CORStest is a quick & dirty Python 2 tool to find Cross-Origin Resource Sharing (CORS) misconfigurations. It takes a text file as input which may contain a list of domain names or URLs.
Currently, the following potential vulnerabilities are detected by sending a certain Origin
request header and checking for the Access-Control-Allow-Origin
response header:
null
origin via a sandboxed iframeNote that these vulnerabilities/misconfigurations are dependend on the context. In most scenarios, they can only be exploited by an attacker if the Access-Control-Allow-Credentials header
is present (see -q
flag).
Also Read – BurpSuite : Secret Finder Extension To Discover APIkeys/Tokens From HTTP Response
Usage
usage: corstest.py [arguments] infile
positional arguments:
infile File with domain or URL list
optional arguments:
-h, –help show this help message and exit
-c name=value Send cookie with all requests
-p processes multiprocessing (default: 32)
-s always force ssl/tls requests
-q quiet, allow-credentials only
-v produce a more verbose output
CORS For Hackers
Websites enable CORS by sending the following HTTP response header:Access-Control-Allow-Origin: https://example.com
This permits the listed origin (domain) to make visitors’ web browsers issue cross-domain requests to the server and read the responses – something the Same Origin Policy would normally prevent.
By default this request will be issued without cookies or other credentials, so it can’t be used to steal sensitive user-specific information like CSRF tokens. The server can enable credential transmission using the following header:Access-Control-Allow-Credentials: true
This creates a trust relationship – an XSS vulnerability on example.com is bad news for this site.
Example
Use of CORStest to detect misconfigurations for the Alexa top 750 sites (with Access-Control-Allow-Credentials
):
Evaluation
Running this CORStest on the Alexa top 1 million sites reveals the following results:
Note that the absolute numbers are quite low, because only 3% of the 1,000,000 tested websites had CORS enabled on their main page and could be analyzed for misconfigurations. This test took about 14 hours on a decent line (DSL). If you have a fast Internet connection, try to increase the number of parallel processes to -p50
or more.
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