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    <title>DEV Community: Bharath V</title>
    <description>The latest articles on DEV Community by Bharath V (@bharathv03).</description>
    <link>https://dev.to/bharathv03</link>
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      <title>DEV Community: Bharath V</title>
      <link>https://dev.to/bharathv03</link>
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    <item>
      <title>A walkthrough to Sofia Santos' OSINT Exercise #002</title>
      <dc:creator>Bharath V</dc:creator>
      <pubDate>Sun, 20 Oct 2024 05:54:43 +0000</pubDate>
      <link>https://dev.to/bharathv03/a-walkthrough-to-sofia-santos-osint-exercise-002-53hc</link>
      <guid>https://dev.to/bharathv03/a-walkthrough-to-sofia-santos-osint-exercise-002-53hc</guid>
      <description>&lt;h2&gt;
  
  
  Introduction
&lt;/h2&gt;

&lt;p&gt;This post is a walkthrough for OSINT Exercise #001 by Sofia Santos. I’ll be sharing my approach, thought process, and the steps I took to solve this exercise. If you’re interested in trying it out for yourself, feel free to visit her website &lt;a href="https://gralhix.com/list-of-osint-exercises/osint-exercise-002/" rel="noopener noreferrer"&gt;here&lt;/a&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  The Challenge
&lt;/h2&gt;

&lt;p&gt;In this exercise, the goal was to find the name of the train station and the tallest building that could be seen from the given image.&lt;/p&gt;

&lt;p&gt;Below is the image used for the challenge:&lt;br&gt;
&lt;a href="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F1p28cwia76dpl4dng35x.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F1p28cwia76dpl4dng35x.png" alt="Image provided as part of the exercise" width="800" height="610"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  Solution
&lt;/h2&gt;

&lt;p&gt;Alright, this exercise was a bit to the easier side, we didn't have to pinpoint or find exact coordinates. The first task was to find the name of the train station and this was relatively straight-forward; we can see 'Flinders Street' written in the image so a quick search on Google Maps does the job. The name of the train station is indeed 'Flinders Street Railway Station' in Melbourne, Australia.&lt;/p&gt;

&lt;p&gt;Now we had to figure out the tallest building that is seen in the picture. Just from a quick glance you can kinda tell it is going to be between the tower like building (the left most one), the IBM building or the dark blue ish building which we can see behind the IBM building.&lt;/p&gt;

&lt;p&gt;So all we need to do is identify the names of the buildings and confirm their heights using Google. Just dropping by the tower on Google Maps, I figured out that it was the 'Arts Centre' building and checking its height on Google, it shows up as 162m. Similarly, checking the IBM Australia building, it shows up as 131m. Now we just need to know the name of the last building to come to our final answer.&lt;/p&gt;

&lt;p&gt;Since I knew that the last building was behind the IBM building, I looked at Google Maps and there was basically only 1 main road behind it, so I just looked for a building that matched the building on the image.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fosq1qgkbmwn3bwaomxsa.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fosq1qgkbmwn3bwaomxsa.png" alt="Image showing the IBM building and the presence of only 1 main road behind it" width="800" height="428"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;I found the building 'Focus Apartments' which looked like the one we were looking for. Then, checking its height, it came up to be 166/167m making it the tallest building we can see in the picture.&lt;/p&gt;

&lt;p&gt;This exercise was pretty easy I'd say, took me around 10 minutes to solve this. Compared to the first one, this was much faster since there was no pinpointing.&lt;/p&gt;

</description>
      <category>osint</category>
      <category>geolocation</category>
      <category>tutorial</category>
      <category>cybersecurity</category>
    </item>
    <item>
      <title>A walkthrough to Sofia Santos' OSINT Exercise #001</title>
      <dc:creator>Bharath V</dc:creator>
      <pubDate>Wed, 09 Oct 2024 14:54:10 +0000</pubDate>
      <link>https://dev.to/bharathv03/a-walkthrough-to-sofia-santos-osint-exercise-001-4aid</link>
      <guid>https://dev.to/bharathv03/a-walkthrough-to-sofia-santos-osint-exercise-001-4aid</guid>
      <description>&lt;h2&gt;
  
