Update cyberphore csv with new columns and ids

CSV_MODIFICATION_INSTRUCTIONS.md

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+# CSV Modification Instructions
+
+## Overview
+This script modifies the `CYBERPHORE_1000_FULL_CONTENT.csv` file with the following changes:
+
+### 1. Adds Mandatory Columns:
+- **Permissions**: ALL_USERS
+- **Status**: Published
+- **Locale**: en
+- **Author ID**: 9254000000000450
+
+### 2. Replaces Category Names with Category IDs:
+| Category Name | Category ID |
+|--------------|-------------|
+| Network Security | 9254000000172234 |
+| Cloud Security | 9254000000172516 |
+| Data Protection | 9254000000172544 |
+| Application Security | 9254000000172572 |
+| Security Testing | 9254000000172600 |
+| Endpoint Security | 9254000000172628 |
+| Threat Intelligence | 9254000000172656 |
+| Identity & Access | 9254000000172684 |
+| Security Operations | 9254000000172712 |
+| Compliance & Governance | 9254000000172740 |
+| Emerging Technologies | 9254000000172768 |
+| Training & Awareness | 9254000000172796 |
+| Communication Security | 9254000000172824 |
+| Industry Security | 9254000000172852 |
+
+## Usage
+
+### Step 1: Place your CSV file
+Make sure `CYBERPHORE_1000_FULL_CONTENT.csv` is in the workspace directory.
+
+### Step 2: Run the script
+```bash
+python3 modify_csv.py
+```
+
+This will create a modified file named `CYBERPHORE_1000_FULL_CONTENT_modified.csv`.
+
+### Step 3: Replace the original (optional)
+If you want to replace the original file:
+```bash
+python3 modify_csv.py CYBERPHORE_1000_FULL_CONTENT.csv CYBERPHORE_1000_FULL_CONTENT.csv
+```
+
+Or manually:
+```bash
+mv CYBERPHORE_1000_FULL_CONTENT_modified.csv CYBERPHORE_1000_FULL_CONTENT.csv
+```
+
+## Custom Usage
+You can also specify input and output files:
+```bash
+python3 modify_csv.py input_file.csv output_file.csv
+```
+
+## What the Script Does
+1. Reads the existing CSV file
+2. Adds the four mandatory columns (Permissions, Status, Locale, Author ID)
+3. Renames "Category" column to "Category ID"
+4. Maps category names to their corresponding IDs
+5. Writes the modified data to the output file
+
+## Note
+- The script preserves all existing columns and data
+- If a category name doesn't match the mapping, it keeps the original value
+- The script handles UTF-8 encoding for international characters