Find, analyze, and check for exposed IP cameras with open ports, known vulnerabilities, and weak login credentials.
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Updated
Nov 23, 2025 - Python
Find, analyze, and check for exposed IP cameras with open ports, known vulnerabilities, and weak login credentials.
Hackcctv
CCTV_Hack for tool
144 countey cctv camra hacking
Camera Live Streaming with Flask and Open-CV
Analyzing CCTV videos to find interesting events
To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.
CogniTrack is an Artificial Intelligence powered person tracking system that acquires images from CCTV cameras and tracks individuals appearing in the frame in real-time.
A system that monitors motion with Python's OpenCV from a webcam and allows remote viewing of the webcam from an android app. The system takes pictures when it detects motion then emails those pictures. The android app allows you to remotely view the cam anytime.
📷 Parking Occupancies Detection with CCTV Cameras
Object Detection and Alarming System for CCTV Cameras using YOLOv8 and Python
Access Public CCTV Cameras Easily.
Hack Cameras CCTV FREE
Logging of an EZVIZ camera (CCTV ethernet based) into an hdd
YOLOv8 handles real-time object detection, spotting people, vehicles, and activity around your home. Potential threats are then analyzed and summarized by ChatGPT, turning raw detections into clear security logs. Together, they provide an AI-powered CCTV system that both sees and thinks.
Code for "CCTV Latent Representations for Reducing Accident Response Time" (ICCGV 2022)
This repository contains the code for the project of Biometric Systems course at the University of La Sapienza, Rome.
This tool retrieves all information from the mobotix camera info page and adds it to a csv file
An exploit for a DVR authentication bypass vulnerability – Demonstrates how attackers can retrieve sensitive information (like user credentials) through crafted requests.
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