Kiterunner – Contextual Content Discovery Tool
For the longest of times, content discovery has been focused on finding files and folders. While this approach is effective for legacy web servers that host static files or respond with 3xx’s upon a partial path, it is no longer effective for modern web applications, specifically APIs.
Over time, we have seen a lot of time invested in making content discovery tools faster so that larger wordlists can be used, however the art of content discovery has not been innovated upon.
Kiterunner is a tool that is capable of not only performing traditional content discovery at lightning fast speeds, but also bruteforcing routes/endpoints in modern applications.
Modern application frameworks such as Flask, Rails, Express, Django and others follow the paradigm of explicitly defining routes which expect certain HTTP methods, headers, parameters and values.
When using traditional content discovery tooling, such routes are often missed and cannot easily be discovered.
By collating a dataset of Swagger specifications and condensing it into our own schema, Kiterunner can use this dataset to bruteforce API endpoints by sending the correct HTTP method, headers, path, parameters and values for each request it sends.
Swagger files were collected from a number of datasources, including an internet wide scan for the 40+ most common swagger paths. Other datasources included GitHub via BigQuery, and APIs.guru.
Installation
Downloading a release
You can download a pre-built copy from https://github.com/assetnote/kiterunner/releases.
Building from source
# build the binary
make build
# symlink your binary
ln -s $(pwd)/dist/kr /usr/local/bin/kr
# compile the wordlist
# kr kb compile <input.json> <output.kite>
kr kb compile routes.json routes.kite
# scan away
kr scan hosts.txt -w routes.kite -x 20 -j 100 --ignore-length=1053The JSON datasets can be found below:
- routes-large.json (118MB compressed, 2.6GB decompressed)
- routes-small.json (14MB compressed, 228MB decompressed)
Alternatively, it is possible to download the compile .kite files from the links below:
- routes-large.kite (40MB compressed, 183M decompressed)
- routes-small.kite (2MB compressed, 35MB decompressed)
Usage
Quick Start
kr [scan|brute] <input> [flags]
<input>can be a file, a domain, or URI. we’ll figure it out for you. See Input/Host Formatting for more details
# Just have a list of hosts and no wordlist
kr scan hosts.txt -A=apiroutes-210328:20000 -x 5 -j 100 --fail-status-codes 400,401,404,403,501,502,426,411
# You have your own wordlist but you want assetnote wordlists too
kr scan target.com -w routes.kite -A=apiroutes-210328:20000 -x 20 -j 1 --fail-status-codes 400,401,404,403,501,502,426,411
# Bruteforce like normal but with the first 20000 words
kr brute https://target.com/subapp/ -A=aspx-210328:20000 -x 20 -j 1
# Use a dirsearch style wordlist with %EXT%
kr brute https://target.com/subapp/ -w dirsearch.txt -x 20 -j 1 -exml,asp,aspx,ashx -D
CLI Help
Usage:
kite scan [flags]
Flags:
-A, --assetnote-wordlist strings use the wordlists from wordlist.assetnote.io. specify the type/name to use, e.g. apiroutes-210228. You can specify an additional maxlength to use only the first N values in the wordlist, e.g. apiroutes-210228;20000 will only use the first 20000 lines in that wordlist
--blacklist-domain strings domains that are blacklisted for redirects. We will not follow redirects to these domains
--delay duration delay to place inbetween requests to a single host
--disable-precheck whether to skip host discovery
--fail-status-codes ints which status codes blacklist as fail. if this is set, this will override success-status-codes
--filter-api strings only scan apis matching this ksuid
--force-method string whether to ignore the methods specified in the ogl file and force this method
-H, --header strings headers to add to requests (default [x-forwarded-for: 127.0.0.1])
-h, --help help for scan
--ignore-length strings a range of content length bytes to ignore. you can have multiple. e.g. 100-105 or 1234 or 123,34-53. This is inclusive on both ends
--kitebuilder-full-scan perform a full scan without first performing a phase scan.
