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House of Pentester

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๐Ÿ“ˆ Analytical overview of Telegram channel Hacking Articles

Channel Hacking Articles (@hackinarticles) in the English language segment is an active participant. Currently, the community unites 21 103 subscribers, ranking 6 405 in the Technologies & Applications category and 20 624 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 21 103 subscribers.

According to the latest data from 19 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 1 314 over the last 30 days and by 36 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 9.86%. Within the first 24 hours after publication, content typically collects 4.21% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 079 views. Within the first day, a publication typically gains 888 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
  • Thematic interests: Content is focused on key topics such as attack, privilege, escalation, exploitation, enumeration.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œHouse of Pentesterโ€

Thanks to the high frequency of updates (latest data received on 20 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

21 103
Subscribers
+3624 hours
+3977 days
+1 31430 days
Posts Archive
0Auth 2.0
0Auth 2.0

iOS Vuln Assesment
iOS Vuln Assesment

6 Most Common API Security Issues
6 Most Common API Security Issues

๐Ÿš€ AI Penetration Training (Online) โ€“ Register Now! ๐Ÿš€ ๐Ÿ”— Register here: https://forms.gle/bowpX9TGEs41GDG99 ๐Ÿ’ฌ WhatsApp: htt
๐Ÿš€ AI Penetration Training (Online) โ€“ Register Now! ๐Ÿš€ ๐Ÿ”— Register here: https://forms.gle/bowpX9TGEs41GDG99 ๐Ÿ’ฌ WhatsApp: https://wa.me/message/HIOPPNENLOX6F1 ๐Ÿ“ง Email: info@ignitetechnologies.in Limited slots available! Hurry up to secure your spot in this exclusive training program offered by Ignite Technologies. ๐Ÿง  LLM Architecture ๐Ÿ” LLM Security Principles ๐Ÿ—„๏ธ Data Security in AI Systems ๐Ÿ›ก๏ธ Model Security ๐Ÿ—๏ธ Infrastructure Security ๐Ÿ“œ OWASP Top 10 for LLMs โš™๏ธ LLM Installation and Deployment ๐Ÿ“ก Model Context Protocol (MCP) ๐Ÿš€ Publishing Your Model Using Ollama ๐Ÿ” Introduction to Retrieval-Augmented Generation (RAG) ๐ŸŒ Making Your AI Application Public ๐Ÿ“Š Types of Enumeration Using AI ๐ŸŽฏ Prompt Injection Attacks ๐Ÿž Exploiting LLM APIs: Real-World Bug Scenarios ๐Ÿ”‘ Password Leakage via AI Models ๐ŸŽญ Indirect Prompt Injection Techniques โš ๏ธ Misconfigurations in LLM Deployments ๐Ÿ‘‘ Exploitation of LLM APIs with Excessive Privileges ๐Ÿ“ Content Manipulation in LLM Outputs ๐Ÿ“ค Data Extraction Attacks on LLMs ๐Ÿ”’ Securing AI Systems ๐Ÿงพ System Prompts and Their Security Implications ๐Ÿค– Automated Penetration Testing with AI

Emerging_Applications_Of_Neurotechnology_And_Their_Implications.pdf1.84 MB

Emerging Neurotech Risks Explained Through Restaurant Analogies โœด Twitter: https://x.com/hackinarticles Understand neurotechn
Emerging Neurotech Risks Explained Through Restaurant Analogies โœด Twitter: https://x.com/hackinarticles Understand neurotechnologyโ€™s ethical and security risks with bite-sized restaurant scenarios: โ˜ข NT01 - Mental Privacy Violation Waiter eavesdrops on dinersโ€™ thoughts โ†’ Sells preferences to advertisers Risk: Unauthorized neural data harvesting for targeted ads. โ˜ข NT02 - Brain Hacking (BCI Exploits) Chef remotely alters a dish order โ†’ Customer forced to eat spam Risk: Hackers hijack brain-computer interfaces (BCIs) to manipulate actions. โ˜ข NT03 - Cognitive Bias Exploitation Menu prices flash in red โ†’ Diners overpay without realizing Risk: Neurostimulation subtly influences decisions (e.g., purchases, voting). โ˜ข NT04 - Deep Brain "Chef" Tampering Kitchen AI overrides chefโ€™s recipes โ†’ Diners addicted to salty food Risk: Implanted devices hacked to alter behaviors or cravings. โ˜ข NT05 - Neuro-Discrimination VIPs get premium brain upgrades โ†’ Others stuck with slow service Risk: Socioeconomic divides widen with cognitive enhancement tech.

