Demo Screencast

The ComputerVision Integration by using the Deep-learning library yolo-coco and OpenCV is able to recognize objects on photographs, i.e. planes, luggage, people, dogs, cats, etc. The integration can be used in playbooks to extract objects on rasterized websites in phishing campaigns and making IOCs out of them. Additionally, the integration is useful in CCTV systems significantly reducing the number of false - positives and creating custom workflows in XSOAR playbooks for on-prem physical security!


| Name | Description |
|---|---|
| Computer Vision Engine (Community Contribution) | This integration is processing images or movies and detects objects on them by using Machine Learning. |
| Name | Description |
|---|---|
| Computer Vision Engine (Community Contribution) | This integration is processing images or movies and detects objects on them by using Machine Learning. |
| Pack Name | Pack By |
|---|---|
| Base | By: Cortex XSOAR |
| Pack Name | Pack By |
|---|
| Pack Name | Pack By |
|---|---|
| Base | By: Cortex XSOAR |
| Supported By | Community | |
| Created | January 26, 2021 | |
| Last Release | May 12, 2025 |
