๐Ÿ”ฅOSCP Training๐Ÿ”ฅ๐Ÿ›กโš”๏ธ๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป
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Offensive Security Certified Professional
@WebHacking
@pfsense
@WifiHacking
๐Ÿ”ฐFor safer days
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๐—” ๐—น๐—ถ๐˜€๐˜ ๐—ผ๐—ณ ๐—ต๐—ฒ๐—น๐—ฝ๐—ณ๐˜‚๐—น ๐˜๐—ผ๐—ผ๐—น๐˜€ ๐—ถ๐—ป ๐—ฎ ๐—Ÿ๐—ถ๐—ป๐˜‚๐˜… ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ

๐Ÿ”น๐—ฝ๐—ถ๐—ฑ๐˜€๐˜๐—ฎ๐˜ - monitors how much of the system's resources, such as CPU, memory, device IO, task switching, and threads, are being used by all or a specific set of programs.

๐Ÿ”น๐—ป๐—ฒ๐˜๐˜€๐˜๐—ฎ๐˜ - displays ICMP, IP, TCP, and UDP protocol statistics.

๐Ÿ”น๐—น๐˜€๐—ผ๐—ณ- lists open files of the current system.

๐Ÿ”น๐—ถ๐—ผ๐˜€๐˜๐—ฎ๐˜ - reports the system's CPU and input/output information.

๐Ÿ”น๐˜ƒ๐—บ๐˜€๐˜๐—ฎ๐˜ - reports data on CPU activity, block IO, memory, processes, paging, and traps.
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Linux Privilege Escalation Methods Playbook

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FFUF

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WiFi DensePose โ€“ Camera-Free Human Tracking
WiFi DensePose enables human pose and motion tracking without cameras, using standard WiFi routers.
๐Ÿ“ก How it works
By analyzing WiFi CSI (Channel State Information) signals, it can detect:
Human movement
Full-body pose
Multiple people
โ€”even through walls.
โšก Key Features
๐Ÿšซ No cameras โ†’ Privacy-first
โฑ๏ธ Real-time (30 FPS, <50 ms latency)
๐Ÿ‘ฅ Tracks up to 10 people simultaneously
๐Ÿฅ Healthcare (fall detection), ๐Ÿ’ช fitness, ๐Ÿ  smart home
๐Ÿ› ๏ธ Setup
Python 3.8+
Install via pip or Docker
REST API & WebSocket support
๐Ÿ”— Source & Docs:
๐Ÿ‘‰ https://github.com (search: WiFi DensePose / InvisPose)
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