# OSINT and Dorks

## PowerMeta

* Scrape all ppt/doc/xls/etc files and pull metadata from a Website/Domain
* <https://github.com/dafthack/PowerMeta>

```
Powershell > Invoke-PowerMeta sans.org -download -extract
```

## Dorks

* Google Dorks
  * <https://www.exploit-db.com/google-hacking-database>
* Googlediggity & Searchdiggi - tool for Windows to multi-search
  * Combo tools for Google Dorks
* * <https://resources.bishopfox.com/resources/tools/google-hacking-diggity/attack-tools/>
* Dork Scan
  * <https://github.com/1N3/Goohak/>
  * Example: > goohak domain.com

## OSINT

* **LinkedIn** - user may have [resume, or cover-letter posted](https://www.linkedin.com/in/peter-gibbons-08b7931b2/detail/recent-activity/) - or [activity](https://www.linkedin.com/feed/update/urn:li:activity:6696912520952741888/)
* **Instagram** - user may have photo with a Badge posted
* **Twitter** - Found favorite [song, dog name, hometown](https://twitter.com/LycusVarghese) from a CTF
* **Facebook**

## Maltego

* Great tool.. but free version is limited

## Amazon S3 Bucket

* Buckets can be searched. And data is often leaked here
* Put your keyword domains in file 'myDict'
* REF: SANS Holiday Hack 2020

```
> curl https://raw.githubusercontent.com/mattweidner/bucket_finder/master/bucket_finder.rb -o bucket_finder.rb
> bucket_finder --download myDict
package ..found!!
http://s3.amazonaws.com/wrapper3000/package
```

## Azure Blobs

* <https://github.com/cyberark/blobhunter>
* <https://www.cyberark.com/resources/threat-research-blog/hunting-azure-blobs-exposes-millions-of-sensitive-files>

## Image Reverse Search

* REF:[ Images/Exit/Steg](/05-passwords-ciphers/04-images-exif-steg.md#image-reverse-search)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://pentest.mxhx.org/01-prep/01-osint-dorks.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.