.gitignore

@@ -1,3 +0,0 @@
-start.sh
-config.toml
-__pycache__

LICENSE

@@ -208,8 +208,8 @@ If you develop a new program, and you want it to be of the greatest possible use
 
 To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively state the exclusion of warranty; and each file should have at least the “copyright” line and a pointer to where the full notice is found.
 
-     RADAR
+     anti-abuse
-     Copyright (C) 2025  Lisa_Stuff
+     Copyright (C) 2025  Novel
 
      This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
 
@@ -221,7 +221,7 @@ Also add information on how to contact you by electronic and paper mail.
 
 If the program does terminal interaction, make it output a short notice like this when it starts in an interactive mode:
 
-     RADAR  Copyright (C) 2025  Lisa_Stuff
+     anti-abuse  Copyright (C) 2025  Novel
      This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
      This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details.
 

README.md

@@ -1,50 +1,3 @@
-![Novel](/Frame_12x.webp)
+# anti-abuse
 
-# Novel, Anti-Abuse
+Anti-Abuse is an ✨ FREE, Open-Sourced radar based on YARA rules built for pterodactyl, pelican nodes and docker containers.
-
-Introducing Anti-Abuse by Novel.
-
-Anti-Abuse is an ✨ FREE, Open-Sourced radar based on yara rules built for pterodactyl, pelican nodes and docker containers.
-
-## Features
-1. Watchdog based real-time monitoring.
-2. Easily customizable by [Yara Rule](https://yara.readthedocs.io/en/stable/writingrules.html).
-3. Various Integrations(discord webhook, etc).
-4. Easy re-check action through AI-Based Analysis.
-
-## Installation
-
-Requirements: python, keyboard, brain
-
-1. Install requirements
-```bash
-pip install watchdog tomllib yara 
-```
-
-2. Configure your config.toml and yara rules
-Thirdly run configure config.toml, upload your YARA (.yar and .yara) signatures in /signatures and then finally run RADAR!
-
-```python
-python3 main.py
-```
-
-Done! You're now running Anti-Abuse.
-
-# Tips
-
-Tip 1: You don't know how to write YARA rules?
-> Check out [aweasome-yara](https://github.com/InQuest/awesome-yara), this repository contains list of YARA rules collections which you can use. Didn't found what you were looking for? Try creating own YARA rules, take a look at [YARA documentation](https://yara.readthedocs.io/en/latest/index.html)
-
-Tip 2: We recommend using https://console.groq.com instead of self hosted OLLAMA for better performance!
-> We will also underline that https://console.groq.com offers very nice and kind Free Tier which should be enough for small or medium size deployments of Novel
-
-# Reporting security issue or vulnerability 
-
-Please contact us on email:
-
-|Maintainer|Contact|
-|----|---|
-|Lisa|lisahonkay@gmail.com, `@_lisa_ns_` on discord|
-|Lin|contact@who.ad, `@inxtagram` on discord|
-
-Made with ❤️ by inxtagram and `_lisa_ns_`, licensed under [GNU GENERAL PUBLIC LICENSE, Version 3](http://lhhomeserver.ddns.net:3000/Lisa_Stuff/RADAR/src/branch/main/LICENSE)

TODO.md

@@ -1,12 +0,0 @@
-TODO:
-
-1. Scan jar files (decompile to scan, ref: https://github.com/abdihaikal/pyjadx)
-2. Integration with pterodactyl (ref. py-dactyl or https://dashflo.net/docs/api/pterodactyl/v1/)
-3. Integration with pelican (ref? https://pelican.dev/)
-4. Integration with docker
-6. Multi threading support (for scans)
-9. Ability to add ignore path or ignore file (multiple support too!)
-
-~~7. Multiple pathes support. Example: watchdog_path = ["./path/one","/root/test/","./etc"]~~
-~~5. Several AI Models support, if one fails to respond another model from the list will be used. Example: models = ["model1","model2","model3","etc"]~~
-~~8. Includes ability to add ignore path in integrations or use path in integration , of course with multiple pathes support too~~

