Show HN: 4B+ DNS Records Dataset(merklemap.com)
merklemap.com
Show HN: 4B+ DNS Records Dataset
https://www.merklemap.com/dns-records-database
28 comments
Neat! How is this different than domaintools/farsight [1]?
Passive DNS [2] has been in my toolbox for 15+ years, and is invaluable for security research / threat intelligence. Knowing historical resolutions to something are so helpful in investigations.
For anyone interested, they should check out the talk by one of the DomainTools people [3] on how it can be utilized for investigation.
Are you passively collecting this data, or actively querying for these records?
[1] - https://www.domaintools.com/products/threat-intelligence-fee...
[2] - https://www.circl.lu/services/passive-dns/
[3] - https://www.youtube.com/watch?v=oXmapqLkZd0
Passive DNS [2] has been in my toolbox for 15+ years, and is invaluable for security research / threat intelligence. Knowing historical resolutions to something are so helpful in investigations.
For anyone interested, they should check out the talk by one of the DomainTools people [3] on how it can be utilized for investigation.
Are you passively collecting this data, or actively querying for these records?
[1] - https://www.domaintools.com/products/threat-intelligence-fee...
[2] - https://www.circl.lu/services/passive-dns/
[3] - https://www.youtube.com/watch?v=oXmapqLkZd0
is this making use of letsencrypt as well? afaik all letsencrypt signed certificates including all subdomains are immediately public, which could be useful for security research as well
It's not about letsencrypt but certificate transparency which works the same for all public CAs.
I wrote a documentation piece here:
https://www.merklemap.com/documentation/how-it-works
I wrote a documentation piece here:
https://www.merklemap.com/documentation/how-it-works
At first glance it looks like this data is generated via the public certificate transparency log, so I would imagine the answer is yes.
There are quite many duplicates, looks like for CNAME records only/mostly. Here are some from the beginning
staging.pannekoeken-poffertjes-restaurant-amstelland.nl,CNAME,www.pannekoeken-poffertjes-restaurant-amstelland.nl.
staging.pannekoeken-poffertjes-restaurant-amstelland.nl,CNAME,www.pannekoeken-poffertjes-restaurant-amstelland.nl.
www.domiciliatuempresa.com,CNAME,domiciliatuempresa.com.
www.domiciliatuempresa.com,CNAME,domiciliatuempresa.com.
*.autokozmetikakaposvar.hu,CNAME,autokozmetikakaposvar.hu.
*.autokozmetikakaposvar.hu,CNAME,autokozmetikakaposvar.hu.
c7ac691a.oob-nuq1907.indubitably.xyz,CNAME,oob-nuq1907.hosts.secretcdn.net.
c7ac691a.oob-nuq1907.indubitably.xyz,CNAME,oob-nuq1907.hosts.secretcdn.net.
It’s because I don’t try to de duplicate and just saves whatever response I get, which translates to this obvious behavior for cnames. Shouldn’t be a big deal.
I may improve that in future releases.
I may improve that in future releases.
Is there a good tool to browse big text archives, like .csv.xz, .csv.gz, or .7z, without decompressing them?
I don't want to decompress 29 GB into 211 GB each time I want to make a search.
Except grep / zgrep, is there a good tool/viewer (or hex editor that can decompress parts of big files for display) for this general task?
I don't want to decompress 29 GB into 211 GB each time I want to make a search.
Except grep / zgrep, is there a good tool/viewer (or hex editor that can decompress parts of big files for display) for this general task?
Thank you for data set!!!
It is not always lowercase, so it have some duplicates.
Also you can avoid unnecessary data with analyze CNAME records. -- domain.tld CNAME www.domain.tld -- So you can use only domain.tld or www.domain.tld records.
Also you can avoid unnecessary data with analyze CNAME records. -- domain.tld CNAME www.domain.tld -- So you can use only domain.tld or www.domain.tld records.
I've worked in the industry at IID and Farsight. I am skeptical of many claims made by IoC vendors.
You need timestamps, or first / last seen.
Records don't exist in a vacuum. They come in RRsets. They are served (sometimes inconsistently) by different nameservers. Some use cases care about this.
Records which don't resolve are also useful, especially for use cases which amount to front-running. On any given day if the wind was blowing the right direction .belkin could be one of the top 10 non-resolving TLDs. If your data is any good, check under .cisco for stuff which resolves to 127.0.53.53. ;-)
Information about provenance (where the data comes from) is required for some use cases.
We shipped Farsight's DNSDB on one or more 1TB drives, depending on what the customer was purchasing.
You need timestamps, or first / last seen.
Records don't exist in a vacuum. They come in RRsets. They are served (sometimes inconsistently) by different nameservers. Some use cases care about this.
Records which don't resolve are also useful, especially for use cases which amount to front-running. On any given day if the wind was blowing the right direction .belkin could be one of the top 10 non-resolving TLDs. If your data is any good, check under .cisco for stuff which resolves to 127.0.53.53. ;-)
Information about provenance (where the data comes from) is required for some use cases.
We shipped Farsight's DNSDB on one or more 1TB drives, depending on what the customer was purchasing.
note - that records can be geolocation routing.
This mean that from country A i can get records as X, but in country B records can be Y.
Would be great if you can make new column in CSV that can show about variations - Y/N.
This mean that from country A i can get records as X, but in country B records can be Y.
Would be great if you can make new column in CSV that can show about variations - Y/N.
How often is it updated?
Does it include expired domains?
Does it include expired domains?
> How often is it updated?
I plan to do 2 releases a month for now, goal is one a day.
> Does it include expired domains?
Yes.
I plan to do 2 releases a month for now, goal is one a day.
> Does it include expired domains?
Yes.
How many domains in this dataset?
Where do you get the data from? Does it include subdomains?
Hi,
https://www.merklemap.com/documentation/how-it-works
Basically the same process here but using that data to perform DNS queries.
https://www.merklemap.com/documentation/how-it-works
Basically the same process here but using that data to perform DNS queries.
I've been working on building a pipeline to create a DNS records database lately. The goal is to enable research as well as competitive landscape analysis on the internet.
The dataset for now spans around 4 billion records and covers all the common DNS record types:
Each line in the CSV file represents a single DNS record in the following format: www.example.com,A,93.184.215.14
Let me know if you have any questions or feedback!