Ademking

(UPDATE): Remove Bloatware using "Windows10Debloater" [with GUI]

1. Run Powershell (as admin)

2. Copy/paste

 iex ((New-Object System.Net.WebClient).DownloadString('https://git.io/debloat')) 

Ademking

1: Count the number of sent messages
https://graph.facebook.com/me/threads?limit=50&access_token=xxxxxxxxxxx

2: Delete the message
https://graph.facebook.com/id_tu_api_dem_tin_nhan?access_token=&method=delete

3: Get ds all your friends
https://graph.facebook.com/fql?q=SELECT+uid,+name,+friend_count,+subscriber_count+FROM+user+WHERE+uid+IN+(SELECT+uid2+FROM+friend+WHERE+uid1+=+me())++ORDER+BY+rand()+LIMIT+5000&access_token=

Ademking

Download : https://mega.nz/file/QJhhwQpB#iA7Mxroca9NtUuI_HuwOp5l0l3Rpppvq4Ss8fqVBgu0

After decompression:

$ chmod +x acunetix_13.0.200217097_x64_.sh
$ ./acunetix_13.0.200217097_x64_.sh 
$ cp Crack/wvsc /home/acunetix/.acunetix/v_200217097/scanner/ 
$ cp Crack/license_info.json /home/acunetix/.acunetix/data/license/

Ademking

.sql
.sql.gz
.sql.tar
.sql.bzip2
.sql.bz2
.sql.zip
.sql.rar
.sql.7z
.bash_history
.bashrc

Ademking

#!/bin/bash

# CVE-2025-55182 Advanced Scanner
# A comprehensive tool for detecting and exploiting CVE-2025-55182 in Next.js applications
# Based on the Nuclei template from: https://cloud.projectdiscovery.io/library/CVE-2025-55182
#
# Usage:
#   ./scanner.sh -d <domain> -c <command>
#   ./scanner.sh -d vulnapp.com -c id
#   ./scanner.sh -d http://localhost:3000 -c "ping -c 3 google.com"

Ademking

def log_metrics(self, metrics: dict, prefix: str = "train") -> None:
    """
    Log average metrics to Weights & Biases (wandb).
    Args:
        metrics (dict): Dictionary of metric names (str) to lists of tensor/float values.
        prefix (str): Prefix for metric names (e.g., "train" or "eval").
    """
    
    # FIX: Correct dictionary comprehension syntax and safe PyTorch-only calculation (faster)
    try:

Ademking

averaged_metrics = {
    metric: np.mean([v.cpu().detach().item() if hasattr(v, "cpu") else v for v in values])
    for metric, values in metrics.items()
}

Ademking

import torch
from safetensors.torch import load_file
import json
import os

# path to HF checkpoint
index_file = "model.safetensors.index.json"

with open(index_file, "r") as f:
    index = json.load(f)

Ademking

const baseColors = [
  {
    "hex": "#FFFFFF",
    "name": "White",
  },
  {
    "hex": "#000000",
    "name": "Black",
  },
  {

Ademking

(Android 5)

Run :

adb shell service call isms 9 s16 "com.android.mms" s16 "123456789" s16 "null" s16 "MESSAGEBODY" s16 "null" s16 "null"

The method is :