aaaastart.sh

@@ -1 +0,0 @@
-ss

config.toml

@@ -1,63 +0,0 @@
-
-ver = "250325d"
-machineID = "node1"
-
-#*************************************************#
-#                                                 #
-#                    LANGUAGES                    #
-#                                                 #
-#*************************************************#
-
-[LANGUGAE.english]
-
-novelStarted = "Novel(Anti Abuse) Started within - {}s."
-
-
-#**************************************************#
-#                                                  #
-#                       LOGS                       #
-#                                                  #
-#**************************************************#
-
-[LOGS]
-
-processStartMsg    = true
-
-#**************************************************#
-#                                                  #
-#                   DETECTION                      #
-#                                                  #
-#**************************************************#
-
-[DETECTION]
-
-watchdogPath = "./"
-SignaturePath = "./signatures"
-
-watchdogIgnorePath = ["./signatures"]
-watchdogIgnoreFile = ["./main.py", "./config.toml", "es/common.yara"]
-
-#**************************************************#
-#                                                  #
-#                  INTEGRATION                     #
-#                                                  #
-#**************************************************#
-
-[INTEGRATION.AI]
-
-enabled = true
-generate_models = ["llama-3.2-90b-vision-preview","llama-3.3-70b-versatile","llama-3.3-70b-specdec","llama-3.2-11b-vision-preview","llama3-70b-8192","llama-3.1-8b-instant","llama3-8b-8192","llama-3.2-3b-preview","llama-3.2-1b-preview"] # for home usage gemma3:1b recommended, for Groq llama-3.1-8b-instant
-generate_endpoint = "http://IP:PORT/api/generate" # Can be empty if using groq
-use_groq = true
-groq_api_token = "" # Get one at https://console.groq.com/keys
-# Example API key
-
-
-prompt = "Analyze the given code and return an abuse score (0-10) with a brief reason. Example abuses: Crypto Mining, Shell Access, Nezha Proxy (VPN/Proxy usage), Disk Filling, Tor, DDoS, Abusive Resource Usage. Response format: '**5/10** <your reason>'. No extra messages."
-
-[INTEGRATION.DISCORD]
-
-enabled = true
-webhook_url = ""
-# Example webhook
-truncate_text = true # Used only if AI INTEGRATION is enabled, trunclates text if true to maxium allowed characters or when false splits in few webhook messages.

main.py

@@ -1,44 +0,0 @@
-#region Imports
-import time, os, tomllib
-
-from utils.Logger import Log
-from utils.WatchdogHandler import DirWatcher
-#endregion 
-
-#region Initialize
-t = time.time()
-with open("config.toml", "rb") as f:
-    data = tomllib.load(f)
-
-Log.v(str(data))
-path = data['DETECTION']['watchdogPath']
-
-
-Log.v("""
-                              
-            o    o                      8 
-            8b   8                      8 
-            8`b  8 .oPYo. o    o .oPYo. 8 
-            8 `b 8 8    8 Y.  .P 8oooo8 8 
-            8  `b8 8    8 `b..d' 8.     8 
-            8   `8 `YooP'  `YP'  `Yooo' 8 
-            ..:::..:.....:::...:::.....:..
-            ::::::::::::::::::::::::::::::
-
-    Product - ANTI-ABUSE
-    Release - {}
-    License - GNU GENERAL PUBLIC LICENSE, Version 3
-      
-""".format(data['ver']))
-#endregion
-
-if __name__ == "__main__":
-    with DirWatcher(path, interval=1) as watcher:
-        watcher.run()
-
-    Log.s(data['LANGUGAE']['english']['novelStarted'].format(str(round(time.time() - t, 1))))
-    try:
-        while True:
-            time.sleep(1)
-    except KeyboardInterrupt:
-        exit()

