Hacking Articles
前往频道在 Telegram
📈 Telegram 频道 Hacking Articles 的分析概览
频道 Hacking Articles (@hackinarticles) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 21 136 名订阅者,在 技术与应用 类别中位列第 6 405,并在 印度 地区排名第 20 624 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 21 136 名订阅者。
根据 20 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 1 309,过去 24 小时变化为 46,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 9.97%。内容发布后 24 小时内通常能获得 4.45% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 2 108 次浏览,首日通常累积 940 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 2。
- 主题关注点: 内容集中在 attack, privilege, escalation, exploitation, enumeration 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“House of Pentester”
凭借高频更新(最新数据采集于 21 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。
21 136
订阅者
+4624 小时
+3827 天
+1 30930 天
帖子存档
21 132
Medusa Mindmap
🔴⚫Full HD: https://github.com/Ignitetechnologies/Mindmap/blob/main/medusa/medusa%20UHD.png
21 132
🚀 AI Penetration Training (Online) – Register Now! 🚀
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Limited slots available! Hurry up to secure your spot in this exclusive training program offered by Ignite Technologies.
🧠 LLM Architecture
🔐 LLM Security Principles
🗄️ Data Security in AI Systems
🛡️ Model Security
🏗️ Infrastructure Security
📜 OWASP Top 10 for LLMs
⚙️ LLM Installation and Deployment
📡 Model Context Protocol (MCP)
🚀 Publishing Your Model Using Ollama
🔍 Introduction to Retrieval-Augmented Generation (RAG)
🌐 Making Your AI Application Public
📊 Types of Enumeration Using AI
🎯 Prompt Injection Attacks
🐞 Exploiting LLM APIs: Real-World Bug Scenarios
🔑 Password Leakage via AI Models
🎭 Indirect Prompt Injection Techniques
⚠️ Misconfigurations in LLM Deployments
👑 Exploitation of LLM APIs with Excessive Privileges
📝 Content Manipulation in LLM Outputs
📤 Data Extraction Attacks on LLMs
🔒 Securing AI Systems
🧾 System Prompts and Their Security Implications
🤖 Automated Penetration Testing with AI
21 132
Emerging Neurotech Risks Explained Through Restaurant Analogies
✴ Twitter: https://x.com/hackinarticles
Understand neurotechnology’s ethical and security risks with bite-sized restaurant scenarios:
☢ NT01 - Mental Privacy Violation
Waiter eavesdrops on diners’ thoughts → Sells preferences to advertisers
Risk: Unauthorized neural data harvesting for targeted ads.
☢ NT02 - Brain Hacking (BCI Exploits)
Chef remotely alters a dish order → Customer forced to eat spam
Risk: Hackers hijack brain-computer interfaces (BCIs) to manipulate actions.
☢ NT03 - Cognitive Bias Exploitation
Menu prices flash in red → Diners overpay without realizing
Risk: Neurostimulation subtly influences decisions (e.g., purchases, voting).
☢ NT04 - Deep Brain "Chef" Tampering
Kitchen AI overrides chef’s recipes → Diners addicted to salty food
Risk: Implanted devices hacked to alter behaviors or cravings.
☢ NT05 - Neuro-Discrimination
VIPs get premium brain upgrades → Others stuck with slow service
Risk: Socioeconomic divides widen with cognitive enhancement tech.
21 132
Famous Cyber Security Hack
🔴⚫Full HD: https://github.com/Ignitetechnologies/Mindmap/blob/main/Cyber%20Hack/Famous%20Cyber%20Security%20Hack%20UHD.png
21 132
Bug Bounty Training Program (Online)
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Hurry up, get enrolled yourself with IGNITE TECHNOLOGIES’ fully exclusive Training Program “Bug Bounty.”
✔️ Table of Content
🚀 Introduction to WAPT & OWASP Top 10
🛠 Pentest Lab Setup
🔍 Information Gathering & Reconnaissance
💻 Netcat for Pentester
⚙️ Configuration Management Testing
🔐 Cryptography
🔑 Authentication
🕒 Session Management
📂 Local File Inclusion
🌐 Remote File Inclusion
📁 Path Traversal
💣 OS Command Injection
🔀 Open Redirect
📤 Unrestricted File Upload
🐚 PHP Web Shells
📝 HTML Injection
🌟 Cross-Site Scripting (XSS)
🔄 Client-Side Request Forgery
🛑 SQL Injection
📜 XXE Injection
🎁 Bonus Section
21 132
API Penetration Testing Training (Online)
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📧 Email: info@ignitetechnologies.in
Hurry up, get enrolled yourself with Ignite Technologies’ fully exclusive Training Program "API Penetration Testing Training."
✔️ Table of Content
📘 Course Introduction
🔍 How API works with Web application
⚖️ Types of APIs and their advantages/disadvantages
🔎 Analysing HTTP request and response headers
🛡️ API Hacking methodologies
📄 Enumerate web pages and analyse functionalities
🕵️ API passive reconnaissance Strategies
🚀 API active reconnaissance (Kite runner)
🔧 Introduction to POSTMAN
🔍 Testing for Excessive data exposure
📂 Directory indexing / brute force
🔑 Password mutation
🎯 Password spray attacks against web application
🛡️ Introduction to JSON Web Token
🕵️ Hunting for JWT authentication vulnerabilities
💣 Exploiting JWT unverified signature
🔓 Cracking JWT secret keys
🚫 Bypass JWT removing signature
💉 Exploit jku header injection
🔧 Exploit KID in JSON web tokens
🔐 Attacking 0Auth 2.0
📊 Introduction to OWASP TOP 10 API
⚔️ Hunting and exploiting XXS in API
🕵️ Testing for the ReDOS attack in the API web application
💥 Exploiting XML vulnerabilities
🔧 WordPress XML-RPC attack
🌐 Exploiting WSDL/SOAP to RFI
🤖 API Automated Vulnerability scanning
💉 Testing SQL/NoSQL Injection in an API
🔓 Exploiting object-level access control
🔧 Exploiting Function level access control
📡 Testing in-band SSRF vulnerabilities in an API
🌍 Testing out-band SSRF vulnerabilities in an API
⚙️ Testing OS Command Injection
☕ Exploiting Java deserialization vulnerabilities
🗂️ Testing for improper assets management
📦 Testing for Mass assignment vulnerabilities
🚧 Bypass filter, space, and blacklisted characters
🔐 Bypass Captcha and MFA
📋 Remediations and Reporting
现已上线!2025 年 Telegram 研究 — 年度关键洞察 
