mirror of https://github.com/aliasrobotics/cai.git
docs: add PortSwigger case study to maintain 2-column structure
- Add PortSwigger Web Security Academy case study - Position alongside MQTT broker in last row - Maintain consistent 2-column layout throughout - Include case study image in docs/assets/images/
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@ -135,10 +135,10 @@ Cybersecurity AI (CAI) is a lightweight, open-source framework that empowers sec
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| CAI-powered security testing of MiR (Mobile Industrial Robot) platform through automated ROS message injection attacks. This study demonstrates how AI-driven vulnerability discovery can expose unauthorized access to robot control systems and alarm triggers. | CAI-powered API vulnerability discovery at Mercado Libre through automated enumeration attacks. This study demonstrates how AI-driven security testing can expose user data exposure risks in e-commerce platforms at scale. |
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| [](https://aliasrobotics.com/case-study-cai-mir.php) | [](https://aliasrobotics.com/case-study-mercado-libre.php) |
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| [`OT` - CAI and alias0 on: MQTT broker](https://aliasrobotics.com/case-study-cai-mqtt-broker.php) |
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|------------------------------------------------|
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| CAI-powered testing exposed critical flaws in an MQTT broker within a Dockerized OT network. Without authentication, CAI subscribed to temperature and humidity topics and injected false values, corrupting data shown in Grafana dashboards. |
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| [](https://aliasrobotics.com/case-study-cai-mqtt-broker.php) |
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| [`OT` - CAI and alias0 on: MQTT broker](https://aliasrobotics.com/case-study-cai-mqtt-broker.php) | [`IT` (Web) - CAI and alias0 on: PortSwigger Web Security Academy](https://aliasrobotics.com/case-study-portswigger-1.php) |
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|------------------------------------------------|---------------------------------|
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| CAI-powered testing exposed critical flaws in an MQTT broker within a Dockerized OT network. Without authentication, CAI subscribed to temperature and humidity topics and injected false values, corrupting data shown in Grafana dashboards. | CAI-powered race condition exploitation in file upload vulnerability. This study demonstrates how AI-driven security testing can identify and exploit timing windows in web applications, successfully uploading and executing web shells through automated parallel requests. |
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| [](https://aliasrobotics.com/case-study-cai-mqtt-broker.php) | [](https://aliasrobotics.com/case-study-portswigger-1.php) |
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