signatures/common.yara

@@ -1,56 +0,0 @@
-rule CHINESE_NEZHA_ARGO {
-    strings:
-        $a1 = "TkVaSEE=" // Base64 for "NEZHA"
-        $a2 = "tunnel.json"
-        $a3 = "vless"
-        $a4 = "dmxlc3M=" // Base64 for "vless"
-        $a5 = "/vmess"
-        $a6 = "L3ZtZXNz" // Base64 for "/vmess"
-        $a7 = "V0FSUA==" // Base64 for "WARP"
-        $a8 = "/eooce/"
-        $a9 = "ARGO_AUTH"
-        $a10 = "--edge-ip-version"
-        $a11 = "LS1lZGdlLWlwLXZlcnNpb24=" // Base64 for "--edge-ip-version"
-        $a12 = "sub.txt"
-        $a13 = "Server\x20is\x20running\x20on\x20port\x20"
-        $a14 = "nysteria2"
-        $a15 = "openssl req"
-    condition:
-        2 of ($a*)
-}
-
-rule OBFUSCATED_CODE {
-    meta:
-        description = "Detects an obfuscated script"
-    strings:
-        $f1 = "0x" nocase
-        $f2 = "x20" nocase
-        $f3 = "x0a" nocase
-    condition:
-        2 of ($f1, $f2, $f3)
-}
-
-rule OVERLOAD_CRYPTO_MINER {
-    meta:
-        ref = "https://gist.github.com/GelosSnake/c2d4d6ef6f93ccb7d3afb5b1e26c7b4e"
-    strings:
-        $a1 = "stratum+tcp"
-        $a2 = "xmrig"
-        $a3 = "crypto"
-        
-    condition:
-        any of them
-}
-
-rule REVERSE_SHELL {
-    strings: 
-        $a1 = "0>&1"
-        $a2 = "sh"
-        $a3 = "-i"
-        $a4 = "0<&196"
-        $a5 = "<>/dev/tcp"
-        $a6 = "socket.socket"
-
-    condition:
-        2 of them
-}

utils/Logger.py

@@ -1,18 +0,0 @@
-from pystyle import Colors, Colorate
-from datetime import datetime
-import time
-
-
-class Log:
-    @staticmethod
-    def s(text):  # success
-        time_now = datetime.fromtimestamp(time.time()).strftime('%H:%M')
-        print(Colors.gray + time_now + " " + Colorate.Horizontal(Colors.green_to_cyan, "SUCCESS", 1) + Colors.gray + " > " + Colors.light_gray + text + Colors.reset)
-    @staticmethod
-    def e(text):  # error
-        time_now = datetime.fromtimestamp(time.time()).strftime('%H:%M')
-        print(Colors.gray + time_now + " " + Colorate.Horizontal(Colors.red_to_purple, " ERROR ", 1) + Colors.gray + " > " + Colors.light_gray + text + Colors.reset)
-    @staticmethod
-    def v(data):  # verbose
-        time_now = datetime.fromtimestamp(time.time()).strftime('%H:%M')
-        print(Colors.gray + time_now + " " + Colorate.Horizontal(Colors.blue_to_white, "VERBOSE", 1) + Colors.gray + " > " + Colors.light_gray + data + Colors.reset)

utils/Scanner.py

@@ -1,44 +0,0 @@
-#region Imports
-import os, yara, tomllib
-from utils.Logger import Log
-#endregion
-
-#region Variables
-scanned_files_map = set()
-ignored_files = {}
-ignored_directories = {}
-
-with open("./config.toml", "rb") as f:
-    data = tomllib.load(f)
-#endregion
-
-#region scanfile
-
-def scan(src):
-    """
-    Scan a file with YARA rules and return the matches.
-
-    Args:
-     file_path (str): The path to the file to be scanned.
-
-    Returns:
-     matches[filename], error_message
-    """
-    matches = {}
-    error_messages = {}
-
-    for filename in os.listdir(data['DETECTION']['SignaturePath']):
-        if filename.endswith(".yara") or filename.endswith(".yar"): # both are yara extensions ok
-            rule_path = os.path.join(data['DETECTION']['SignaturePath'], filename)
-            try:
-                rules = yara.compile(filepath=rule_path)
-                file_matches = rules.match(data=src)
-                if file_matches:
-                    matches[filename] = file_matches
-                    #for match in file_matches:
-                    #     Log.v(f"  - Rule: {match.rule}")
-            except yara.Error as e:
-                Log.e(e)
-                error_messages[filename] = e
-    return matches, error_messages
-#endregion