-w, --kitebuilder-list strings ogl wordlist to use for scanning
-x, --max-connection-per-host int max connections to a single host (default 3)
-j, --max-parallel-hosts int max number of concurrent hosts to scan at once (default 50)
--max-redirects int maximum number of redirects to follow (default 3)
-d, --preflight-depth int when performing preflight checks, what directory depth do we attempt to check. 0 means that only the docroot is checked (default 1)
--profile-name st ring name for profile output file
--progress a progress bar while scanning. by default enabled only on Stderr (default true)
--quarantine-threshold int if the host return N consecutive hits, we quarantine the host as wildcard. Set to 0 to disable (default 10)
--success-status-codes ints which status codes whitelist as success. this is the default mode
-t, --timeout duration timeout to use on all requests (default 3s)
--user-agent string user agent to use for requests (default "Chrome. Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.96 Safari/537.36")
--wildcard-detection can be set to false to disable wildcard redirect detection (default true)
Global Flags:
--config string config file (default is $HOME/.kiterunner.yaml)
-o, --output string output format. can be json,t ext,pretty (default "pretty")
-q, --quiet quiet mode. will mute unecessarry pretty text
-v, --verbose string level of logging verbosity. can be error,info,debug,trace (default "info")
bruteforce flags (all the flags above +)
-D, --dirsearch-compat this will replace %EXT% with the extensions provided. backwards compat with dirsearch because shubs loves him some dirsearch
-e, --extensions strings extensions to append while scanning
-w, --wordlist strings normal wordlist to use for scanning
Input/Host Formatting
When supplied with an input, kiterunner will attempt to resolve the input in the following order:
- Is the input a file. If so read all the lines in the file as separate domains
- The input is treated as a “domain”
If you supply a “domain”, but it exists as a file, e.g. google.com but google.com is also a txt file in the current directory, we’ll load google.com the text file, because we found it first.
Domain Parsing
Its preferred that you provide a full URI as the input, however you can provide incomplete URIs and we’ll try and guess what you mean. An example list of domains you can supply are:
one.com
two.com:80
three.com:443
four.com:9447
https://five.com:9090
http://six.com:80/api
The above list of domains will expand into the subsequent list of targets
(two targets are created for one.com, since neither port nor protocol was specified)
http://one.com (port 80 implied)
https://one.com (port 443 implied)
http://two.com (port 80 implied)
https://three.com (port 443 implied)
http://four.com:9447 (non-tls port guessed)
https://five.com:9090
http://six.com/api (port 80 implied; basepath API appended)
the rules we apply are:
- if you supply a scheme, we use the scheme.
- We only support http & https
- if you don’t supply a scheme, we’ll guess based on the port
- if you supply a port, we’ll use the port
- If your port is 443, or 8443, we’ll assume its tls
- if you don’t supply a port, we’ll guess both port 80, 443
- if you supply a path, we’ll prepend that path to all requests against that host
API Scanning
When you have a single target
# single target
kr scan https://target.com:8443/ -w routes.kite -A=apiroutes-210228:20000 -x 10 --ignore-length=34
# single target, but you want to try http and https
kr scan target.com -w routes.kite -A=apiroutes-210228:20000 -x 10 --ignore-length=34
# a list of targets
kr scan targets.txt -w routes.kite -A=apiroutes-210228:20000 -x 10 --ignore-length=34Vanilla Bruteforcing
kr brute https://target.com -A=raft-large-words -A=apiroutes-210228:20000 -x 10 -d=0 --ignore-length=34 -ejson,txtDirsearch Bruteforcing
For when you have an old-school wordlist that still has %EXT% in the wordlist, you can use -D. this will only substitute the extension where %EXT% is present in the path
kr brute https://target.com -w dirsearch.txt -x 10 -d=0 --ignore-length=34 -ejson,txt -DTechnical Features
Depth Scanning
A key feature of kiterunner is depth based scanning. This attempts to handle detecting wildcards given virtual application path based routing. The depth defines how many directories deep the baseline checks are performed E.g.
~/kiterunner $ cat wordlist.txt
/api/v1/user/create
/api/v1/user/delete
/api/v2/user/
/api/v2/admin/
/secrets/v1/
/secrets/v2/- At depth 0, only
/would have the baseline checks performed for wildcard detection - At depth 1,
/apiand/secretswould have baseline checks performed; and these checks would be used against/apiand/secretscorrespondingly - At depth 2,
/api/v1,/api/v2,/secrets/v1and/secrets/v2would all have baseline checks performed.
By default, kr scan has a depth of 1, since from internal usage, we’ve often seen this as the most common depth where virtual routing has occured. kr brute has a default depth of 0, as you typically don’t want this check to be performed with a static wordlist.
Naturally, increasing the depth will increase the accuracy of your scans, however this also increases the number of requests to the target. (# of baseline checks * # of depth baseline directories). Hence, we recommend against going above 1, and in rare cases going to depth 2.
Using Assetnote Wordlists
We provide inbuilt downloading and caching of wordlists from assetnote.io. You can use these with the -A flag which receives a comma delimited list of aliases, or fullnames.
