# JSON Crack

| **JSON Crack**   | **Quick Overview**                                                    |
| ---------------- | --------------------------------------------------------------------- |
| URL              | <https://jsoncrack.com/>                                              |
| What it does     | Turns raw JSON data into a visual, interactive graph.                 |
| How to use it    | Paste JSON, generate graph, then explore structure.                   |
| Cost             | Free.                                                                 |
| Account required | No.                                                                   |
| Cookies          | Basic cookies for analytics and site functionality No login required. |
| Ownership        | Aykut Sarach, a software developer based in Istanbul.                 |
| Use in Reporting | Useful for explaining complex datasets and structures visually.       |

### &#x20;What does JSON Crack do?

JSON Crack is a data visualisation tool that converts raw JSON into a clean, interactive graph. Instead of manually reading nested structures, you can explore relationships, hierarchies, and key values visually. It’s especially useful in OSINT when dealing with API responses, exported datasets, or structured data from platforms.

**The lowdown:** A simple but powerful visualisation tool for making sense of JSON data, ideal for analysts working with structured data who need quick clarity.

### How to Use:

**1. Copy and paste your JSON data into the tool in the left hand panel, then let the tool automatically generate a visual graph.**

<figure><img src="/files/hVwUdd0aKwWcRadsutzx" alt=""><figcaption></figcaption></figure>

**2. Explore nodes and connections to understand the data structure.**

### Cost

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

## Data Processing

### Account Required:

* [ ] Yes
* [x] No

### Cookies:&#x20;

Cookies are mainly used for analytics and basic functionality. The \_ga cookies track anonymous user activity to help improve the site, while editor\_c likely stores editor preferences/session state.

### Use in Reporting

In practice, OSINT analysts use JSON Crack to quickly make sense of things like:

* Social media API responses (e.g. user networks, posts, metadata).
* Breached or leaked structured datasets.
* Website scraping outputs (e.g. linked accounts, IDs, timestamps).
* Geolocation or device metadata pulled from structured logs.

A real-world-style example would be an investigation into a data breach dump where user records are exported as nested JSON. Instead of manually reading thousands of lines, JSON Crack can visually map relationships between usernames, emails, IP addresses, and timestamps, making it easier to spot patterns like shared IPs or linked accounts.

Large-scale breaches such as the Facebook (2019) data exposure incident, datasets containing user IDs, phone numbers, and account metadata were structured in ways that tools like JSON Crack could help visualise for faster pattern detection and reporting.

| **Capabilities**                                        | **Limitations**                                          |
| ------------------------------------------------------- | -------------------------------------------------------- |
| Converts JSON into interactive, visual graphs.          | Only works with valid JSON input.                        |
| Makes nested data easy to interpret.                    | Large datasets may impact performance.                   |
| Fast, browser-based use.                                | No direct data collection (visualisation only).          |
| Supports large JSON structures (within browser limits). | Limited export/customisation compared to advanced tools. |

### Summary

JSON Crack sits in the analysis and interpretation stage of the OSINT workflow. It’s best used after data collection to help you understand and visualise structured JSON data, making complex relationships and hierarchies easier to interpret for investigation or reporting.&#x20;

### Ownership

Owned and developed by [Aykut Sarach](https://x.com/aykutsarach), a software developer based in Istanbul, Turkiye.&#x20;

### Ethical Considerations

* Ensure data used is obtained legally and ethically.
* Avoid exposing sensitive or personal data when visualising.
* Be cautious when sharing visualisations containing private information.

### Related Tools:

* JSON Viewer tools
* jq (command-line JSON processor)
* Tableau

#### Sources

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

<https://github.com/AykutSarac/jsoncrack.com>&#x20;

<https://www.thoughtworks.com/en-gb/radar/tools/json-crack>&#x20;

<https://github.com/AykutSarac>&#x20;

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

<https://www.linkedin.com/in/aykutsarac/>&#x20;

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