Malware on IoT Dataset
One of the main goals of our Aposemat project is to obtain and use real IoT malware to infect the devices in order to create up to date datasets for research purposes. The datasets will be available to the public and published regularly in the Malware on IoT Dataset page.
We analyze these datasets in a regular basis. Check our blog to make sure you don’t miss our analysis write ups.
Malware datasets
Posible Mirai: CTU-IoT-Malware-Capture-34-1
Posible Mirai: CTU-IoT-Malware-Capture-34-2
Posible XBash: CTU-IoT-Malware-Capture-41-1
Possible Mirai: CTU-IoT-Malware-Capture-49-1
Posible Mirai: CTU-IoT-Malware-Capture-52-1
Honeypots datasets
Edimax IC-7113W CTU-Honeypot-Capture-2-154
Edimax IC-7113W CTU-Honeypot-Capture-2-155
Malware Datasets
| Dataset ID | MD5 | Infection Date | Device | Duration | Size | Label |
|---|---|---|---|---|---|---|
| CTU-IoT-Malware-Capture-34-1 | 82062b666f09fc5c0fe4f68d1ea90916 | 2018/12/21 | Raspberry | 1 day | 121M | Mirai |
| CTU-IoT-Malware-Capture-34-2 | 82062b666f09fc5c0fe4f68d1ea90916 | 2018/12/21 | Raspberry | 1 day | 755M | Mirai |
| CTU-IoT-Malware-Capture-41-1 | 2103af76b361efbebca8bb59f94ee4b3 | 2019/01/09 | Raspberry | 1 day | 85M | CoinMiner |
| CTU-IoT-Malware-Capture-46-1 | 2019/01/09 | Raspberry | 6 hours | 880 KB | MoneyZ IRC Dropper | |
| CTU-IoT-Malware-Capture-49-1 | fb6e0196e38ff28a7325518eb7a7c412 | 2019/02/28 | Raspberry | 8 hours | 1.3G | Mirai |
| CTU-IoT-Malware-Capture-51-1 | 458d8b43af0ed2a64a3e2b021fcccb54 | 2019/03/08 | Raspberry | 1 day | 6.8M | Trojan |