Smart water
MediumNetwork Security
Overview
Our smart agriculture system was targeted in a cyberattack affecting one specific area. The attacker injected false data, causing the water pump to activate and flood the crops, leading to total crop loss. The system is designed to stabilize soil moisture levels between 30% and 40%, but the falsified data reported moisture levels far below this range, triggering unnecessary irrigation.
The breach was due to compromised login credentials that allowed unauthorized access. We need to identify the start time of the attack (first packet that contained wrong data), the time of the first try to authenticate , the attacker’s IP address, and the specific username and password that were compromised.
Flag Format: Flag{ip|time_of_first_autntication|time_of_first_wrong_data|username:password} timestamp is utc and with this fomrat YYYY-MM-DD-hh-mm-ss
Lab Details
Prerequisites & Requirements
- Understanding of MQTT protocol and IoT communication patterns
- Experience with network traffic analysis
- Basic Python scripting knowledge
- Familiarity with Wireshark for packet inspection
What will you learn?
- How to analyze MQTT protocol traffic
- Techniques to identify suspicious behavior in IoT communication
- Methods for isolating malicious activity in network captures
- How compromised credentials can be identified in MQTT connections
- Using Python with pyshark for automated PCAP analysis
Tools
- Wireshark
- Python with pyshark library
- Regular expressions for data extraction
- Terminal for script execution
Job Positions
Tags
IotMqttPcapWiresharkPacket Analysis