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- Check for bad IPs .
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Netflow Key Features
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Community Discussions
Trending Discussions on Netflow
QUESTION
I am using ELK
stack with Netflow
module. First of all, when I checked CPU
usage Logstash
was using a lot of resources and I decided to stop it. This moment Elasticsearch/Kibana/Logstash
is stopped. I mean, I ran command sudo service elasticsearch/kibana/logstash stop
. Basically, I think that something is wrong with logstash. When I am see log in htop
I am getting something like this, I do not understand why.
When checking logstash
service status, getting something like this.
Logstash
is still running, and I am trying to figure out how to stop it. I think, I ran it in a wrong manner at the start, but why not possible to stop it forever?
ANSWER
Answered 2021-May-10 at 09:14You have to be aware that Logstash will not stop unless it was able to end all pipelines and got rid of all the events in them.
Stopping usually means that it will stop the input, making it so that no new events will enter the pipelines, then depending on the config of persistent queues or not it will process what is in the queue or not. This can indeed take upto several minutes depending on the amount of events and how hard the processing exactly is.
Also keep in mind that when you have large bulk requests going to Elasticsearch itself it could mean that the messages are getting too large.
If it is really needed to stop the Logstash and there is really no need to keeping the events that are in the queue, you can always do a kill -9
on the pid.
QUESTION
Im using cidr filter to check if an IP si public or private. The list of cidrs to check is now hardcoded in the filter but I need to read it from a file or using a meta-variable loaded at runtime.
...ANSWER
Answered 2021-May-06 at 13:14You can use the network_path
setting instead of network
:
QUESTION
I need to store netflow data in Postgresql. This is data about network traffic. Each record contains the following:
- Connection start time
- Connection end time
- Total data transferred
- Source/destination IPs/ASNs
- (There is a bunch more, but that is enough for the purpose of this question).
My question is this: How can I store this data so I can efficiently calculate data transfer rates for the past X days/hours? For example, I may want to draw a chart of all traffic to Netflix's ASN over the last 7 days, with hourly resolution.
The difference between the connection start & end times could be milliseconds, or could be over an hour.
My first-pass at this would be to store the connection in a TSTZRANGE field with a GiST index. Then, to query the data for hourly traffic over the last 7 days:
- Use a CTE to generate a sequence of hourly time buckets
- Look for any TSTZRANGEs which overlap each bucket
- Calculate the duration of the overlap
- Calculate the data rate for the record in bytes per second
- Do duration * bytes per second to get total data
- Group it all on the bucket, summing the total data values
However, that sounds like a lot of heavy lifting. Can anyone think of a better option?
...ANSWER
Answered 2021-Jan-26 at 00:42A first draft:
QUESTION
I'm attempting to perform some statistical analysis of netflow data from a dataset that was provided to me, however I am getting a number of TCP Flags that do not represent the normal UAPRSF format.
The following hex values have also been included:
- 0x52
- 0x5a
- 0xc2
- 0xd3
- 0xd6
- 0xd7
- 0xda
- 0xdb
- 0xdf
I understand that the TCP flag is originally stored as HEX and then translated into the appropriate flags, but I don't understand where the additional values are coming from
...ANSWER
Answered 2020-Oct-17 at 22:49There are an additional 3 ECN Bits immediately prior to the 6 control bits used to describe the TCP Flags. (see http://www.networksorcery.com/enp/protocol/tcp.htm)
Following the explanation provided in the below link, you can translate the additional hexadecimal values into flags including the ECN bits: https://www.manitonetworks.com/flow-management/2016/10/16/decoding-tcp-flags
QUESTION
I have a huge NetFlow database, (it contains a Timestamp, Source IP, Dest IP, Protocol, Source and Dest Port Num., Packets Exchanged, Bytes and more). I want to create custom attributes based on the current and previous rows.
I want to calculate new columns based on the source ip and timestamp of the current row. This what i want to do logically:
- Get the source ip for the current row.
- Get the Timestamp for the current row.
- Based on the source IP, and Timestamp, I want to get all the Previous rows of the entire dataframe, that matches the source IP, and the communicaton happened in the last half an hour. This is very important.
- For the rows(Flows, in my example), that matches the criteria (source ip and happened in the last half hour), I want to count the sum and mean of all the packets and all the bytes.
Snippets of relevant code:
...ANSWER
Answered 2020-Oct-07 at 11:53Documented inline
QUESTION
string_features = []
for j in main_labels2:
if df[j].dtype == "object":
string_features.append(j)
try:
string_features.remove("Label")
except:
print("error!")
...ANSWER
Answered 2020-Sep-12 at 07:31To filter out Label
, you can do something like:
QUESTION
I have a logstash pipeline with many filters, it ingests netflow data using the netflow module.
I would like to add one field to the output result. The name of the field being: "site"
Site is going to be a numeric value present in a file. How do I create the field from the file?
Eg:
...ANSWER
Answered 2020-Jul-31 at 11:59You can leverage an environment variable in the Logstash configuration. First, export the variable before running Docker/Logstash:
QUESTION
I am a beginner. I use paramiko to push configuration to devices. I use anaconda on a windows machine. How do I use database and proper formatting to take the output? Please suggest some learning on exception handling.
...ANSWER
Answered 2020-Jun-26 at 20:38Used mongodb, pymongo, paramiko, get_transport(). Was able to pick data from database. Was able to dry run . Having few hiccups on the exceptions. Anyhow, I am able complete current task.
QUESTION
I have a source table which I pivot and then want to sum across all columns except 1 column, here TRADEDATE
. The error occurs in the step #"Filled Down"#
and a similar error in the next step.
ANSWER
Answered 2020-Jun-26 at 11:13let
Source = Excel.CurrentWorkbook(){[Name="tbl_equi_funds"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"TRADEDATE", type date}, {"ID", Int64.Type}, {"Name Equity", type text}, {"AccNetFlow", type number}}),
#"Removed Columns1" = Table.RemoveColumns(#"Changed Type",{"ID", "Redemption", "Emission", "Netflow"}),
#"Pivoted Column" = Table.Pivot(#"Removed Columns1", List.Distinct(#"Removed Columns1"[Name Equity]), "Name Equity", "AccNetFlow"),
#"Changed Type1" = Table.TransformColumnTypes(#"Pivoted Column",{{"TRADEDATE", type date}}),
#"Filled Down" = Table.FillDown(#"Changed Type1",
Table.ColumnNames(#"Changed Type1")),
#"Inserted Sum" = Table.AddColumn(#"Filled Down", "SUM", each List.Sum(
Record.ToList(Record.RemoveFields(_, {"TRADEDATE"}))), type number)
in
#"Inserted Sum"
QUESTION
I have a very large netflow dataset that looks something like this:
...ANSWER
Answered 2020-Jun-20 at 12:32The offending sites you have are not regexes, they are shell wildcards. However, you could use fnmatch.translate
to convert them to regexes:
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Install Netflow
You can use Netflow like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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