Subdomain Takeover Tools
A set of tools to validate the initial outcome of subtake.
Installation
-
Install using pip:
pip install subdomain_takeover_toolsfor windows:
py -m pip install subdomain_takeover_toolsAlternatively, you can download or clone this repo and call
pip install -e ..
Confirming takeovers
All scripts support the following two parameters:
--strict: only report as vulnerable if the issue is not also applicable onhostname.tldandwww.hostname.tld.--inverse: do inverse reporting, so report all subdomains that are not vulnerable
Supported input formats
In addition to plain hostnames, the scripts accept the output of two scanners and auto-detect which one is used per line:
- subtake:
[service: target]<tab><tab>domain - nuclei takeover templates:
[template-id] [protocol] [severity] url ["extracted-cname"]
For the unified confirm_takeover dispatcher, nuclei template ids such as github-takeover and aws-bucket-takeover are mapped to the matching service validator automatically. Findings for services without a validator are considered unsupported and dropped by default. The dispatcher accepts two extra parameters:
--full: output the full input line instead of just the domain.--include-unsupported: also emit unsupported findings (services with no validator), so a single pass over nuclei output keeps both confirmed-vulnerable and not-yet-disproven findings.
Some scripts require a config file to be present, the location is .subdomain_takeover_tools.ini, an example of the file can be found below:
[azure]
subscription_id=44713cf2-8656-11ec-a8a3-0242ac120002
[github]
username=martinvw
access_token=44713cf2-8656-11ec-a8a3-0242ac120002
repo=44713cf2-8656-11ec-a8a3-0242ac120002
[fastly]
api_token=44713cf2-8656-11ec-a8a3-0242ac120002
service=44713cf2-8656-11ec-a8a3-0242ac120002
version=3
Confirming S3
Subtake has some false positives on Google Cloud buckets as S3 buckets, also some access denied's end up in the results.
The script confirm-s3.py will make sure that the bucket is actually vulnerable.
grep "\[s3 bucket: " subtake-output.txt | confirm_s3
Confirming ELB
Some patterns of elb are vulnerable while others are not, to filter them we can use our script:
grep "\[elasticbeanstalk: " subtake-output.txt | confirm_elb
Note: the parameter --strict is accepted here but will not lead to expected results.
Please note that some regions are not enabled by default, when you receive the following error:
botocore.exceptions.ClientError: An error occurred (InvalidClientTokenId) when calling the CheckDNSAvailability operation: The security token included in the request is invalid.
This could mean you have not yet enabled these, opt-in, regions, see https://console.aws.amazon.com/billing/home?#/account
Confirming Shopify
It seems that all current shopify examples are vulnerable, the following check just validates the DNS.
grep "\[shopify: " subtake-output.txt | confirm_shopify
Filtering Pantheon
Please note that for pantheon this repo currently only provides an initial check to eliminate some FALSE positives.
grep "\[pantheon: " subtake-output.txt | confirm_pantheon
Filtering Cargo Collective
Please note that for Cargo Collective this repo currently only provides an initial check to eliminate some FALSE positives.
grep "\[cargo: " subtake-output.txt | confirm_cargo
HTTP-fingerprint validators
The following services are validated by fetching the candidate host over HTTP(S) and looking for the provider's "domain not connected / unclaimed" error page. They need no config or credentials, and they short-circuit (return not-vulnerable) for the provider's own hostnames, which filters the bulk of self-referential false positives:
| Command | Service | Fingerprint |
|---|---|---|
confirm_framer |
Framer | Site Not Found | Framer |
confirm_leadpages |
Leadpages | "This page couldn't be found…" |
confirm_meteor |
Meteor / Galaxy | "No applications registered for host" |
confirm_surveysparrow |
SurveySparrow | "Account not found." |
confirm_greatpages |
GreatPages | "Página não encontrada (Erro 404)" |
confirm_wix |
Wix | "Error ConnectYourDomain occurred" |
confirm_mashery |
Mashery | "Unrecognized domain" |
grep "\[framer: " subtake-output.txt | confirm_framer
These are also wired into the unified confirm_takeover dispatcher via their nuclei template
ids (framer-takeover, leadpages-takeover, meteor-takeover, surveysparrow-takeover,
greatpages-takeover, wix-takeover, mashery-takeover).
Separate tools
Extracting domain names
As part of my process I want to know the domains involved in my findings.
Example usage:
cut -f3 < subtake-output.txt | extract_domain_names | sort -u > involved.domains
Note that extract_domain_names also support groups, such as domain.(co.id|in.th|ph|vn), this will be expanded automatically.
Resolving from the authoritative DNS authority
For validation of the results I want to validate whether the DNS record is still accurate.
To do this we fetch the authoritative result's step by step from the authoritative DNS servers.
authoritative_resolve "github.com" "martinvw.nl"
Exporting and enriching
The subtake_enrich_and_export will split the existing output and add some additional columms:
- has a wildcard
- domain name
- tld
- still vulnerable
- authoritative results
subtake_enrich_and_export < subtakee-output.txt
Release files for subdomain-takeover-tools 0.57.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| subdomain_takeover_tools-0.57.0.tar.gz | 24.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| subdomain_takeover_tools-0.57.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:61.0 kB
Release files / subdomain_takeover_tools-0.57.0.tar.gz
| Download URL | subdomain_takeover_tools-0.57.0.tar.gz |
|---|---|
| Size | 24.6 kB |
| Tags | Source |
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Release files / subdomain_takeover_tools-0.57.0-py3-none-any.whl
| Download URL | subdomain_takeover_tools-0.57.0-py3-none-any.whl |
|---|---|
| Size | 36.4 kB |
| Tags | Python 3 |
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