Goblob – A Fast Enumeration Tool For Publicly Exposed Azure Storage Blobs

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Goblob is a lightweight and fast enumeration tool designed to aid in the discovery of sensitive information exposed publicy in Azure blobs, which can be useful for various research purposes such as vulnerability assessments, penetration testing, and reconnaissance.

Warning. Goblob will issue individual goroutines for each container name to check in each storage account, only limited by the maximum number of concurrent goroutines specified in the -goroutines flag. This implementation can exhaust bandwidth pretty quickly in most cases with the default wordlist, or potentially cost you a lot of money if you’re using the tool in a cloud environment. Make sure you understand what you are doing before running the tool.


Installation

go install github.com/Macmod/goblob@latest

Usage

To use goblob simply run the following command:

$ ./goblob <storageaccountname>

Where <storageaccountname> is the target storage account to enumerate public Azure blob storage URLs on.

You can also specify a list of storage account names to check:

$ ./goblob -accounts accounts.txt

By default, the tool will use a list of common Azure Blob Storage container names to construct potential URLs. However, you can also specify a custom list of container names using the -containers option. For example:

$ ./goblob -accounts accounts.txt -containers wordlists/goblob-folder-names.txt

The tool also supports outputting the results to a file using the -output option:

$ ./goblob -accounts accounts.txt -containers wordlists/goblob-folder-names.txt -output results.txt

If you want to provide accounts to test via stdin you can also omit -accounts (or the account name) entirely:

$ cat accounts.txt | ./goblob

Wordlists

Goblob comes bundled with basic wordlists that can be used with the -containers option:

Optional Flags

Goblob provides several flags that can be tuned in order to improve the enumeration process:

  • -goroutines=N – Maximum number of concurrent goroutines to allow (default: 5000).
  • -blobs=true – Report the URL of each blob instead of the URL of the containers (default: false).
  • -verbose=N – Set verbosity level (default: 1, min: 0, max: 3).
  • -maxpages=N – Maximum of container pages to traverse looking for blobs (default: 20, set to -1 to disable limit or to 0 to avoid listing blobs at all and just check if the container is public)
  • -timeout=N – Timeout for HTTP requests (seconds, default: 90)
  • -maxidleconns=NMaxIdleConns transport parameter for HTTP client (default: 100)
  • -maxidleconnsperhost=NMaxIdleConnsPerHost transport parameter for HTTP client (default: 10)
  • -maxconnsperhost=NMaxConnsPerHost transport parameter for HTTP client (default: 0)
  • -skipssl=true – Skip SSL verification (default: false)
  • -invertsearch=true – Enumerate accounts for each container instead of containers for each account (default: false)

For instance, if you just want to find publicly exposed containers using large lists of storage accounts and container names, you should use -maxpages=0 to prevent the goroutines from paginating the results. Then run it again on the set of results you found with -blobs=true and -maxpages=-1 to actually get the URLs of the blobs.

If, on the other hand, you want to test a small list of very popular container names against a large set of storage accounts, you might want to try -invertsearch=true with -maxpages=0, in order to see the public accounts for each container name instead of the container names for each storage account.

You may also want to try changing -goroutines, -timeout and -maxidleconns, -maxidleconnsperhost and -maxconnsperhost and -skipssl in order to best use your bandwidth and find results faster.

Experiment with the flags to find what works best for you 😉

Example

A fast enumeration tool for publicly exposed Azure Storage blobs. (6)

Contributing

Contributions are welcome by opening an issue or by submitting a pull request.

TODO

  • Check blob domain for NXDOMAIN before trying wordlist to save bandwidth (maybe)
  • Improve default parameters for better performance

Wordcloud

An interesting visualization of popular container names found in my experiments with the tool:


If you want to know more about my experiments and the subject in general, take a look at my article:




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