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artillery-pakistan

A small demonstration of gathering information using open sources.

This is a little demonstration of osint detective work and perhaps something fun for people interested in this stuff.

Link to video in case it’s not playing: https://x.com/JaidevJamwal/status/2104801045733929374

List of things you can observe in the video. Feel free to add stuff I missed.

1. Name of officer: Captain Ahmad Mahmood in watermark. He is also doing the cool guy stuff of not looking at explosion at 00:27

2. Corps insignia at 00:18. It is of Pakistani Army’s I Corps with HQ in Mangla.

  1. The video could be flipped horizontally here as the actual insignia has the lightning bolt going from top left to lower right. But it’s not too important for now.
  1. Vehicle in the video is American made M109 155 mm tracked howitzer. PA operates 3 versions M109A2 (200 approx), M109A5 (115 approx) and M109L (125 approx). This one is most likely the A5 version. Check these links for some information: http://www.67auc-bracciano.it/miscellanea/docs/M109-inglese.pdf and https://man.fas.org/dod-101/sys/land/m109.htm
  1. Searching name of the officer brought me to a Facebook post from where this video was downloaded. https://www.facebook.com/pakmilitarythings/videos/-the-dashing-16-%EF%B8%8F/1346096283667836/The caption says, Dashing 16. It means the video is most likely of a firing practice activity of Pakistani Army’s 16th Artillery Regiment (SP).
  2. Another confirmation of the unit ID is at 01:01
  3. Facebook also provides this picture in another post, but hard to say if it’s the same person in both.LESSON:From this short video, the most important takeaway is that Pakistani Army’s 16th Artillery Regiment operates M109 tracked howitzers. The regiments serve in same Corps/Division for 2-3 years before being moved. So the unit may have moved elsewhere by now, but it did serve under I Corps for some time.All of it was inferred using nothing more than regular internet for 8-10 minutes.

This is essentially what all this osint stuff is. Collecting hundreds, if not thousands, of small data points like this and finding links between them to gradually build a larger organisational dataset. The individual finding is not particularly significant. The value comes from doing this repeatedly and connecting the pieces.

Let me know if you found something else.

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