Credential Dumping
Credential Dumping

Gined Access
Gined Access

Bug Bounty Training Program (Online) ๐Ÿ”— Register here: https://forms.gle/bowpX9TGEs41GDG99 ๐Ÿ’ฌ WhatsApp: https://wa.me/message
Bug Bounty Training Program (Online) ๐Ÿ”— Register here: https://forms.gle/bowpX9TGEs41GDG99 ๐Ÿ’ฌ WhatsApp: https://wa.me/message/HIOPPNENLOX6F1 ๐Ÿ“ง Email: info@ignitetechnologies.in Hurry up, get enrolled yourself with IGNITE TECHNOLOGIESโ€™ fully exclusive Training Program โ€œBug Bounty.โ€ โœ”๏ธ Table of Content ๐Ÿš€ Introduction to WAPT & OWASP Top 10 ๐Ÿ›  Pentest Lab Setup ๐Ÿ” Information Gathering & Reconnaissance ๐Ÿ’ป Netcat for Pentester โš™๏ธ Configuration Management Testing ๐Ÿ” Cryptography ๐Ÿ”‘ Authentication ๐Ÿ•’ Session Management ๐Ÿ“‚ Local File Inclusion ๐ŸŒ Remote File Inclusion ๐Ÿ“ Path Traversal ๐Ÿ’ฃ OS Command Injection ๐Ÿ”€ Open Redirect ๐Ÿ“ค Unrestricted File Upload ๐Ÿš PHP Web Shells ๐Ÿ“ HTML Injection ๐ŸŒŸ Cross-Site Scripting (XSS) ๐Ÿ”„ Client-Side Request Forgery ๐Ÿ›‘ SQL Injection ๐Ÿ“œ XXE Injection ๐ŸŽ Bonus Section

Password manger for Linux
Password manger for Linux

Azure Cloud Servics
Azure Cloud Servics

Home Network Security Tips
Home Network Security Tips

CLI Tools for Linux Admin
CLI Tools for Linux Admin

IPv4 vs IPv6
IPv4 vs IPv6

API Penetration Testing Training (Online) ๐Ÿ”— Register here: https://forms.gle/bowpX9TGEs41GDG99 ๐Ÿ’ฌ WhatsApp: https://wa.me/me
API Penetration Testing Training (Online) ๐Ÿ”— Register here: https://forms.gle/bowpX9TGEs41GDG99 ๐Ÿ’ฌ WhatsApp: https://wa.me/message/HIOPPNENLOX6F1 ๐Ÿ“ง Email: info@ignitetechnologies.in Hurry up, get enrolled yourself with Ignite Technologiesโ€™ fully exclusive Training Program "API Penetration Testing Training." โœ”๏ธ Table of Content ๐Ÿ“˜ Course Introduction ๐Ÿ” How API works with Web application โš–๏ธ Types of APIs and their advantages/disadvantages ๐Ÿ”Ž Analysing HTTP request and response headers ๐Ÿ›ก๏ธ API Hacking methodologies ๐Ÿ“„ Enumerate web pages and analyse functionalities ๐Ÿ•ต๏ธ API passive reconnaissance Strategies ๐Ÿš€ API active reconnaissance (Kite runner) ๐Ÿ”ง Introduction to POSTMAN ๐Ÿ” Testing for Excessive data exposure ๐Ÿ“‚ Directory indexing / brute force ๐Ÿ”‘ Password mutation ๐ŸŽฏ Password spray attacks against web application ๐Ÿ›ก๏ธ Introduction to JSON Web Token ๐Ÿ•ต๏ธ Hunting for JWT authentication vulnerabilities ๐Ÿ’ฃ Exploiting JWT unverified signature ๐Ÿ”“ Cracking JWT secret keys ๐Ÿšซ Bypass JWT removing signature ๐Ÿ’‰ Exploit jku header injection ๐Ÿ”ง Exploit KID in JSON web tokens ๐Ÿ” Attacking 0Auth 2.0 ๐Ÿ“Š Introduction to OWASP TOP 10 API โš”๏ธ Hunting and exploiting XXS in API ๐Ÿ•ต๏ธ Testing for the ReDOS attack in the API web application ๐Ÿ’ฅ Exploiting XML vulnerabilities ๐Ÿ”ง WordPress XML-RPC attack ๐ŸŒ Exploiting WSDL/SOAP to RFI ๐Ÿค– API Automated Vulnerability scanning ๐Ÿ’‰ Testing SQL/NoSQL Injection in an API ๐Ÿ”“ Exploiting object-level access control ๐Ÿ”ง Exploiting Function level access control ๐Ÿ“ก Testing in-band SSRF vulnerabilities in an API ๐ŸŒ Testing out-band SSRF vulnerabilities in an API โš™๏ธ Testing OS Command Injection โ˜• Exploiting Java deserialization vulnerabilities ๐Ÿ—‚๏ธ Testing for improper assets management ๐Ÿ“ฆ Testing for Mass assignment vulnerabilities ๐Ÿšง Bypass filter, space, and blacklisted characters ๐Ÿ” Bypass Captcha and MFA ๐Ÿ“‹ Remediations and Reporting

XSS.pdf2.40 MB