> For the complete documentation index, see [llms.txt](https://tools.osintnewsletter.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://tools.osintnewsletter.com/osint-tools/your-social-media-fingerprint.md).

# Your social media fingerprint

| **Your social media fingerprint** | **Quick Overview**                                                                                                                                                 |
| --------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| URL                               | <https://robinlinus.github.io/socialmedia-leak/>                                                                                                                   |
| What it does                      | Simulates how social media activity can reveal a user’s digital “fingerprint” through patterns such as browsing behaviour, interactions, and inferred preferences. |
| How to use it                     | Open the web app, follow the interactive demo to see how digital signals are collected/inferred, then review the generated ‘fingerprint’.                          |
| Cost                              | Free.                                                                                                                                                              |
| Account required                  | No.                                                                                                                                                                |
| Cookies                           | A high amount of session tracking, login authentication, advertising/analytics, and user identification cookies.                                                   |
| Ownership                         | Created by Robin Linus and hosted as an open-source GitHub Pages project.                                                                                          |
| Use in Reporting                  | Best used as an illustrative or educational example rather than a forensic evidence tool.                                                                          |

### What does Your social media fingerprint do?

Your Social Media Fingerprint shows how ‘ordinary online behaviour’ can build a surprisingly detailed profile of a user. Even without explicitly sharing personal data, browsing patterns, device signals, and interaction habits can be combined to infer sensitive information.&#x20;

The tool helps users understand:

* How profiling systems work behind the scenes.
* Why anonymity online is difficult to maintain.
* How metadata and behavioural signals contribute to identification.
* Why OPSEC discipline matters in investigations and personal security.

**The lowdown:** It’s particularly useful for illustrating how OSINT investigators can build profiles from seemingly harmless activity.

### How to Use:

**1. Launch the tool on your browser and observe the data being inferred.**

<img src="/files/KhSsIqdL3peFP7DDPWw2" alt="" height="441" width="602">

**2. There’s also a helpful explainer section so you can work out what to do to reduce your fingerprint:**

<img src="/files/goj43HSmQnDPYfmzbJBc" alt="" height="408" width="602">

### Cost

* [x] Free
* [ ] Partially Free
* [ ] Paid

## Data Processing

### Account Required:

* [ ] Yes
* [x] No

### Cookies:&#x20;

The cookies used mainly handle session tracking, login authentication, advertising/analytics, and user identification across platforms like Facebook, Slack, Medium, PayPal, and Disqus, helping maintain logged-in sessions, track usage behaviour, and personalise/measure user activity.

### Use in Reporting

Your Social Media Fingerprint is useful for:&#x20;

* Explaining OPSEC vulnerabilities.
* Demonstrating behavioural profiling techniques.
* Supporting privacy and digital security reporting.
* Educating audiences about metadata exposure.
* Illustrating OSINT inference methods.

It’s particularly effective for showing how seemingly harmless browsing activity contributes to identity inference, tracking, and behavioural profiling in modern digital ecosystems.

| **Capabilities**                                    | **Limitations**                                                   |
| --------------------------------------------------- | ----------------------------------------------------------------- |
| Visualises digital fingerprinting concepts clearly. | Simulated environment - not a real tracking system.               |
| Demonstrates behavioural data inference.            | Does not represent full commercial data broker capabilities.      |
| Raises awareness of OPSEC weaknesses.               | Limited technical depth compared to real-world profiling systems. |
| Useful for training and educational settings.       | Focused on awareness rather than operational OSINT use.           |
| Browser-based and easy to access.                   | <p><br></p>                                                       |

### Summary

Your Social Media Fingerprint is an educational OSINT and OPSEC awareness tool that demonstrates how easily online behaviour can be used to build detailed user profiles. It is most useful in the initial profiling and context-building stage of an OSINT workflow, and it can also support validation and risk assessment later on.

### Ownership

Created by [Robin Linus](https://x.com/robin_linus), A PhD candidate at Stanford and Bitcoin expert.

### Ethical Considerations

* Recognise that real-world fingerprinting systems are more powerful and invasive.
* Use insights to improve personal and organisational OPSEC.
* Ensure ethical use when applying OSINT concepts in investigations.

### Related Tools:

* Am I Unique
* [Cover Your Tracks](/osint-tools/cover-your-tracks.md)
* [Have I Been Pwned?](/osint-tools/have-i-been-pwned.md)

#### Sources

<https://robinlinus.github.io/socialmedia-leak/>&#x20;

<https://robinlinus.com/>&#x20;

<https://x.com/robin_linus>&#x20;