utils/WatchdogHandler.py

@@ -1,198 +0,0 @@
-"""
-CREDIT
-
-Context manager for basic directory watching.
-   - <https://github.com/gorakhargosh/watchdog/issues/346>.
-"""
-
-from datetime import datetime, timedelta
-from pathlib import Path
-from time import sleep
-import threading
-import time
-from typing import Callable, Self
-from utils.Logger import Log
-import tomllib
-
-from watchdog.events import FileSystemEvent, FileSystemEventHandler
-from watchdog.observers import Observer
-
-from utils.Scanner import scan
-from utils.integration.Discord import webhook
-from utils.integration.AI import ai_analyse
-
-t = time.time()
-
-with open("config.toml", "rb") as f:
-    data = tomllib.load(f)
-
-paths = data['DETECTION']['watchdogPath']
-if not isinstance(paths, list):
-    paths = [paths]
-
-ignore_paths = data['DETECTION'].get('watchdogIgnorePath', [])
-ignore_files = data['DETECTION'].get('watchdogIgnoreFile', [])
-
-
-def s(input_dict):
-    return [
-        {"name": key, "value": '\n'.join(' - ' + str(item) for item in items)}
-        for key, items in input_dict.items()
-    ]
-
-
-def c(d):
-    count = 0
-    for key in d:
-        if isinstance(d[key], list):
-            count += len(d[key])
-    return count
-
-
-def analysis(event_path: str, file_content: str, flag_type: str):
-    """
-    Process file events in a separate thread.
-    This function scans the file content, and if flagged,
-    performs AI analysis and sends a webhook notification.
-    """
-    results = scan(file_content)
-    if results[0]:
-        Log.s(f"Flagged {event_path}")
-        analysis = ai_analyse(file_content)
-        msg = f"Total Flagged Pattern: {str(c(results[0]))}\n\n{analysis}"
-        webhook(event_path, s(results[0]), msg)
-
-
-class DirWatcher:
-    """Run a function when a directory changes."""
-
-    min_cooldown = 0.1
-
-    def __init__(
-        self,
-        watch_dir: Path,
-        interval: float = 0.2,
-        cooldown: float = 0.1,
-    ):
-        if interval < self.min_cooldown:
-            raise ValueError(
-                f"Interval of {interval} seconds is less than the minimum cooldown of "
-                f"{self.min_cooldown} seconds."
-            )
-        if cooldown < self.min_cooldown:
-            raise ValueError(
-                f"Cooldown of {cooldown} seconds is less than the minimum cooldown of "
-                f"{self.min_cooldown} seconds."
-            )
-        self.watch_dir = watch_dir
-        self.interval = interval
-        self.cooldown = cooldown
-
-    def __enter__(self) -> Self:
-        self.observer = Observer()
-        self.observer.schedule(
-            ModifiedFileHandler(scan, self.cooldown), self.watch_dir, recursive=True
-        )
-
-        Log.s(data['LANGUGAE']['english']['novelStarted'].format(str(round(time.time() - t, 5))))
-        self.observer.start()
-        return self
-
-    def __exit__(self, exc_type: Exception | None, *_) -> bool:
-        if exc_type and exc_type is KeyboardInterrupt:
-            self.observer.stop()
-            handled_exception = True
-        elif exc_type:
-            handled_exception = False
-        else:
-            handled_exception = True
-        self.observer.join()
-        return handled_exception
-
-    def run(self):
-        """Check for changes on an interval."""
-        try:
-            while True:
-                sleep(self.interval)
-        except KeyboardInterrupt:
-            self.observer.stop()
-            exit()
-        exit()
-
-
-class ModifiedFileHandler(FileSystemEventHandler):
-    """Handle modified files using threading for processing."""
-
-    def __init__(self, func: Callable[[FileSystemEvent], None], cooldown: float):
-        self.cooldown = timedelta(seconds=cooldown)
-        self.triggered_time = datetime.min
-
-    def ignore_event(self, event: FileSystemEvent) -> bool:
-        for ignore_path in ignore_paths:
-            if event.src_path.startswith(ignore_path):
-                return True
-        for ignore_file in ignore_files:
-            if event.src_path.endswith(ignore_file):
-                return True
-        if event.src_path == ".":
-            return True
-        return False
-
-    def on_any_event(self, event: FileSystemEvent):
-        if self.ignore_event(event):
-            return True
-
-    def on_modified(self, event: FileSystemEvent):
-        if self.ignore_event(event):
-            return
-        if (datetime.now() - self.triggered_time) > self.cooldown:
-            try:
-                with open(event.src_path, "r") as f:
-                    src = f.read()
-                Log.v(f"FILE MODF | {event.src_path}")
-                # Process in a separate thread
-                threading.Thread(target=analysis, args=(event.src_path, src, "modification")).start()
-                self.triggered_time = datetime.now()
-            except Exception:
-                pass
-
-    def on_moved(self, event: FileSystemEvent):
-        if self.ignore_event(event):
-            return
-        if (datetime.now() - self.triggered_time) > self.cooldown:
-            try:
-                Log.v(f"FILE MOV | {event.src_path} > {event.dest_path}")
-                # For moved events, you might choose to scan the original or destination file.
-                # Here, we'll scan the source path.
-                with open(event.src_path, "r") as f:
-                    src = f.read()
-                threading.Thread(target=analysis, args=(event.src_path, src, "moved")).start()
-                self.triggered_time = datetime.now()
-            except Exception:
-                pass
-
-    def on_deleted(self, event: FileSystemEvent):
-        if self.ignore_event(event):
-            return
-        if (datetime.now() - self.triggered_time) > self.cooldown:
-            try:
-                Log.v(f"FILE DEL | {event.src_path}")
-                self.triggered_time = datetime.now()
-            except Exception:
-                pass
-
-    def on_created(self, event: FileSystemEvent):
-        if self.ignore_event(event):
-            return
-        if (datetime.now() - self.triggered_time) > self.cooldown:
-            try:
-                if event.is_directory:
-                    return
-                else:
-                    Log.v(f"file created: {event.src_path}")
-                    with open(event.src_path, "r") as f:
-                        content = f.read()
-                    threading.Thread(target=analysis, args=(event.src_path, content, "creation")).start()
-                    self.triggered_time = datetime.now()
-            except Exception:
-                pass

