Cameradar allows you to
- Detect open RTSP hosts on any accessible target host
- Detect which device model is streaming
- Launch automated dictionary attacks to get their stream route (e.g.:
/live.sdp
) - Launch automated dictionary attacks to get the username and password of the cameras
- Retrieve a complete and user-friendly report of the results
Docker Image for Cameradar
Install docker on your machine, and run the following command:
docker run -t ullaakut/cameradar -t <target> <other command-line options>
e.g.:
docker run -t ullaakut/cameradar -t 192.168.100.0/24 -l
will scan the ports 554 and 8554 of hosts on the 192.168.100.0/24 subnetwork and attack the discovered RTSP streams and will output debug logs.YOUR_TARGET
can be a subnet (e.g.:172.16.100.0/24
), an IP (e.g.:172.16.100.10
), or a range of IPs (e.g.:172.16.100.10-20
).- If you want to get the precise results of the nmap scan in the form of an XML file, you can add
-v /your/path:/tmp/cameradar_scan.xml
to the docker run command, beforeullaakut/cameradar
. - If you use the
-r
and-c
options to specify your custom dictionaries, make sure to also use a volume to add them to the docker container. Example:docker run -t -v /path/to/dictionaries/:/tmp/ ullaakut/cameradar -r /tmp/myroutes -c /tmp/mycredentials.json -t mytarget
Installing the binary on your machine
Only use this solution if for some reason using docker is not an option for you or if you want to locally build Cameradar on your machine.
Dependencies
go
dep
Installing dep
- OSX:
brew install dep
andbrew upgrade dep
- Others: Download the release package for your OS here
Steps to install
Make sure you installed the dependencies mentionned above.
go get github.com/Ullaakut/cameradar
cd $GOPATH/src/github.com/Ullaakut/cameradar
dep ensure
cd cameradar
go install
cameradar
binary is now in your $GOPATH/bin
ready to be used. See command line options here.Library
Dependencies of the library
curl-dev
/libcurl
(depending on your OS)nmap
github.com/pkg/errors
gopkg.in/go-playground/validator.v9
github.com/andelf/go-curl
Installing the library
go get github.com/Ullaakut/cameradar
After this command, the cameradar library is ready to use. Its source will be in:
$GOPATH/src/pkg/github.com/Ullaakut/cameradar
You can use go get -u
to update the package.Here is an overview of the exposed functions of this library:
Discovery
You can use the cameradar library for simple discovery purposes if you don't need to access the cameras but just to be aware of their existence.
Attack
If you already know which hosts and ports you want to attack, you can also skip the discovery part and use directly the attack functions. The attack functions also take a timeout value as a parameter.
Data models
Here are the different data models useful to use the exposed functions of the cameradar library.
The cameradar library also provides two functions that take file paths as inputs and return the appropriate data models filled.
Configuration
The RTSP port used for most cameras is 554, so you should probably specify 554 as one of the ports you scan. Not specifying any ports to the cameradar application will scan the 554 and 8554 ports.
docker run -t --net=host ullaakut/cameradar -p "18554,19000-19010" -t localhost
will scan the ports 18554, and the range of ports between 19000 and 19010 on localhost.You can use your own files for the ids and routes dictionaries used to attack the cameras, but the Cameradar repository already gives you a good base that works with most cameras, in the
/dictionaries
folder.docker run -t -v /my/folder/with/dictionaries:/tmp/dictionaries \
ullaakut/cameradar \
-r "/tmp/dictionaries/my_routes" \
-c "/tmp/dictionaries/my_credentials.json" \
-t 172.19.124.0/24
Check camera access
If you have VLC Media Player, you should be able to use the GUI or the command-line to connect to the RTSP stream using this format :
rtsp://username:password@address:port/route
With the above result, the RTSP URL would be
rtsp://admin:12345@173.16.100.45:554/live.sdp
Command line options
- "-t, --target": Set target. Required. Target can be a file (see instructions on how to format the file), an IP, an IP range, a subnetwork, or a combination of those.
- "-p, --ports": (Default:
554,8554
) Set custom ports. - "-s, --speed": (Default:
4
) Set custom nmap discovery presets to improve speed or accuracy. It's recommended to lower it if you are attempting to scan an unstable and slow network, or to increase it if on a very performant and reliable network. See this for more info on the nmap timing templates. - "-T, --timeout": (Default:
2000
) Set custom timeout value in miliseconds after which an attack attempt without an answer should give up. It's recommended to increase it when attempting to scan unstable and slow networks or to decrease it on very performant and reliable networks. - "-r, --custom-routes": (Default:
<CAMERADAR_GOPATH>/dictionaries/routes
) Set custom dictionary path for routes - "-c, --custom-credentials": (Default:
<CAMERADAR_GOPATH>/dictionaries/credentials.json
) Set custom dictionary path for credentials - "-o, --nmap-output": (Default:
/tmp/cameradar_scan.xml
) Set custom nmap output path - "-l, --log": Enable debug logs (nmap requests, curl describe requests, etc.)
