phrase-query is more expensive to execute as
- all terms of the search string need to match, and on top of that
- the positions of the terms in a matching document need to be in the very same order as in the search string
If your search string only consist of a single term Elasticsearch can skip all of that extra effort and simply query for documents matching that single search term. What you observe therefore, is making perfect sense. It shows you how Elasticsearch is optimising the query while executing it.
QUESTION
I'm struggling in cleaning a table that has multiple columns
I need to covert the name of the month into a date with dummy day and year I have tried this function here but it didn't work so well.
sample of table
...ANSWER
Answered 2021-May-01 at 11:32You can write a function which changes all the values in a column to date. For the example that you have shared this would work :
QUESTION
I have a movieDetails.json database and the collection name is a movie then our teacher wants us to Display the number of movies based on the number of directors a movie has a. Hint you might have to use the javascript function split Since the director is not an array, it is only a string so I can't count how many directors are there because it will always come out as 1 since its a string so I want to split that string so that I can get an array so that I can count it. But unfortunately, I don't know the query that will solve this problem. ex. of expected output:
...ANSWER
Answered 2021-Apr-28 at 11:45Demo - https://mongoplayground.net/p/y3kvFnocWKn
Use aggregation query
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