🦑AI Agents: The Security Approach 🔐

AI agents are changing the game, helping us solve problems and innovate faster than ever. But with all this power comes many questions, some of them: How do we keep them safe? What should be the security considerations for each layer of this future AI framework?

*️⃣ Input Layer

> Security Risk: Data poisoning and adversarial attacks could corrupt input data or manipulate real-time feedback loops.

> Tip: Implement data validation pipelines to sanitize incoming data.
Use secure APIs for real-time inputs and Continuously monitor for anomalies in user feedback patterns.

*️⃣ Agent Orchestration Layer

> Security Risk: Inter-agent communication could be exploited for unauthorized data sharing or infiltration.

> Tip: Use end-to-end encryption for inter-agent communication. Employ RBAC to ensure agents only perform tasks for which they’re authorized and Monitor orchestration processes for unexpected task allocation behaviors.

*️⃣ AI Agents Layer

> Security Risk: Malicious actors could exploit self-learning loops to insert harmful behaviors or compromise models.

> Tip: Regularly test models with adversarial simulation frameworks to identify vulnerabilities. Log and review planning, reflection, and tool usage steps to detect anomalies and secure model updates to prevent injection attacks during retraining.

*️⃣ Retrieval Layer

> Security Risk: Vector stores and knowledge graphs are high-value targets for attackers seeking to steal or manipulate critical information.

> Tip: Encrypt data at rest and in transit using robust protocols like AES-256. Apply zero-trust principles to storage access—verify every request. Maintain immutable logs to track data access and modifications.

*️⃣ Output Layer

> Security Risk: Unauthorized enrichment or synthetic data generation could leak sensitive information or introduce malicious payloads.

> Tip: Use watermarking and audit trails for enriched outputs. Apply strict controls to ensure customizable outputs don’t expose sensitive data and
Integrate DLP policies into output workflows.

*️⃣ Service Layer

> Security Risk: Automated insight generation and multi-channel delivery could introduce phishing or unauthorized data dissemination risks.

> Tip: Implement AI-generated output verification to prevent spoofing or misinformation. Regularly audit multi-channel delivery systems for misconfigured endpoints. Enforce secure delivery protocols to safeguard automated insights.

💡 Foundational Security Principles

> Ethics & Responsible AI: Regularly assess models for biases that attackers could exploit.
> Compliance: Align with frameworks like GDPR, CCPA, and AI-specific laws.
> Human-AI Collaboration: Build explainability into every decision to reduce the "black box" effect.

Ref: Elli Shlomo (IR)Elli Shlomo (IR)
@UndercodeCommunity
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🦑 The Data Privacy Checklist: 7 Must-Have Practices for Every Organization

Protecting data is no longer optional, it's a necessity. Whether you're a startup or a global enterprise, safeguarding sensitive information must be at the core of your operations. Here are 7 essential data privacy practices that every organization should implement:

🔒 Data Encryption: Encrypt sensitive data at rest and in transit to shield it from unauthorized access.

🔄 Regular Software Updates: Keep systems up to date to eliminate vulnerabilities.

🔑 Strong Authentication: Implement multi-factor authentication (MFA) for robust security.

👩‍🏫 Employee Training: Educate your team on phishing, social engineering, and data protection protocols.

💾 Backup and Recovery: Regularly back up data and establish a recovery plan for emergencies.

🤝 Third-Party Risk Management: Vet vendors to ensure their practices align with your standards.

⚡️ Incident Response Plan: Be ready to manage and mitigate breaches swiftly.

🌟 By integrating these practices into your cybersecurity strategy, you can reduce risks and ensure compliance with data protection standards.

Ref: Fadi Kazdar
@UndercodeCommunity
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🦑 How to Hunt LFI Using Google Dorks - PoC 🚨

Welcome to another exciting episode on HackWithRohit! 🚀
In this video, we’ll dive deep into:
🔍 Local File Inclusion (LFI) vulnerabilities and how they can expose sensitive files on web servers.
💡 Leveraging Google Dorks as a powerful tool to uncover vulnerable endpoints.
🛠 A step-by-step demonstration of identifying and exploiting LFI in real-world scenarios.
🛡 Disclaimer:
This video is strictly for educational purposes only. Always ensure you have permission to test and follow ethical hacking guidelines. Unauthorized testing or exploitation is illegal and against the principles of ethical hacking.
💬 Discussion Time:
Have you encountered LFI during your bug hunting journey?
Share your tips and tricks in the comments!
📌 Don’t forget to like, comment, and subscribe to stay updated on the latest bug bounty techniques and tools.

Ref: ROHITH SROHITH S
@UndercodeCommunity
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🦑Mastering Active Directory Enumeration with BloodHound 🔍💻

Just explored the "BloodHound Active Directory Enumeration Tool"—an essential resource for both offensive and defensive security professionals. This guide simplifies the process of visualizing and understanding Active Directory attack paths and security gaps, helping organizations stay secure.

