MicroBurst
A toolkit for enumerating and exploiting vulnerabilities in Azure cloud environments.
Category | Penetration Testing Tools |
---|---|
Community Stars | 2078 |
Last Commit | last week |
Last page update | 19 days ago |
Pricing Details | Free and open-source. |
Target Audience | Ethical hackers, Azure administrators, security professionals. |
The MicroBurst toolkit supports enumerating and exploiting vulnerabilities in Azure cloud environments. This toolset is designed for ethical hackers, Azure administrators, and security professionals to simulate real-world attacks and identify potential security gaps.
Technically, MicroBurst leverages PowerShell modules to perform various reconnaissance and exploitation tasks. It includes scripts for enumerating Azure services, such as subdomain brute forcing to identify existing Azure services subdomains, which can reveal potential targets for further exploitation.
The architecture of MicroBurst emphasizes modular design, allowing users to import specific modules based on their needs. For example, the Invoke-EnumerateAzureSubDomains
module can be used to find DNS records for permutations of a base word, helping in the discovery of Azure services associated with a particular organization.
Operational considerations include the need for careful authentication and authorization. Users must authenticate to the Az PowerShell module using Connect-AzAccount
before running MicroBurst scripts. Additionally, the tool requires appropriate permissions, such as Reader or Contributor roles, to gather and manipulate data within Azure environments.
Key technical details include the use of DNS brute forcing, which can be resource-intensive and may require adjustments to avoid hitting rate limits. The toolkit also includes functions like Get-AzBatchAccountData
to automate the collection of configuration items from Azure Batch accounts, which can help in identifying misconfigurations and sensitive data exposure.
However, there are limitations to consider. The tool's effectiveness can be hampered by Azure's security measures, such as multi-factor authentication (MFA), which can complicate password spraying attacks. Additionally, the tool's performance and accuracy depend on the quality of the input data and the permissions available to the user running the scripts.