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HackGit

HackGit

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The channel was created for cybersecurity specialists. • Offensive Security • RedTeam • Malware Research • BugBounty • OSINT • etc Disclaimer: t.me/hackgit/2082 Donations - Ads: t.me/hackgit/5423

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📈 Аналитический обзор Telegram-канала HackGit

Канал HackGit (@hackgit) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 21 579 подписчиков, занимая 4 526 место в категории Технологии и приложения и 1 853 место в регионе США.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 21 579 подписчиков.

Согласно последним данным от 02 марта, 2025, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 19, а за последние 24 часа — 0, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 0%. В первые 24 часа после публикации контент обычно набирает N/A% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 0 просмотров. В течение первых суток публикация набирает 0 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 0.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“The channel was created for cybersecurity specialists. • Offensive Security • RedTeam • Malware Research • BugBounty • OSINT • etc Disclaimer: t.me/hackgit/2082 Donations - Ads: t.me/hackgit/5423”

Благодаря высокой частоте обновлений (последние данные получены 03 марта, 2025) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

21 579
Подписчики
Нет данных24 часа
-37 дней
+1930 дней
Архив постов
HackGit
21 579
​​SiteDorks Search Google, Bing, Brave, Ecosia, Yahoo or Yandex for a search term with several websites. A default list is already provided, which contains Github, Gitlab, Surveymonkey, Trello etc etc. Currently, a default list of 546 dorkable websites is available. https://github.com/Zarcolio/sitedorks #cybersecurity #infosec

HackGit
21 579
​​AwesomeXSS This repository is a collection of Awesome XSS resources. Contributions are welcome and should be submitted via an issue. https://github.com/s0md3v/AwesomeXSS #infosec #pentesting #bugbounty

HackGit
21 579
​​Cyber-Breach-Detector Protect your personal information from hackers and cyber criminals with HackAlert. Our product scans the internet for your online persona, including financial, social, and personal accounts, to detect data breaches or hacks. With real-time notifications via text or email, you can take action before it's too late. Stay safe and secure with HackAlert https://github.com/initd1/HackAlert #cybersecurity #infosec

HackGit
21 579
​​ICE9 Bluetooth Sniffer Bluetooth sniffer for Wireshark and HackRF, BladeRF, and USRP that can listen to between 4 and 40 channels simultaneously. https://github.com/mikeryan/ice9-bluetooth-sniffer #cybersecurity #infosec

HackGit
21 579
Repost from ProgramsHub
​​Awesome Sysadmin A curated list of amazingly awesome open source #sysadmin resources. https://github.com/awesome-foss/awesome-sysadmin

HackGit
21 579
​​Profiler A Red Teaming tool focused on profiling the target. https://github.com/madalin-dogaru/profiler #infosec #pentesting #redteam

HackGit
21 579
​​Wireshark A network traffic analyzer, or "sniffer", for Linux, macOS, *BSD and other Unix and Unix-like operating systems and for Windows. It uses Qt, a graphical user interface library, and libpcap and npcap as packet capture and filtering libraries. The Wireshark distribution also comes with TShark, which is a line-oriented sniffer (similar to Sun's snoop or tcpdump) that uses the same dissection, capture-file reading and writing, and packet filtering code as Wireshark, and with editcap, which is a program to read capture files and write the packets from that capture file, possibly in a different capture file format, and with some packets possibly removed from the capture. https://github.com/wireshark/wireshark Website: https://www.wireshark.org #best #kali #sniffer #infosec

HackGit
21 579
​​Malicious Document Analysis https://github.com/RanjitPatil/Malicious-Document-Analysis #cybersecurity #infosec #malware

HackGit
21 579
​​GreedyBear The project goal is to extract data of the attacks detected by a TPOT or a cluster of them and to generate some feeds that can be used to prevent and detect attacks. https://github.com/intelowlproject/GreedyBear #cybersecurity #infosec

HackGit
21 579
​​NIST-to-Tech An open-source listing of cybersecurity technologies mapped to the NIST Cybersecurity Framework (CSF). https://github.com/mikeprivette/NIST-to-Tech #cybersecurity #infosec