You can get a full list of all the Assetnote wordlists with kr wordlist list.
The wordlists when used, are cached in ~/.cache/kiterunner/wordlists. When used, these are compiled from .txt -> .kite
+-----------------------------------+-------------------------------------------------------+----------------+---------+----------+--------+
| ALIAS | FILENAME | SOURCE | COUNT | FILESIZE | CACHED |
+-----------------------------------+-------------------------------------------------------+----------------+---------+----------+--------+
| 2m-subdomains | 2m-subdomains.txt | manual.json | 2167059 | 28.0mb | false |
| asp_lowercase | asp_lowercase.txt | manual.json | 24074 | 1.1mb | false |
| aspx_lowercase | aspx_lowercase.txt | manual.json | 80293 | 4.4mb | false |
| bak | bak.txt | manual.json | 3172 5 | 634.8kb | false |
| best-dns-wordlist | best-dns-wordlist.txt | manual.json | 9996122 | 139.0mb | false |
| cfm | cfm.txt | manual.json | 12100 | 260.3kb | true |
| do | do.txt | manual.json | 173152 | 4.8mb | false |
| dot_filenames | dot_filenames.txt | manual.json | 3191712 | 71.3mb | false |
| html | html.txt | manual.json | 4227526 | 107.7mb | false |
| apiroutes-201120 | httparchive_apiroutes_2020_11_20.txt | automated.json | 953011 | 45.3mb | false |
| apiroutes-210128 | httparchive_apiroutes_2021_01_28.txt | autom ated.json | 225456 | 6.6mb | false |
| apiroutes-210228 | httparchive_apiroutes_2021_02_28.txt | automated.json | 223544 | 6.5mb | true |
| apiroutes-210328 | httparchive_apiroutes_2021_03_28.txt | automated.json | 215114 | 6.3mb | false |
| aspx-201118 | httparchive_aspx_asp_cfm_svc_ashx_asmx_2020_11_18.txt | automated.json | 63200 | 1.7mb | false |
| aspx-210128 | httparchive_aspx_asp_cfm_svc_ashx_asmx_2021_01_28.txt | automated.json | 46286 | 928.7kb | false |
| aspx-210228 | httparchive_aspx_asp_cfm_svc_ashx_asmx_2021_02_28.txt | automated.json | 43958 | 883.3kb | false |
| aspx-210328 | httparchive_aspx_asp_cfm_svc_ashx_asmx_2021_03_28.txt | automated.json | 45928 | 926.8kb | false |
| cgi-201118 | httparchive_cgi_pl_2020_11_18.txt | automated.json | 2637 | 44.0kb | false |
<SNIP>
Usage
kr scan targets.txt -A=apiroutes-210228 -x 10 --ignore-length=34
kr brute targets.txt -A=aspx-210228 -x 10 --ignore-length=34 -easp,aspx
Head Syntax
When using assetnote provided wordlists, you may not want to use the entire wordlist, so you can opt to use the first N lines in a given wordlist using the head syntax. The format is <wordlist_name>:<N lines> when specifying a wordlist.
Usage
# this will use the first 20000 lines in the api routes wordlist
kr scan targets.txt -A=apiroutes-210228:20000 -x 10 --ignore-length=34
# this will use the first 10 lines in the aspx wordlist
kr brute targets.txt -A=aspx-210228:10 -x 10 --ignore-length=34 -easp,aspx
Concurrency Settings/Going Fast
Kiterunner is made to go fast on a lot of hosts. But, just because you can run kiterunner at 20000 goroutines, doesn’t mean its a good idea. Bottlenecks and performance degredation will occur at high thread counts due to more time spent scheduling goroutines that are waiting on network IO and kernel context switching.
There are two main concurrency settings for kiterunner:
-x, --max-connection-per-host– maximum number of open connections we can have on a host. Governed by 1 goroutine each. To avoid DOS’ing a host, we recommend keeping this in a low realm of 5-10. Depending on latency to the target, this will yield on average between 1-5 requests per second per connection (200ms – 1000ms/req) to a host.-j, --max-parallel-hosts– maximum number of hosts to scan at any given time. Governed by 1 goroutine supervisor for each
Depending on the hardware you are scanning from, the “maximum” number of goroutines you can run optimally will vary. On an AWS t3.medium, we saw performance degradation going over 2500 goroutines. Meaning, 500 hosts x 5 conn per host (2500) would yield peak performance.
