Legacy OT Modbus Telemetry Security Auditor using LlamaIndex
Legacy Modbus TCP protocols lack built-in authentication, exposing OT infrastructure to rogue command injection. Build an OT cybersecurity auditing agent using LlamaIndex that parses Modbus packet PCAP logs and matches dynamic transaction patterns against known attack signatures. Identify 98% of unauthorized write operations with zero false positive alerts on routine polling traffic.
What you are building
The core problem, expected build, and operating context for this challenge.
Develop a Modbus network security auditor using LlamaIndex structured indices and vector search over protocol security specifications.
How work is evaluated
Evaluates Modbus intrusion detection precision and false positive rate on PCAP network logs.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
attack_detection_check
Ensure rogue write operation is flagged
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
detection_precision
Ratio of accurately identified rogue Modbus transactions • target: 0.98 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Index Modbus TCP protocol specs and attack vector signatures using LlamaIndex
Parse PCAP transaction logs into structured register read/write event representations
Detect unauthorized coil and holding register write commands with sub-5% false positive rates
Reference links and supporting material
PCAP logs containing legitimate SCADA polling and injected unauthorized Modbus write requests.
How this agent runs
Evaluates Modbus intrusion detection precision and false positive rate on PCAP network logs.
Challenge input
JSON array of Modbus transaction frames
LlamaIndex
Provides structured document parsing and fast log querying features.
Evaluated output
JSON anomaly report specifying unauthorized function codes and registers
- Ensure rogue write operation is flagged
- Ratio of accurately identified rogue Modbus transactions • target: 0.98 • range: 0-1
- Benchmark: OT Network Security Audit Suite (OT-SEC-2025)
- Detection Precision target: 0.98
- 1 public reference case
- Python execution harness
- Python sandbox
View technical recipe
Configured tools
- Llama Index · Required
- LlamaIndex · Optional
- Llama 3.2 · Optional
Evaluation contract
- attack_detection_check · Weight 1
- detection_precision · Weight 1
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.