mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
24f816b6a3
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
dispatch, A51 channels, and the OSINT cluster
- knowledge/ LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
MITRE ATT&CK data
- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.
Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.
https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
66 lines
2.1 KiB
Markdown
66 lines
2.1 KiB
Markdown
---
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name: analyzing-network-flow-data-with-netflow
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description: Parse NetFlow v9 and IPFIX records to detect volumetric anomalies, port scanning, data exfiltration, and C2 beaconing
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patterns. Uses the Python netflow library to decode flow records, builds traffic baselines, and applies statistical analysis
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to identify flows with abnormal byte counts, connection durations, and periodic timing patterns.
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domain: cybersecurity
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subdomain: network-security
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tags:
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- analyzing
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- network
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- flow
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- data
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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nist_csf:
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- PR.IR-01
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- DE.CM-01
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- ID.AM-03
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- PR.DS-02
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---
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# Analyzing Network Flow Data with Netflow
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## When to Use
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- When investigating security incidents that require analyzing network flow data with netflow
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- When building detection rules or threat hunting queries for this domain
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- When SOC analysts need structured procedures for this analysis type
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- When validating security monitoring coverage for related attack techniques
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## Prerequisites
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- Familiarity with network security concepts and tools
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- Access to a test or lab environment for safe execution
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- Python 3.8+ with required dependencies installed
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- Appropriate authorization for any testing activities
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## Instructions
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1. Install dependencies: `pip install netflow`
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2. Collect NetFlow/IPFIX data from routers or use the built-in collector: `python -m netflow.collector -p 9995`
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3. Parse captured flow data using `netflow.parse_packet()`.
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4. Analyze flows for:
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- Port scanning: single source to many destinations on same port
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- Data exfiltration: high byte-count outbound flows to unusual destinations
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- C2 beaconing: periodic connections with consistent intervals
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- Volumetric anomalies: traffic spikes beyond baseline thresholds
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5. Generate a prioritized findings report.
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```bash
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python scripts/agent.py --flow-file captured_flows.json --output netflow_report.json
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```
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## Examples
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### Parse NetFlow v9 Packet
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```python
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import netflow
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data, _ = netflow.parse_packet(raw_bytes, templates={})
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for flow in data.flows:
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print(flow.IPV4_SRC_ADDR, flow.IPV4_DST_ADDR, flow.IN_BYTES)
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```
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