Highlights from the guide:
✔️ Step-by-step installation for Linux and Windows
✔️ Techniques to extract and analyze domain data
✔️ Pre-built queries to identify vulnerabilities like AS-REP roasting, Kerberoasting, and DC Sync attacks
✔️ Utilizing SharpHound and PowerShell for efficient data collection
✔️ Practical advice for Red and Blue Teams alike

Whether you're on the offensive or working to harden your network's defenses, BloodHound is a game-changer for Active Directory enumeration and analysis.

Ref: in pdf
@UndercodeCommunity
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@UndercodeCommunity
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2. Learn and develop any new skill
Prompt: "I want to learn / get better at [insert desired skill]. I am a complete beginner. Create a 30-day learning plan that will help a beginner like me learn and improve this skill."

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Prompt: "Summarize the text below and give me a list of bullet points with key insights and the most important facts." [Insert text]

4. Train ChatGPT to generate prompts for you
Prompt: "You are an AI designed to help [insert profession]. Generate a list of the 10 best prompts for yourself. The prompts should be about [insert topic]."

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Prompt: "I have 3 free days a week and 2 months. Design a crash study plan to master [insert desired skill]."

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@UndercodeCommunity
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🦑𝐅𝐑𝐄𝐄 𝐀𝐈 𝐜𝐨𝐮𝐫𝐬𝐞𝐬 𝐭𝐨 𝐠𝐞𝐭 𝐲𝐨𝐮 𝐦𝐚𝐬𝐬𝐢𝐯𝐞𝐥𝐲 𝐚𝐡𝐞𝐚𝐝:

🔗 Links are included.
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@UndercodeCommunity
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🦑XSS payload generated using JSfuck, for bypass attribute filters 🛡️

https://pastebin.ubuntu.com/p/5sVVKjqXxx

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Ref: Dimitris Chatzidimitris
@UndercodeCommunity
▁ ▂ ▄ U𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁

🦑 LFIer Tool :


>>>>LFIer>>>> is a powerful tool for detecting >>>>Local File Inclusion (LFI)>>>> vulnerabilities in web applications. By injecting payloads into URL parameters and analyzing responses, it efficiently identifies potential security issues. The tool is designed for flexibility, efficiency, and accuracy, even when scanning sites protected by WAFs or cloud-based defenses.


🌟 >>>>Key Features>>>>
1. >>>>⚡️ High Performance>>>>: Async programming ensures rapid, non-blocking requests for large-scale scanning.
2. >>>>🔍 Advanced Detection>>>>: Custom payloads and indicators accurately detect vulnerabilities.
3. >>>>🛡 WAF/Cloud Bypass>>>>: Simulates real browser requests to bypass security measures.
4. >>>>💉 Custom Payloads>>>>: Allows user-defined payload injection for flexibility.
5. >>>>🌐 Custom Headers>>>>: Mimics client requests or bypasses filters with custom headers.
6. >>>>⏱️ Rate Limiting>>>>: Prevents server overload by controlling request frequency and batching.
7. >>>>📝 Flexible Output>>>>: Results in JSON or plain text for seamless integration into pipelines.
8. >>>>🔧 Configurability>>>>: Adjustable settings for rate, timeouts, and workers.
9. >>>>📂 Organized Scans>>>>: Groups results by domain or URL list.
10. >>>>🔄 Easy Updates>>>>: One-click update mechanism ensures the latest features.

📥 >>>>Installation>>>>

# >>>>For Kali Linux (2024.4+)>>>>

git clone https://github.com/Cybersecurity-Ethical-Hacker/lfier.git
cd lfier
pipx install aiohttp 
pipx install colorama
pipx install tqdm

# >>>>Using Virtual Environment (Recommended for Non-Kali Users)>>>>
1. >>>>Create and activate virtual environment:>>>>

   python3 -m venv venv
   source venv/bin/activate
   

2. >>>>Upgrade pip:>>>>

   pip install --upgrade pip
   

3. >>>>Clone the repository and install dependencies:>>>>

   git clone https://github.com/Cybersecurity-Ethical-Hacker/lfier.git
   cd lfier
   pip install -r requirements.txt
   

---

📄 >>>>Payloads & Indicators>>>>

# >>>>Linux Example>>>>
- >>>>Payloads>>>>:

  /..\\../..\\../etc/passwd
  ../../../../../etc/passwd
  

- >>>>Indicators>>>>:

  root:x:0:0:
  nobody:x:65534:
  

# >>>>Windows Example>>>>
- >>>>Payloads>>>>:

  C:/boot.ini
  

- >>>>Indicators>>>>:

  [boot loader]
  timeout=30
  

---

🧩 >>>>Parameterized URLs>>>>
To find URLs with parameters:

paramspider -d domain.com -s 2>&1 | grep -Ei "https?://" | sort -u | httpx -silent -status-code -mc 200,201,204,401,403 > live_urls.txt

---

🚀 >>>>Usage Examples>>>>

# >>>>Single Domain Scan>>>>

python lfier.py -d "https://domain.com/file.php?parameter=1234"

# >>>>Multiple URLs with Custom Rate>>>>

python lfier.py -l urls.txt -r 5

# >>>>Advanced Usage>>>>
- Custom headers:

  python lfier.py -d "https://example.com" -H "User-Agent: CustomAgent"
  

- JSON output:

  python lfier.py -l urls.txt -j -o results.json
  

---

❗️ >>>>Important Notes>>>>
- Always activate the virtual environment before using LFIer:

  source venv/bin/activate
  

- Regularly update LFIer to keep it effective against new protections:

  python lfier.py -u
  

This tool is a must-have for cybersecurity professionals looking to identify and remediate LFI vulnerabilities efficiently. Happy hunting!

