DataSurgeon (ds) is a versatile tool designed for incident response, penetration testing, and CTF challenges. It allows for the extraction of various types of sensitive information including emails, phone numbers, hashes, credit cards, URLs, IP addresses, MAC addresses, SRV DNS records and a lot more!
Please read the contributing guidelines here
wget -O - https://raw.githubusercontent.com/Drew-Alleman/DataSurgeon/main/install/install.sh | bash
Enter the line below in an elevated powershell window.
IEX (New-Object Net.WebClient).DownloadString("https://raw.githubusercontent.com/Drew-Alleman/DataSurgeon/main/install/install.ps1")
Relaunch your terminal and you will be able to use ds from the command line.
curl --proto '=https' --tlsv1.2 -sSf https://raw.githubusercontent.com/Drew-Alleman/DataSurgeon/main/install/install.sh | sh
Here I use wget to make a request to stackoverflow then I forward the body text to ds . The -F option will list all files found. --clean is used to remove any extra text that might have been returned (such as extra html). Then the result of is sent to uniq which removes any non unique files found. Ig you wanted you can remove the warning message at the top ‘Reading standard input..’ by using -S.
$ wget -qO - https://www.stackoverflow.com | ds -F --clean | uniq
Here I am pulling all mac addresses found in autodeauth’s log file using the -m query. The --hide option will hide the identifer string infront of the results. In this case ‘mac_address: ‘ is hidden from the output. The -T option is used to check the same line multiple times for matches. Normallly when a match is found the tool moves on to the next line rather then checking again.
$ ./ds -m -T --hide -f /var/log/autodeauth/log
2023-02-26 00:28:19 - Sending 500 deauth frames to network: BC:2E:48:E5:DE:FF -- PrivateNetwork
2023-02-26 00:35:22 - Sending 500 deauth frames to network: 90:58:51:1C:C9:E1 -- TestNet
The line below will will read all files in the current directory recursively. The -D option is used to display the filename (-f is required for the filename to display) and -e used to search for emails.
$ find . -type f -exec ds -f {} -CDe \;
To output your results to a CSV file, use the -o option followed by the name of the file you want to save your data to. The -D and -X are supported. The format is: ds -o <FILENAME>.csv (.csv is needed).
$ wget -qO - https://www.stackoverflow.com | ds -o output.csv -C
When no specific query is provided, ds will search through all possible types of data, which is SIGNIFICANTLY slower than using individual queries. The slowest query is --files. Its also slightly faster to use cat to pipe the data to ds.
Below is the elapsed time when processing a 5GB test file generated by ds-test. Each test was ran 3 times and the average time was recorded.
Processor Intel(R) Core(TM) i5-10400F CPU @ 2.90GHz, 2904 Mhz, 6 Core(s), 12 Logical Processor(s)
Ram 12.0 GB (11.9 GB usable)
| Command | Speed |
|---|---|
cat test.txt | ds -t | 00h:02m:04s |
ds -t -f test.txt | 00h:02m:05s |
cat test.txt | ds -t -o output.txt | 00h:02m:06s |
| Command | Speed | Query Count |
|---|---|---|
cat test.txt | ds -t -6 | 00h:00m:12s | 1 |
cat test.txt | ds -t -i -m | 00h:00m:22 | 2 |
cat test.txt | ds -tF6c | 00h:00m:32s | 3 |
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