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DockerSpy searches for images on Docker Hub and extracts sensitive information such as authentication secrets, private keys, and more.
Docker is an open-source platform that automates the deployment, scaling, and management of applications using containerization technology. Containers allow developers to package an application and its dependencies into a single, portable unit that can run consistently across various computing environments. Docker simplifies the development and deployment process by ensuring that applications run the same way regardless of where they are deployed.
Docker Hub is a cloud-based repository where developers can store, share, and distribute container images. It serves as the largest library of container images, providing access to both official images created by Docker and community-contributed images. Docker Hub enables developers to easily find, download, and deploy pre-built images, facilitating rapid application development and deployment.
Open Source Intelligence (OSINT) on Docker Hub involves using publicly available information to gather insights and data from container images and repositories hosted on Docker Hub. This is particularly important for identifying exposed secrets for several reasons:
Security Audits: By analyzing Docker images, organizations can uncover exposed secrets such as API keys, authentication tokens, and private keys that might have been inadvertently included. This helps in mitigating potential security risks.
Incident Prevention: Proactively searching for exposed secrets in Docker images can prevent security breaches before they happen, protecting sensitive information and maintaining the integrity of applications.
Compliance: Ensuring that container images do not expose secrets is crucial for meeting regulatory and organizational security standards. OSINT helps verify that no sensitive information is unintentionally disclosed.
Vulnerability Assessment: Identifying exposed secrets as part of regular security assessments allows organizations to address these vulnerabilities promptly, reducing the risk of exploitation by malicious actors.
Enhanced Security Posture: Continuously monitoring Docker Hub for exposed secrets strengthens an organization's overall security posture, making it more resilient against potential threats.
Utilizing OSINT on Docker Hub to find exposed secrets enables organizations to enhance their security measures, prevent data breaches, and ensure the confidentiality of sensitive information within their containerized applications.
DockerSpy obtains information from Docker Hub and uses regular expressions to inspect the content for sensitive information, such as secrets.
To use DockerSpy, follow these steps:
FreshRSS git clone https://github.com/UndeadSec/DockerSpy.git && cd DockerSpy && make
dockerspy
To customize DockerSpy configurations, edit the following files: - Regular Expressions - Ignored File Extensions
DockerSpy is intended for educational and research purposes only. Users are responsible for ensuring that their use of this tool complies with applicable laws and regulations.
Contributions to DockerSpy are welcome! Feel free to submit issues, feature requests, or pull requests to help improve this tool.
DockerSpy is developed and maintained by Alisson Moretto (UndeadSec)
I'm a passionate cyber threat intelligence pro who loves sharing insights and crafting cybersecurity tools.
Consider following me:
Special thanks to @akaclandestine
Porch Pirate started as a tool to quickly uncover Postman secrets, and has slowly begun to evolve into a multi-purpose reconaissance / OSINT framework for Postman. While existing tools are great proof of concepts, they only attempt to identify very specific keywords as "secrets", and in very limited locations, with no consideration to recon beyond secrets. We realized we required capabilities that were "secret-agnostic", and had enough flexibility to capture false-positives that still provided offensive value.
Porch Pirate enumerates and presents sensitive results (global secrets, unique headers, endpoints, query parameters, authorization, etc), from publicly accessible Postman entities, such as:
python3 -m pip install porch-pirateThe Porch Pirate client can be used to nearly fully conduct reviews on public Postman entities in a quick and simple fashion. There are intended workflows and particular keywords to be used that can typically maximize results. These methodologies can be located on our blog: Plundering Postman with Porch Pirate.
Porch Pirate supports the following arguments to be performed on collections, workspaces, or users.
--globals--collections--requests--urls--dump--raw--curlporch-pirate -s "coca-cola.com"By default, Porch Pirate will display globals from all active and inactive environments if they are defined in the workspace. Provide a -w argument with the workspace ID (found by performing a simple search, or automatic search dump) to extract the workspace's globals, along with other information.
porch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8When an interesting result has been found with a simple search, we can provide the workspace ID to the -w argument with the --dump command to begin extracting information from the workspace and its collections.
porch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8 --dumpPorch Pirate can be supplied a simple search term, following the --globals argument. Porch Pirate will dump all relevant workspaces tied to the results discovered in the simple search, but only if there are globals defined. This is particularly useful for quickly identifying potentially interesting workspaces to dig into further.