@UndercodeCommunity
▁ ▂ ▄ U𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁

🦑Hacking Search Queries :

1. Shodan
A search engine for discovering internet-connected devices such as servers, routers, and IoT devices.
2. ExploitDB
A comprehensive database of publicly available exploits and vulnerabilities for security professionals.
3. Censys
Provides real-time data about devices and servers exposed to the internet, assisting with vulnerability assessments.
4. SecurityTrails
Offers in-depth DNS and domain data, useful for gathering intelligence on domains and their infrastructure.
5. ZoomEye
Similar to Shodan, this search engine focuses on finding devices and services exposed to the internet.
6. VirusTotal
A tool that analyzes files and URLs for potential threats using multiple antivirus engines and tools.
7. Maltego
A powerful tool for open-source intelligence (OSINT) gathering, mapping relationships between people, domains, and networks.
8. Google Dorks
A technique that uses advanced search operators to find specific information on websites, often used in penetration testing.
9. GreyNoise
A threat intelligence platform that helps to identify and filter out background noise in network traffic to focus on real threats.
10. Foca
A tool for gathering metadata from documents, websites, and emails to perform digital reconnaissance and OSINT collection.
11. Recon-ng
A full-featured web reconnaissance framework for open-source intelligence gathering, helping to identify and map online targets.
12. OSINT Framework
A structured framework that categorizes various open-source intelligence tools to help with cyber investigations.
13. TheHarvester
A tool for gathering emails, subdomains, hosts, and other information from public sources to assist with penetration testing.
14. ThreatMiner
A tool for gathering threat intelligence data, including information about malware and attacks, from various sources.
15. Spokeo
A tool for aggregating information about individuals, often used in social engineering and OSINT investigations.
16. Whois Lookup
A query tool for obtaining domain registration information, often used to find the owner of a domain or IP address.
17. Robtex
A network intelligence platform that provides DNS, IP address, and ASN lookup information for network reconnaissance.
18. OpenVAS
An open-source vulnerability scanner used for detecting security issues and weaknesses in networks and systems.
19. Nmap
A network scanning tool that helps detect devices, services, and vulnerabilities within a network, frequently used in penetration testing.
20. Netcraft
A tool for gathering web server information, including the hosting provider and the software stack used by websites.
21. Recon.sh
A simple OSINT tool used for gathering information about a domain, including emails, DNS records, and other associated data.
22. Sublist3r
A fast subdomain enumeration tool used to find subdomains associated with a target domain.
23. Wappalyzer
A tool that helps identify technologies used on websites, such as frameworks, web servers, and content management systems (CMS).
24. BuiltWith
Provides detailed information about the technologies used on websites, including advertising networks, analytics tools, and CMS platforms.
25. Pentesterslab
A collection of resources and tools aimed at penetration testers, focusing on offensive security.
26. Burp Suite
A popular tool used by ethical hackers for web application security testing, including scanning for vulnerabilities.
27. Hydra
A powerful password-cracking tool used for brute-force attacks on network services.
28. Mimikatz
A tool for extracting plaintext passwords, Kerberos tickets, and other sensitive information from Windows systems.
29. Cuckoo Sandbox
An automated malware analysis tool that executes suspicious files in a controlled environment to analyze their behavior.
30. ThreatCrowd
A tool for analyzing and investigating malware, IP addresses, and other threat intelligence data.
31. VirusShare
A malware sample sharing platform useful for gathering information on known malicious files and their characteristics.
32. IBM X-Force Exchange

A threat intelligence sharing platform where cybersecurity professionals can access and share information about threats and vulnerabilities.
33. AlienVault OTX
An open threat intelligence platform that provides a community-driven collection of actionable cybersecurity data.
34. Honeyd
A honeypot tool for simulating different types of computer systems and services to capture network-based attacks.
35. LogRhythm
A security information and event management (SIEM) tool used for monitoring and analyzing log data for suspicious activity.
36. Snort
A widely-used open-source intrusion detection system (IDS) that analyzes network traffic for malicious activity.
37. Suricata
A high-performance IDS/IPS (Intrusion Prevention System) and network security monitoring tool used to detect and block threats in real-time.
38. ZAP (OWASP Zed Attack Proxy)
A popular open-source security testing tool used to find vulnerabilities in web applications through penetration testing.
39. Social-Engineer Toolkit (SET)
A framework for automating social engineering attacks such as phishing, credential harvesting, and exploitation.

@UndercodeCommunity
▁ ▂ ▄ U𝕟𝔻Ⓔ𝐫Ć𝔬𝓓ⓔ ▄ ▂ ▁

🦑Windows TCP/IP - RCE Checker and Denial of Service