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Complete skill folder anatomy across all cybersecurity skills: - scripts/agent.py: 80-150 line Python agents using real libraries (impacket, boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.) - references/api-reference.md: real API documentation with method signatures - LICENSE: MIT license for all skill folders
61 lines
1.7 KiB
Markdown
61 lines
1.7 KiB
Markdown
# API Reference: Detecting Insider Data Exfiltration via DLP
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## Pandas Behavioral Analytics
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```python
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import pandas as pd
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df = pd.read_csv("activity.csv", parse_dates=["timestamp"])
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# Columns: timestamp, user, action, file_path, bytes_transferred, destination
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# Daily volume baseline per user
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daily = df.groupby(["user", df["timestamp"].dt.date])["bytes_transferred"].sum()
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baseline = daily.groupby("user").agg(["mean", "std"])
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# Off-hours detection
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df["hour"] = df["timestamp"].dt.hour
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off_hours = df[(df["hour"] < 6) | (df["hour"] >= 22)]
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# Bulk download detection
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df.set_index("timestamp").groupby("user").resample("1h").size()
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```
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## Exfiltration Indicators
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| Indicator | Threshold | Severity |
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|-----------|-----------|----------|
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| Volume > 3x baseline | Per user daily avg | HIGH |
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| Volume > 5x baseline | Per user daily avg | CRITICAL |
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| Off-hours events | > 10 per user | HIGH |
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| Bulk downloads | > 50 files/hour | CRITICAL |
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| USB transfers | Any volume | HIGH |
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| Sensitive file access | Pattern match | HIGH |
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## Sensitive File Patterns
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```python
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patterns = [
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r"\.pem$", r"\.key$", r"\.env$",
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r"credentials", r"password", r"\.kdbx$",
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r"financial", r"payroll", r"customer.*data"
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]
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```
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## Microsoft Purview DLP API
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```python
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import requests
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headers = {"Authorization": "Bearer <token>"}
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resp = requests.get(
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"https://graph.microsoft.com/v1.0/security/alerts_v2",
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headers=headers,
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params={"$filter": "category eq 'DataLossPrevention'"}
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)
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```
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### References
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- Microsoft Purview DLP: https://learn.microsoft.com/en-us/purview/dlp-learn-about-dlp
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- pandas: https://pandas.pydata.org/docs/
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- UEBA: https://www.gartner.com/en/information-technology/glossary/user-entity-behavior-analytics
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