utils/integration/AI.py

@@ -1,93 +0,0 @@
-#region Imports
-import tomllib
-import requests
-from utils.Logger import Log
-#endregion
-
-#region Variables
-# Load configuration from the config.toml file
-with open("./config.toml", "rb") as f:
-    data = tomllib.load(f)
-
-enabled = data["INTEGRATION"]["AI"]["enabled"]
-generate_endpoint = data["INTEGRATION"]["AI"]["generate_endpoint"]
-model_list = data["INTEGRATION"]["AI"]["generate_models"]  
-use_groq = data["INTEGRATION"]["AI"]["use_groq"]
-groq_api = data["INTEGRATION"]["AI"]["groq_api_token"]
-prompt = data["INTEGRATION"]["AI"]["prompt"]
-
-# If Groq is enabled, update the generate endpoint
-if use_groq:
-    generate_endpoint = "https://api.groq.com/openai/v1/chat/completions"
-#endregion
-
-def generate_response(data):
-    """Generate a response using the Groq or OLLAMA API."""
-    error_messages = []
-    for generate_model in model_list:  
-        try:
-            headers = {
-                "Content-Type": "application/json",
-            }
-
-            # Add authorization header if using Groq
-            if use_groq:
-                headers["Authorization"] = f"Bearer {groq_api}"
-
-            # Create payload
-            payload = {
-                "model": generate_model,
-                "temperature": 1,
-                "max_completion_tokens": 1024,
-                "top_p": 1,
-                "stream": False,  
-                "stop": None,
-            }
-
-            # Conditional message structure for Groq
-            if use_groq:
-                payload["messages"] = [
-                    {
-                        "role": "system",
-                        "content": f"{prompt}"
-                    },
-                    {
-                        "role": "user",
-                        "content": f"```code\n{data}\n```"
-                    }
-                ]
-            else:
-                payload["prompt"] = f"Using this data: {data}. Respond to this prompt: {prompt}\n"
-
-            response = requests.post(generate_endpoint, json=payload, headers=headers)
-            response.raise_for_status() 
-            if use_groq:
-                return response.json()["choices"][0]["message"]["content"] + f"\n\n> AI Model: {generate_model}"
-            else:
-                return response.json()
-
-        except requests.exceptions.RequestException as e:
-            Log.e(f"Failed to generate response: {e}")
-            Log.e(f"Using model: {generate_model}")
-            error_messages.append(f"Model {generate_model} failed: {e}")
-            return None
-    return f"All models failed to generate response. Errors: {error_messages}"
-
-
-def ai_analyse(src):
-    """Analyze a file and generate a response based on the user's input."""
-    if enabled:
-        try:
-
-            # Generate response using the file data
-            response = generate_response(src)
-            if response:
-                #Log.s(f"Generated Response: {response}")
-                return response
-            else:
-                return "No AI Description provided for this action; check config.toml maybe?"
-        except Exception as e:
-            Log.e(f"Unexpected error: {e}")
-    else:
-        return "No AI Description provided for this action; check config.toml maybe?"
-    return None

