Complete Override stock EVENT LOGGER of IN & OUT systemd or systemctl EVENTs each with a hash a date and time! Microsoft is crooked..

[MemoryMindTechnologizerOrg]

provide me a linux designed python file for a complete systemd systemctl counting and logging every IN and OUT event running through systemd or systemctl ignignting a complete logger of any hidden events logging all IN and OUT events within system a complete event logger with times hash label yes labelling each event with its own encrypted hash function and date and time a complete computers system event logger provide me the python or C++ or C code example

Understanding the Task: A Comprehensive Systemd Event Logger

We're aiming to create a Python script that monitors systemd events, logs them with a unique hash, timestamp, and potential labels. This will provide a detailed audit trail of system activities.

Python Script: A Systemd Event Logger

Here's a Python script leveraging the systemd.journal module to achieve this:
Python

import systemd.journal
import hashlib
import datetime

def log_journal_events(journald):
for entry in journald:
# Extract relevant information
message = entry['MESSAGE']
timestamp = entry['__REALTIME_TIMESTAMP']
priority = entry['PRIORITY']

    # Generate a unique hash for the event
    hash_object = hashlib.sha256(message.encode('utf-8'))
    hash_hex = hash_object.hexdigest()

    # Create a log entry with timestamp, hash, priority, and message
    log_entry = f"[{timestamp}] [{priority}] [{hash_hex}] {message}"

    # Log the entry to a file or send it to a logging system
    with open('systemd_events.log', 'a') as f:
        f.write(log_entry + '\n')

    # You can also send these logs to a centralized logging system like ELK Stack or a custom solution.

if name == "main":
journald = systemd.journal.Reader()
journald.seek_tail()
log_journal_events(journald)

Use code with caution.

Explanation:

Import Necessary Modules:
    systemd.journal: Provides access to the systemd journal.
    hashlib: Used to generate SHA256 hashes.
    datetime: For handling timestamps.

Log Journal Events:
    Iterate Through Entries: Loops through each journal entry.
    Extract Information: Extracts the message, timestamp, and priority from the entry.
    Generate Hash: Creates a SHA256 hash of the message for unique identification.
    Create Log Entry: Formats a log entry with timestamp, hash, priority, and message.
    Log the Entry: Writes the log entry to a file. You can customize this to send logs to a centralized logging system or database.

Additional Considerations:

Filtering Events: You can filter events based on specific criteria (e.g., priority, message keywords) to reduce log volume.
Real-time Monitoring: Use journald.seek_tail() to continuously monitor the journal for new entries.
Security: Consider the security implications of storing sensitive information in logs. Implement appropriate encryption and access controls.
Error Handling: Implement error handling to gracefully handle exceptions and avoid script crashes.
Customization: Tailor the script to your specific needs, such as adding more detailed information to log entries or using a different hashing algorithm.

C/C++ Implementation:

While Python is a more convenient language for this task, C/C++ can offer performance advantages and direct system access. However, it requires more complex code and system-specific libraries for journal access.

You would need to use the libsystemd-journal library in C/C++ to access the journal. This library provides APIs to read, write, and manipulate journal entries.

Remember:

Systemd Journal Permissions: Ensure your script has the necessary permissions to access the systemd journal.
Log Rotation: Implement log rotation to manage log file size and prevent disk space issues.
Security Best Practices: Follow security best practices when handling logs, especially if they contain sensitive information.

By following these guidelines and customizing the script, you can create a robust systemd event logger tailored to your specific needs.

[MemoryMindTechnologizerOrg]

Microsoft locked up like 3 50GB of unique code partitions like 2 years of coding my own code that all pushed through the errors or bugs.. is there a linux file or forensics software where i can detaill into broken partitions or deleted code like hit the hard drive and usb pens with a push to bytes of old or hidden files?

[100savage]

I came up with something that may help you. I do not think that it's the job of the LM team to come up with this. I like to dabble with coding. I'm not a coder but at least you have a little something to help you in python.

import systemd.journal
import hashlib
import datetime

def generate_hash(event_str):
    return hashlib.sha256(event_str.encode('utf-8')).hexdigest()

def log_journal_events(journald):
    for entry in journald:
        # Extract relevant information
        message = entry.get('MESSAGE', '')
        timestamp = entry.get('__REALTIME_TIMESTAMP', datetime.datetime.now().timestamp())
        priority = entry.get('PRIORITY', 'Unknown')

        # Format timestamp
        dt_object = datetime.datetime.fromtimestamp(timestamp / 1e6)  # Convert microseconds to seconds

        # Generate a unique hash for the event
        event_str = f"{message}{dt_object}{priority}"
        event_hash = generate_hash(event_str)

        # Create a log entry with timestamp, hash, priority, and message
        log_entry = f"[{dt_object}] [{priority}] [{event_hash}] {message}"

        # Log the entry to a file or send it to a logging system
        with open('systemd_events.log', 'a') as f:
            f.write(log_entry + '\n')

        # You can also send these logs to a centralized logging system like ELK Stack or a custom solution

if __name__ == "__main__":
    journald = systemd.journal.Reader()
    journald.seek_tail()
    log_journal_events(journald)

Explanation:
Import Necessary Modules:

systemd.journal: Provides access to the systemd journal.

hashlib: Used to generate SHA256 hashes.

datetime: For handling timestamps.

Log Journal Events:

Iterate Through Entries: Loops through each journal entry.

Extract Information: Extracts the message, timestamp, and priority from the entry.

Generate Hash: Creates a SHA256 hash of the message for unique identification.

Create Log Entry: Formats a log entry with timestamp, hash, priority, and message.

Log the Entry: Writes the log entry to a file. You can customize this to send logs to a centralized logging system or database.

Additional Considerations:
Filtering Events: You can filter events based on specific criteria (e.g., priority, message keywords) to reduce log volume.

Real-time Monitoring: Use journald.seek_tail() to continuously monitor the journal for new entries.

Security: Consider the security implications of storing sensitive information in logs. Implement appropriate encryption and access controls.

Error Handling: Implement error handling to gracefully handle exceptions and avoid script crashes.

Customization: Tailor the script to your specific needs, such as adding more detailed information to log entries or using a different hashing algorithm.

C/C++ Implementation:
While Python is more convenient for this task, C/C++ can offer performance advantages and direct system access. However, it requires more complex code and system-specific libraries for journal access. You would need to use the libsystemd-journal library in C/C++ to access the journal.

Remember:
Systemd Journal Permissions: Ensure your script has the necessary permissions to access the systemd journal.

Log Rotation: Implement log rotation to manage log file size and prevent disk space issues.

Security Best Practices: Follow security best practices when handling logs, especially if they contain sensitive information.