porch-pirate -s "shopify" --globalsPorch Pirate can be supplied a simple search term, following the --dump argument. Porch Pirate will dump all relevant workspaces and collections tied to the results discovered in the simple search. This is particularly useful for quickly sifting through potentially interesting results.
porch-pirate -s "coca-cola.com" --dumpA particularly useful way to use Porch Pirate is to extract all URLs from a workspace and export them to another tool for fuzzing.
porch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8 --urlsPorch Pirate will recursively extract all URLs from workspaces and their collections related to a simple search term.
porch-pirate -s "coca-cola.com" --urlsporch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8 --collectionsporch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8 --requestsporch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8 --rawporch-pirate -w WORKSPACE_IDporch-pirate -c COLLECTION_IDporch-pirate -r REQUEST_IDporch-pirate -u USERNAME/TEAMNAMEPorch Pirate can build curl requests when provided with a request ID for easier testing.
porch-pirate -r 11055256-b1529390-18d2-4dce-812f-ee4d33bffd38 --curlporch-pirate -s coca-cola.com --proxy 127.0.0.1:8080p = porchpirate()
print(p.search('coca-cola.com'))p = porchpirate()
print(p.collections('4127fdda-08be-4f34-af0e-a8bdc06efaba'))p = porchpirate()
collections = json.loads(p.collections('4127fdda-08be-4f34-af0e-a8bdc06efaba'))
for collection in collections['data']:
requests = collection['requests']
for r in requests:
request_data = p.request(r['id'])
print(request_data)p = porchpirate()
print(p.workspace_globals('4127fdda-08be-4f34-af0e-a8bdc06efaba'))Other library usage examples can be located in the examples directory, which contains the following examples:
dump_workspace.pyformat_search_results.pyformat_workspace_collections.pyformat_workspace_globals.pyget_collection.pyget_collections.pyget_profile.pyget_request.pyget_statistics.pyget_team.pyget_user.pyget_workspace.pyrecursive_globals_from_search.pyrequest_to_curl.pysearch.pysearch_by_page.pyworkspace_collections.py
During the reconnaissance phase, an attacker searches for any information about his target to create a profile that will later help him to identify possible ways to get in an organization.
CloudPulse is a powerful tool that simplifies and enhances the analysis of SSL certificate data. It leverages the extensive repository of SSL certificates obtained from the AWS EC2 machines available at Trickest Cloud. With CloudPulse , security researchers can efficiently explore SSL certificate details, uncover potential vulnerabilities, and gather valuable insights for a variety of security-related tasks.
Simplifies security assessments with a user-friendly interface. It allows you to effortlessly find company's asset's on aws cloud:
1- Download CloudPulse :
git clone https://github.com/yousseflahouifi/CloudPulse
cd CloudPulse/
2- Run docker compose :
docker-compose up -d
3- Run script.py script
docker-compose exec web python script.py
4 - Now go to http://:8000/search and enjoy the search engine
1- download CloudPulse :
git clone https://github.com/yousseflahouifi/CloudPulse
cd CloudPulse/
2- Setup virtual environment :
python3 -m venv myenv
source myenv/bin/activate
3- Install requirements.txt file :
pip install -r requirements.txt
4- run an instance of elasticsearch using docker :
docker run -d --name elasticsearch -p 9200:9200 -e "discovery.type=single-node" elasticsearch:6.6.1
5- update script.py and settings file to the host 'localhost':
#script.py
es = Elasticsearch([{'host': 'localhost', 'port': 9200}])
#se/settings.py
ELASTICSEARCH_DSL = {
'default': {
'hosts': 'localhost:9200'
},
}
6- Run script.py to index data in elasticsearch:
python script.py
7- Run the app:
python manage.py runserver 0:8000
Included in the CloudPulse repository is a sample data.csv file containing close to 4,000 records, which provides a glimpse of the tool's capabilities. For the full dataset, visit the Trickest Cloud repository clone the data and update data.csv file (it contains close to 9 millions data)
as an example searching for .mil data gives:
searching for tesla as en example gives :
CloudPulse heavily depends on the data.csv file, which is a sample dataset extracted from the larger collection maintained by Trickest. While the sample dataset provides valuable insights, the tool's full potential is realized when used in conjunction with the complete dataset, which is accessible in the Trickest repository here.
Users are encouraged to refer to the Trickest dataset for a more comprehensive and up-to-date analysis.
