Famous Cyber Security Hack
🔴⚫Full HD: https://github.com/Ignitetechnologies/Mindmap/blob/main/Cyber%20Hack/Famous%20Cyber%20Security%20Hack%20UHD.png
🔴⚫Full HD: https://github.com/Ignitetechnologies/Mindmap/blob/main/Cyber%20Hack/Famous%20Cyber%20Security%20Hack%20UHD.png
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.
✴ 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.
🚀 AI Penetration Training (Online) – Register Now! 🚀
🔗 Register here: https://forms.gle/bowpX9TGEs41GDG99
💬 WhatsApp: https://wa.me/message/HIOPPNENLOX6F1
📧 Email: info@ignitetechnologies.in
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
🔗 Register here: https://forms.gle/bowpX9TGEs41GDG99
💬 WhatsApp: https://wa.me/message/HIOPPNENLOX6F1
📧 Email: info@ignitetechnologies.in
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
Medusa Mindmap
🔴⚫Full HD: https://github.com/Ignitetechnologies/Mindmap/blob/main/medusa/medusa%20UHD.png
🔴⚫Full HD: https://github.com/Ignitetechnologies/Mindmap/blob/main/medusa/medusa%20UHD.png
❤1
SAIL Framework: Secure AI Risks Explained Through Restaurant Scenarios
✴ Twitter: https://x.com/hackinarticles
Understand AI security risks with bite-sized restaurant analogies from the SAIL Framework (Secure AI Lifecycle):
☢ SAIL 1.1 - Inadequate AI Policy
Chef ignores food safety rules → Kitchen fails health inspection
Risk: No AI governance = unchecked vulnerabilities.
☢ SAIL 3.1 - Data Poisoning
Rival sabotages ingredients → Diners get sick
Risk: Corrupt training data skews AI decisions.
☢ SAIL 4.1 - Untested Model
New dish served without taste-test → Allergic reactions
Risk: Unvalidated AI models cause harmful outputs.
☢ SAIL 5.3 - Direct Prompt Injection
Customer writes "Add poison" on order → Chef obeys
Risk: Malicious prompts hijack AI behavior.
☢ SAIL 6.5 - Indirect Prompt Injection
Hidden note in delivery box → Kitchen follows rogue recipe
Risk: External data manipulates AI covertly.
☢ SAIL 7.2 - Missing Real-time Alerts
Food spoils silently → No one notices
Risk: Undetected model drift or attacks.
✴ Twitter: https://x.com/hackinarticles
Understand AI security risks with bite-sized restaurant analogies from the SAIL Framework (Secure AI Lifecycle):
☢ SAIL 1.1 - Inadequate AI Policy
Chef ignores food safety rules → Kitchen fails health inspection
Risk: No AI governance = unchecked vulnerabilities.
☢ SAIL 3.1 - Data Poisoning
Rival sabotages ingredients → Diners get sick
Risk: Corrupt training data skews AI decisions.
☢ SAIL 4.1 - Untested Model
New dish served without taste-test → Allergic reactions
Risk: Unvalidated AI models cause harmful outputs.
☢ SAIL 5.3 - Direct Prompt Injection
Customer writes "Add poison" on order → Chef obeys
Risk: Malicious prompts hijack AI behavior.
☢ SAIL 6.5 - Indirect Prompt Injection
Hidden note in delivery box → Kitchen follows rogue recipe
Risk: External data manipulates AI covertly.
☢ SAIL 7.2 - Missing Real-time Alerts
Food spoils silently → No one notices
Risk: Undetected model drift or attacks.
❤2
OSINT: User Privacy in Linux
🔥 Telegram: https://news.1rj.ru/str/hackinarticles
In this article, we are going to discuss why telemetry can be seen as a potential threat to privacy, even when used for legitimate purposes. We will also explore methods to make the system more secure than before.
🛡️ Secure OS Installation
🗑️ Removing the packages
⚙️ Settings in Ubuntu
📉 Disable diagnostics reporting
🔕 Disable lock screen notifications
📁 Disable tracking of recent files
🚫 Turning off the problem reporting
🌙 Turning off the screen blank
🔒 Disable automatic screen locking
🧨 Permanently delete option
👁️ Show hidden files
🧹 BleachBit
🔐 KeePassXC
🦠 Virus Scanner
✂️ Metadata removal
🦊 Firefox profilemaker
📦 Flatpak
🌐 LibreWolf
🗃️ VeraCrypt
🌍 Tor Browser
🛡️ Proton VPN
🧬 NextDNS
📌 Conclusion
🔥 Telegram: https://news.1rj.ru/str/hackinarticles
In this article, we are going to discuss why telemetry can be seen as a potential threat to privacy, even when used for legitimate purposes. We will also explore methods to make the system more secure than before.