We recommend against running kiterunner from your macbook. Due to poor kernel optimisations for high IO counts and Epoll syscalls on macOS, we noticed substantially poorer (0.3-0.5x) performance when compared to running kiterunner on a similarly configured linux instance.
To maximise performance when scanning an individual target, or a large attack surface we recommend the following tips:
- Spin up an EC2 instance in a similar geographic region/datacenter to the target(s) you are scanning
- Perform some initial benchmarks against your target set with varying
-xand-joptions. We recommend having a typical starting point of around-x 5 -j 100and moving-jupwards as your CPU usage/network performance permits
Converting between file formats
Kiterunner will also let you convert between the schema JSON, a kite file and a standard txt wordlist.
Usage
The format is decided by the filetype extension supplied by the <input> and <output> fields. We support txt, json and kite
kr kb convert wordlist.txt wordlist.kite
kr kb convert wordlist.kite wordlist.json
kr kb convert wordlist.kite wordlist.txt❯ go run ./cmd/kiterunner kb convert -qh
convert an input file format into the specified output file format
this will determine the conversion based on the extensions of the input and the output
we support the following filetypes: txt, json, kite
You can convert any of the following into the corresponding types
-d Debug mode will attempt to convert the schema with error handling
-v=debug Debug verbosity will print out the errors for the schema
Usage:
kite kb convert <input> <output> [flags]
Flags:
-d, --debug debug the parsing
-h, --help help for convert
Global Flags:
--config string config file (default is $HOME/.kiterunner.yaml)
-o, --output string output format. can be json,text,pretty (default "pretty")
-q, --quiet quiet mode. will mute unecessarry pretty text
-v, --verbose string level of logging verbosity. can be error,info,debug,trace ( default "info")``bigquery
Replaying requests
When you receive a bunch of output from kiterunner, it may be difficult to immediately understand why a request is causing a specific response code/length. Kiterunner offers a method of rebuilding the request from the wordlists used including all the header and body parameters.
- You can replay a request by copy pasting the full response output into the
kb replaycommand. - You can specify a
--proxyto forward your requests through, so you can modify/repeat/intercept the request using 3rd party tools if you wish - The golang net/http client will perform a few additional changes to your request due to how the default golang spec implementation (unfortunately).
❯ go run ./cmd/kiterunner kb replay -q --proxy=http://localhost:8080 -w routes.kite "POST 403 [ 287, 10, 1] https://target.com/dedalo/lib/dedalo/publication/server_api/v1/json/thesaurus_parents 0cc39f76702ea287ec3e93f4b4710db9c8a86251"
11:25AM INF Raw reconstructed request
POST /dedalo/lib/dedalo/publication/server_api/v1/json/thesaurus_parents?ar_fields=48637466&code=66132381&db_name=08791392&lang=lg-eng&recursive=false&term_id=72336471 HTTP/1.1
Content-Type: any
11:25AM INF Outbound request
POST /dedalo/lib/dedalo/publication/server_api/v1/json/thesaurus_parents?ar_fields=48637466&code=66132381&db_name=08791392&lang=lg-eng&recursive=false&term_id=72336471 HTTP/1.1
Host: target.com
User-Agent: Go-http-client/1.1
Content-Length: 0
Content-Type: any
Accept-Encoding: gzip
11:25AM INF Response After Redirects
HTTP/1.1 403 Forbidden
Connection: close
Content-Length: 45
Content-Type: application/json
Date: Wed, 07 Apr 2021 01:25:28 GMT
X-Amzn-Requestid: 7e6b2ea1-c662-4671-9eaa-e8cd31b463f2
User is not authorized to perform this actionTechnical Implementation
Intermediate Data Type (PRoutes)
We use an intermediate representation of wordlists and kitebuilder json schemas in kiterunner. This is to allow us to dynamically generate the fields in the wordlist and reconstruct request bodies/headers and query parameters from a given spec.
The PRoute type is composed of Headers, Body, Query and Cookie parameters that are encoded in pkg/proute.Crumb. The Crumb type is an interface that is implemented on types such as UUIDs, Floats, Ints, Random Strings, etc.
When performing conversions to and from txt, json and kite files, all the conversions are first done to the proute.API intermediate type. Then the corresponding encoding is written out
Kite File Format
We use a super secret kite file format for storing the json schemas from kitebuilder. These are simply protobuf encoded pkg/proute.APIS written to a file. The compilation is used to allow us to quickly deserialize the already parsed wordlist. This file format is not stable, and should only be interacted with using the inbuilt conversion tools for kiterunner.
When a new version of the kite file format is released, you may need to recompile your kite files