- "-h" : Display the usage information
Format input file
The file can contain IPs, hostnames, IP ranges and subnetwork, separated by newlines. Example:
0.0.0.0
localhost
192.17.0.0/16
192.168.1.140-255
192.168.2-3.0-255
Environment Variables
CAMERADAR_TARGET
This variable is mandatory and specifies the target that cameradar should scan and attempt to access RTSP streams on.
Examples:
172.16.100.0/24
192.168.1.1
localhost
192.168.1.140-255
192.168.2-3.0-255
CAMERADAR_PORTS
This variable is optional and allows you to specify the ports on which to run the scans.
Default value:
554,8554
It is recommended not to change these except if you are certain that cameras have been configured to stream RTSP over a different port. 99.9% of cameras are streaming on these ports.
CAMERADAR_NMAP_OUTPUT_FILE
This variable is optional and allows you to specify on which file nmap will write its output.
Default value:
/tmp/cameradar_scan.xml
This can be useful only if you want to read the files yourself, if you don't want it to write in your
/tmp
folder, or if you want to use only the RunNmap function in cameradar, and do its parsing manually.CAMERADAR_CUSTOM_ROUTES
, CAMERADAR_CUSTOM_CREDENTIALS
These variables are optional, allowing to replace the default dictionaries with custom ones, for the dictionary attack.
Default values:
<CAMERADAR_GOPATH>/dictionaries/routes
and <CAMERADAR_GOPATH>/dictionaries/credentials.json
CAMERADAR_SPEED
This optional variable allows you to set custom nmap discovery presets to improve speed or accuracy. It's recommended to lower it if you are attempting to scan an unstable and slow network, or to increase it if on a very performant and reliable network. See this for more info on the nmap timing templates.
Default value:
4
CAMERADAR_TIMEOUT
This optional variable allows you to set custom timeout value in miliseconds after which an attack attempt without an answer should give up. It's recommended to increase it when attempting to scan unstable and slow networks or to decrease it on very performant and reliable networks.
Default value:
2000
CAMERADAR_LOGS
This optional variable allows you to enable a more verbose output to have more information about what is going on.
It will output nmap results, cURL requests, etc.
Default:
false
Contribution
Build
Docker build
To build the docker image, simply run
docker build -t . cameradar
in the root of the project.Your image will be called
cameradar
and NOT ullaakut/cameradar
.Go build
To build the project without docker:
- Install dep
- OSX:
brew install dep
andbrew upgrade dep
- Others: Download the release package for your OS here
- OSX:
dep ensure
go build
to build the librarycd cameradar && go build
to build the binary
See the contribution document to get started.
Frequently Asked Questions
Cameradar does not detect any camera!That means that either your cameras are not streaming in RTSP or that they are not on the target you are scanning. In most cases, CCTV cameras will be on a private subnetwork, isolated from the internet. Use the
-t
option to specify your target.Cameradar detects my cameras, but does not manage to access them at all!Maybe your cameras have been configured and the credentials / URL have been changed. Cameradar only guesses using default constructor values if a custom dictionary is not provided. You can use your own dictionaries in which you just have to add your credentials and RTSP routes. To do that, see how the configuration works. Also, maybe your camera's credentials are not yet known, in which case if you find them it would be very nice to add them to the Cameradar dictionaries to help other people in the future.
What happened to the C++ version?You can still find it under the 1.1.4 tag on this repo, however it was less performant and stable than the current version written in Golang.
How to use the Cameradar library for my own project?See the example in
/cameradar
. You just need to run go get github.com/Ullaakut/cameradar
and to use the cmrdr
package in your code. You can find the documentation on godoc.I want to scan my own localhost for some reason and it does not work! What's going on?Use the
--net=host
flag when launching the cameradar image, or use the binary by running go run cameradar/cameradar.go
or installing itI don't see a colored output :(You forgot the
-t
flag before ullaakut/cameradar
in your command-line. This tells docker to allocate a pseudo-tty for cameradar, which makes it able to use colors.I don't have a camera but I'd like to try Cameradar!Simply run
docker run -p 8554:8554 -e RTSP_USERNAME=admin -e RTSP_PASSWORD=12345 -e RTSP_PORT=8554 ullaakut/rtspatt
and then run cameradar and it should guess that the username is admin and the password is 12345. You can try this with any default constructor credentials (they can be found here)Examples
Running cameradar on your own machine to scan for default ports
docker run --net=host -t ullaakut/cameradar -t localhost
Running cameradar with an input file, logs enabled on port 8554
docker run -v /tmp:/tmp --net=host -t ullaakut/cameradar -t /tmp/test.txt -p 8554 -l