Find DKIM and DMARC Records?
Solution 1
To query the TXT record for DMARC, you can use:
dig TXT _dmarc.example.org
To query for a particular record for DKIM, you would need to know the selector prefix. You will find it in the s
value in an email's DKIM-Signature.
For example:
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=example.org;
s=google; t=1615461277;
[…]
You would then query it as TXT:
dig TXT google._domainkey.example.org
Solution 2
For DKIM records, if you have received a DKIM-signed email from that domain, look at the DKIM-Signature header line(s).
From the spec:
All DKIM keys are stored in a subdomain named _domainkey. Given a DKIM-Signature field with a "d=" tag of example.com and an "s=" tag of foo.bar, the DNS query will be for foo.bar._domainkey.example.com.
So in this example, you can then run:
dig TXT foo.bar._domainkey.example.com
Credit to andol, whose comment led me to this solution.
Solution 3
You should use +short with dig to get the DMARC record only.
dig +short TXT _dmarc.domain.com
Solution 4
Using Windows built-in tool nslookup
- Open Command Prompt (cmd.exe)
- Enter
nslookup
- Enter
set type=txt
- Enter
_dmarc.somedomain.org
, replace somedomain.org
Example:
C:\Users\user>nslookup
Default Server: localdns
Address: 192.168.1.1
> set type=txt
> _dmarc.somedomain.org
Non-authoritative answer:
_dmarc.somedomain.org text =
"v=DMARC1; p=none; rua=mailto:[email protected]"
You may use server 8.8.8.8
(Google DNS) before lookup DMARC TXT record.
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mstr
Updated on September 18, 2022Comments
-
mstr almost 2 years
I imported a json file from google drive to Colab like this
downloaded = drive.CreateFile({'id':'XXX'}) downloaded.GetContentFile('All_Beauty.json')
and when I try reading the file with
import pandas as pd beauty_df = pd.read_json('All_Beauty.json') beauty_df.head()
I get this error:
ValueError Traceback (most recent call last) <ipython-input-15-1acb00f4feed> in <module>() ----> 1 beauty_df = pd.read_json('All_Beauty.json') 2 beauty_df.head() 5 frames /usr/local/lib/python3.6/dist-packages/pandas/io/json/_json.py in _parse_no_numpy(self) 1087 if orient == "columns": 1088 self.obj = DataFrame( -> 1089 loads(json, precise_float=self.precise_float), dtype=None 1090 ) 1091 elif orient == "split":
ValueError: Trailing data
Any idea of what is going wrong? Many thanks
-
ceejayoz almost 10 yearsDKIM records are applied to arbitrary subdomains (Google Apps uses
google._domainkey.example.com
) that you'd have to know/guess to look for. -
Mathias R. Jessen almost 10 yearsIt depends on the selector prefix used, part of the DKIM header in a signed email
-
-
mwfearnley over 4 yearsWouldn't
nslookup -type=txt _dmarc.somedomain.org [8.8.8.8]
be simpler?