utils/integration/Discord.py

@@ -1,102 +0,0 @@
-import tomllib, requests
-from utils.Logger import Log
-
-def load_config(file_path):
-    """Load configuration from a TOML file."""
-    try:
-        with open(file_path, "rb") as f:
-            data = tomllib.load(f)
-            return data
-    except FileNotFoundError:
-        Log.e(f"Config file {file_path} not found.")
-        return None
-    except tomllib.TOMLDecodeError as e:
-        Log.e(f"Failed to parse TOML file: {e}")
-        return None
-
-def truncate_text(text, limit):
-    """Truncate text to the specified character limit with an ellipsis."""
-    if len(text) > limit:
-        return text[:limit - 3] + "..."  # Truncate and add ellipsis
-    return text
-
-def split_text(text, limit):
-    """Split text into chunks of a specified character limit."""
-    return [text[i:i + limit] for i in range(0, len(text), limit)]
-
-def load_config_values(data):
-    """Extract relevant values from the loaded configuration."""
-    try:
-        enabled = data["INTEGRATION"]["DISCORD"]["enabled"]
-        discord_webhook_url = data["INTEGRATION"]["DISCORD"]["webhook_url"]
-        ai_integration = data["INTEGRATION"]["AI"]["enabled"]
-        truncate_text_flag = data["INTEGRATION"]["DISCORD"].get("truncate_text", True)
-        return enabled, discord_webhook_url, ai_integration, truncate_text_flag
-    except KeyError as e:
-        Log.e(f"Missing key in config: {e}")
-        return None, None, None, True
-
-def webhook(file_path, yara_matches, ai=""):
-    """Send a webhook to Discord with the given parameters."""
-    config_file_path = "./config.toml"
-    config_data = load_config(config_file_path)
-    if config_data is None:
-        Log.e("Failed to load configuration.")
-        return
-
-    enabled, discord_webhook_url, ai_integration, truncate_text_flag = load_config_values(config_data)
-    if enabled:
-        description = ai #if ai_integration and ai else "No Description Provided for this action."
-
-        # Handle truncation or splitting based on config
-        if truncate_text_flag:
-            description = truncate_text(description, 4092)
-        else:
-            description_chunks = split_text(description, 4092)
-
-        # Create embeds
-        embeds = []
-        if truncate_text_flag:
-            # Single embed if truncated
-            embeds.append({
-                "title": f"⚠️ WATCHDOG ALERT ⚠️ - {config_data['machineID']}",
-                "description": description,
-                "color": 65280,
-                "fields": yara_matches,
-                "author": {
-                    "name": file_path
-                },
-                "thumbnail": {
-                    "url": "https://images-ext-1.discordapp.net/external/ZdQffnnucK3DWYPeokYDWnFPATtlvszVNozmNhOdXBg/https/upload.wikimedia.org/wikipedia/commons/5/59/Empty.png?format=webp&quality=lossless"
-                }
-            })
-        else:
-            # Multiple embeds if split
-            for idx, chunk in enumerate(description_chunks):
-                embeds.append({
-                    "title": f"⚠️ WATCHDOG ALERT ⚠️ (Part {idx + 1})",
-                    "description": chunk,
-                    "color": 65280,
-                    "fields": yara_matches if idx == 0 else [],  # Fields only in the first embed
-                    "author": {
-                        "name": file_path if idx == 0 else None
-                    },
-                    "thumbnail": {
-                        "url": "https://images-ext-1.discordapp.net/external/ZdQffnnucK3DWYPeokYDWnFPATtlvszVNozmNhOdXBg/https/upload.wikimedia.org/wikipedia/commons/5/59/Empty.png?format=webp&quality=lossless"
-                    }
-                })
-
-        # Construct the payload
-        payload = {
-            "content": "",
-            "embeds": embeds[:10],  # Discord allows a maximum of 10 embeds per payload
-            "attachments": []
-        }
-
-        try:
-            # Send POST request to Discord webhook
-            response = requests.post(discord_webhook_url, json=payload)
-            response.raise_for_status()  # Raise exception for HTTP errors
-            Log.v(f"Report sent to Discord webhook for {file_path}")
-        except requests.exceptions.RequestException as e:
-            Log.e(f"Report was not sent to Discord webhook, error: {e}")