🛡️ Secure OS Installation
🗑️ Removing the packages
⚙️ Settings in Ubuntu
📉 Disable diagnostics reporting
🔕 Disable lock screen notifications
📁 Disable tracking of recent files
🚫 Turning off the problem reporting
🌙 Turning off the screen blank
🔒 Disable automatic screen locking
🧨 Permanently delete option
👁️ Show hidden files
🧹 BleachBit
🔐 KeePassXC
🦠 Virus Scanner
✂️ Metadata removal
🦊 Firefox profilemaker
📦 Flatpak
🌐 LibreWolf
🗃️ VeraCrypt
🌍 Tor Browser
🛡️ Proton VPN
🧬 NextDNS
📌 Conclusion
❤2
Bug Bounty Training Program (Online)
🔗 Register here: https://forms.gle/bowpX9TGEs41GDG99
💬 WhatsApp: https://wa.me/message/HIOPPNENLOX6F1
📧 Email: info@ignitetechnologies.in
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
🔗 Register here: https://forms.gle/bowpX9TGEs41GDG99
💬 WhatsApp: https://wa.me/message/HIOPPNENLOX6F1
📧 Email: info@ignitetechnologies.in
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
❤2
Red Team Dorks Mindmap
🔴⚫Full HD: https://github.com/Ignitetechnologies/Mindmap/blob/main/Red%20Team%20Dorks/Red%20Team%20Dorks%20UHD.png
🔴⚫Full HD: https://github.com/Ignitetechnologies/Mindmap/blob/main/Red%20Team%20Dorks/Red%20Team%20Dorks%20UHD.png
AD Hardening Risks Explained Through Restaurant Scenarios
✴ Twitter: https://x.com/hackinarticles
Secure your Active Directory kitchen with these bite-sized analogies:
☢ Credential Stealer
Scenario: Dishwasher steals the head chef’s keys → Accesses the wine cellar.
Risk: Stolen credentials grant unauthorized access to critical systems.
Defense: Never log in with admin credentials on workstations.
☢ Public Pwn (MS14-068)
Scenario: Customer forges a VIP pass → Gets kitchen control.
Risk: Kerberos flaw escalates to Domain Admin in minutes.
Defense: Patch KB3011780 + automate compliance checks.
☢ Leaked in Kitchen (GPP Passwords)
Scenario: Recipes with secret ingredients left on the counter.
Risk: Group Policy Preferences expose passwords in SYSVOL.
Defense: Delete groups.xml, install KB2962486, audit GPPs.
☢ DCSync Attack
Scenario: Impostor poses as health inspector → Demands all recipes.
Risk: Attackers mimic Domain Controllers to steal password hashes.
Defense: Restrict "Replicating Directory Changes" rights.
☢ LLMNR Poisoning
Scenario: Fake waiter intercepts orders → Serves poisoned dishes.
Risk: Spoofed network responses steal NTLM hashes.
Defense: Disable LLMNR/NBT-NS via Group Policy.
☢ AS-REP Roasting
Scenario: No ID check at the door → Burglars walk in freely.
Risk: Kerberos pre-authentication bypassed for hash theft.
Defense: Enforce pre-auth for all accounts.
☢ Vulnerable GPO Abuse
Scenario: Dishwasher edits kitchen rules → Adds backdoor access.
Risk: Malicious Group Policies deploy malware.
Defense: Audit GPO permissions with BloodHound.
☢ Pass-the-Ticket Attack
Scenario: Stolen meal voucher reused → Free dinners forever.
Risk: Kerberos tickets reused for lateral movement.
Defense: Monitor TGT anomalies, reset compromised passwords.
✴ Twitter: https://x.com/hackinarticles
Secure your Active Directory kitchen with these bite-sized analogies:
☢ Credential Stealer
Scenario: Dishwasher steals the head chef’s keys → Accesses the wine cellar.
Risk: Stolen credentials grant unauthorized access to critical systems.
Defense: Never log in with admin credentials on workstations.
☢ Public Pwn (MS14-068)
Scenario: Customer forges a VIP pass → Gets kitchen control.
Risk: Kerberos flaw escalates to Domain Admin in minutes.
Defense: Patch KB3011780 + automate compliance checks.
☢ Leaked in Kitchen (GPP Passwords)
Scenario: Recipes with secret ingredients left on the counter.
Risk: Group Policy Preferences expose passwords in SYSVOL.
Defense: Delete groups.xml, install KB2962486, audit GPPs.
☢ DCSync Attack
Scenario: Impostor poses as health inspector → Demands all recipes.
Risk: Attackers mimic Domain Controllers to steal password hashes.
Defense: Restrict "Replicating Directory Changes" rights.
☢ LLMNR Poisoning
Scenario: Fake waiter intercepts orders → Serves poisoned dishes.
Risk: Spoofed network responses steal NTLM hashes.
Defense: Disable LLMNR/NBT-NS via Group Policy.
☢ AS-REP Roasting
Scenario: No ID check at the door → Burglars walk in freely.
Risk: Kerberos pre-authentication bypassed for hash theft.
Defense: Enforce pre-auth for all accounts.
☢ Vulnerable GPO Abuse
Scenario: Dishwasher edits kitchen rules → Adds backdoor access.
Risk: Malicious Group Policies deploy malware.
Defense: Audit GPO permissions with BloodHound.
☢ Pass-the-Ticket Attack
Scenario: Stolen meal voucher reused → Free dinners forever.
Risk: Kerberos tickets reused for lateral movement.
Defense: Monitor TGT anomalies, reset compromised passwords.