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

{
    "$schema": "https://ui.shadcn.com/schema/registry-item.json",
    "name": "test",
    "type": "registry:ui",
    "title": "Test",
    "devDependencies": [
        "vite-plugin-run"
    ],
    "files": [
        {

Ademking

# Usage: python3 ntlm.py https://example.com users.txt passwords.txt

import requests
from requests_ntlm import HttpNtlmAuth
import urllib3
import argparse
import concurrent.futures

# Suppress SSL warnings
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)

Ademking

import h5py
import matplotlib.pyplot as plt
import numpy as np

# Path to the H5 dataset
h5_file_path = "./data/your_dataset.h5"

# Open the HDF5 file
with h5py.File(h5_file_path, "r") as f:
    # Load datasets

Ademking

import os
from pypdf import PdfReader

# Get all PDF files in the current directory
pdf_files = [f for f in os.listdir('.') if f.endswith('.pdf')]

for pdf_file in pdf_files:
    # Create a PDF reader object
    reader = PdfReader(pdf_file)
    

Ademking

sudo mkdir /mnt/sdb
sudo mount /dev/sdb1 /mnt/sdb
chroot /mnt/sdb"
passwd

Ademking

import { Page, Text, View, StyleSheet, Document, Font, Image } from "@react-pdf/renderer";
import { containsArabic } from "../utils/utils";

Font.register({
  family: "Noto Sans Arabic",
  src: "https://cdn.jsdelivr.net/npm/@expo-google-fonts/[email protected]/NotoSansArabic_400Regular.ttf",
});

Font.register({
  family: "Work Sans",