HackGit
21 579
​​K🔑Logger v3.0.0 Remote persistent 🔑Logger for Windows and Linux Features: ▫️ Logs keys pressed on keyboard ▫️ upload reports in anonfile. ▫️ Works with Linux and Windows. ▫️ Does not require root or admin privlages. https://github.com/De3vil/KLogger #infosec #pentesting #redteam

HackGit
21 579
Repost from Pentesting Shop
​​BladeRF 2.0 Micro xA4 The bladeRF 2.0 micro is the next-generation 2x2 MIMO, 47MHz to 6GHz frequency range, off-the-shelf USB 3.0 Software Defined Radio (SDR) that is easy and affordable for students and RF enthusiasts to explore wireless communications, yet provides a powerful waveform development platform expected by industry professionals. Support is available for Linux, macOS, and Windows. The bladeRF libraries, utilities, firmware, and platform HDL are released under open source licenses, and schematics are available online. The FPGA and USB 3.0 peripheral controller are programmable using vendor-supplied tools and SDKs that are available online, free of charge. Car Hacking Part 3: Rolljam Attack: https://scare.rocks/2022/01/27/Car-Hacking-Part-3-Rolljam-Attack.html Buy online: 🛒 https://alii.pub/6o2uor #radio #bladerf #SDR

HackGit
21 579
AttackSurfaceMapper ASM is a reconnaissance tool that uses a mixture of open source intelligence and active techniques to expand the attack surface of your target. You feed in a mixture of one or more domains, subdomains and IP addresses and it uses numerous techniques to find more targets. It enumerates subdomains with bruteforcing and passive lookups, Other IPs of the same network block owner, IPs that have multiple domain names pointing to them and so on. Once the target list is fully expanded it performs passive reconnaissance on them, taking screenshots of websites, generating visual maps, looking up credentials in public breaches, passive port scanning with Shodan/Censys and scraping employees from LinkedIn. https://github.com/superhedgy/AttackSurfaceMapper #infosec #pentesting #redteam

HackGit
21 579
​​CVE-2023-28206 This is a PoC for CVE-2023-28206, triggering an oob memmove in IosaColorManagerMSR8::getHDRStats_gatedContext. https://gist.github.com/LinusHenze/728db96a836b6817ecb727cfbde606b3 Details: https://support.apple.com/en-us/HT213720 #cve #poc #cybersecurity #infosec

HackGit
21 579
​​Fiber This is a simple PoC of how you can leverage fibers to execute in-memory code without spawning threads and hiding suspicious thread stacks among others. https://github.com/Kudaes/Fiber #cybersecurity #infosec #pentesting

HackGit
21 579
​​APTnotes Data A repository of publicly-available papers and blogs (sorted by year) related to malicious campaigns/activity/software that have been associated with vendor-defined APT (Advanced Persistent Threat) groups and/or tool-sets. https://github.com/aptnotes/data #infosec #pentesting #redteam #APT

HackGit
21 579
​​iocextract Indicator of Compromise (IOC) extractor for some of the most commonly ingested artifacts. https://github.com/InQuest/python-iocextract #cybersecurity #infosec

HackGit
21 579
​​Linux Kernel Fuzzer Corpus https://github.com/cmu-pasta/linux-kernel-enriched-corpus #cybersecurity #infosec

HackGit
21 579
​​learning-malware-analysis This repository contains sample programs that mimick behavior found in real-world malware. The goal is to provide source code that can be compiled and used for learning purposes, without having to worry about handling live malware. https://github.com/jstrosch/learning-malware-analysis #malware #cybersecurity #infosec

HackGit
21 579
​​LOOBins Living Off the Orchard: macOS Binaries (LOOBins) is designed to provide detailed information on various built-in macOS binaries and how they can be used by threat actors for malicious purposes. This list does not include overlapping Unix binaries that are detailed in GTFOBins. https://github.com/infosecB/LOOBins #cybersecurity #infosec