  
  Introduction
&lt;/h2&gt;

&lt;p&gt;This post is a walkthrough for OSINT Exercise #001 by Sofia Santos. I’ll be sharing my approach, thought process, and the steps I took to solve this exercise. If you’re interested in trying it out for yourself, feel free to visit her website &lt;a href="https://gralhix.com/list-of-osint-exercises/osint-exercise-001/" rel="noopener noreferrer"&gt;here&lt;/a&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  The Challenge
&lt;/h2&gt;

&lt;p&gt;In this exercise, the goal was to pinpoint the exact location and identify the coordinates based on a single image shared in a tweet. Using OSINT techniques and visual clues from the image, the task was to determine the precise spot where the photo was taken.&lt;/p&gt;

&lt;p&gt;Below is the image used for the challenge:&lt;br&gt;
&lt;a href="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fyy3vhi6tscs34a85pj1n.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fyy3vhi6tscs34a85pj1n.png" alt="This is the image from the challenge." width="583" height="586"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  Solution
&lt;/h2&gt;

&lt;p&gt;As someone who plays GeoGuessr a lot, my immediate reaction when I saw the picture was, &lt;em&gt;“This looks like Senegal“&lt;/em&gt;. Something about the landscape, buildings, and environment felt familiar. But as I looked closer, some elements didn’t quite fit:&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;
&lt;strong&gt;The Poles and Road Markings&lt;/strong&gt;: These didn’t look like the usual ones found in Senegal.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Language in the Tweet&lt;/strong&gt;: The tweet was translated from Arabic, which ruled Senegal out since it’s primarily a French-speaking country.&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;Now, the picture clearly had the city name 'Kiffa' mentioned, so a simple Google search would have led me there quickly. However, since I initially had a 'Senegal vibe', I started to scan bordering countries and eventually found Kiffa in Mauritania relatively quickly.&lt;/p&gt;

&lt;p&gt;This was probably the easy part—you can just Google the city name and get there (and yes, there's only one 'Kiffa' in the world). The real challenge, however, was to pinpoint the exact location shown in the image, which proved to be a bit more difficult.&lt;/p&gt;

&lt;p&gt;Since Mauritania does not have official Street View coverage, I switched from Google Maps to Google Earth to try and pinpoint the location. I spent about 10-15 minutes scanning different parts of the city, trying to match something with the image, but nothing seemed to line up. Then I realised something that made the challenge a lot easier—the distinct lack of infrastructure in the direction we were facing likely meant that we were leaving the city rather than being within it.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Ff52gi5dpv4bqz55zwcp3.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Ff52gi5dpv4bqz55zwcp3.png" alt="This image shows the city extent of Kiffa." width="800" height="444"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;This left me with just a couple of roads that were theoretically possible, making it much easier to scan. As I went through them, I noticed that most of the roads were barren and dry, but one stood out—it had trees growing along the sides. This detail was crucial because we can see trees in our image. With just one road left to check, I used Google Earth’s historical imagery feature and set the year to 2013 (the same year the tweet was posted). From there, I carefully lined up the scene using the buildings and the tree behind the buildings opposite us in the picture.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Coordinates (Roughly) :  [16°36'33.56"N  11°23'52.03"W]&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fr5uh8pw0mjl8ykc1h07g.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fr5uh8pw0mjl8ykc1h07g.png" alt="This image shows the pinned-down exact location." width="800" height="636"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;This challenge is labeled as medium/hard, and I think that’s a fair assessment. You can identify the city relatively quickly, but pinpointing the exact location requires a bit more patience and careful analysis. For me, it took around 25-30 minutes to complete, which I believe is a reasonable time frame for an exercise of this difficulty.&lt;/p&gt;

</description>
      <category>osint</category>
      <category>geolocation</category>
      <category>tutorial</category>
      <category>cybersecurity</category>
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