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New Open-Source Tool Spotlight 🚨🚨🚨

VISTA is a Python-based AI chatbot built using OpenAI GPT and LangChain. It integrates with Pinecone for vector databases, focusing on semantic search and managing context. Looks like a good starting point if you're exploring AI chatbot frameworks. #AI #Chatbots

🔗 Project link on #GitHub 👉 github.com/RitikaVerma7/VISTA

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️

New Open-Source Tool Spotlight 🚨🚨🚨

GhidraMCP is an Model Context Protocol server for allowing LLMs to autonomously reverse engineer applications. It exposes numerous tools from core Ghidra functionality to MCP clients.

#ReverseEngineering #Ghidra

🔗 Project link on #GitHub 👉 lnkd.in/gRUrYpMx

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How can a DNS mail record be used to trick you into giving up your login credentials? 📨😕

Researchers at Infoblox have identified a phishing-as-a-service (PhaaS) platform called Morphing Meerkat that’s been quietly operating for over five years. What makes it notable is its use of DNS MX (Mail Exchange) records in ways rarely reported before. Instead of the usual static phishing page setups, Morphing Meerkat queries the victim’s email provider’s MX record—using DNS-over-HTTPS via Google or Cloudflare—to tailor the phishing page dynamically. This means victims are shown spoofed login interfaces that mimic the exact service they use, complete with matching branding and pre-filled email fields.

The platform supports more than 114 brand templates and uses obfuscated JavaScript to evade detection. It also includes built-in translation capabilities based on browser profile or geolocation, making the fake login pages appear native to the user's language. Earlier versions began in 2020 targeting just five email services (Gmail, Outlook, Yahoo, AOL, Office 365). By mid-2023, they could generate phishing pages dynamically using MX records and now operate in over a dozen languages.

Morphing Meerkat campaigns rely on a set of centralized email servers, primarily hosted by UK ISP iomart and US-based HostPapa, indicating a coordinated infrastructure rather than a loose network of attackers. The phishing emails often impersonate trusted services—banks, shipping companies, etc.—and are distributed using compromised WordPress sites, open redirects from platforms like Google’s DoubleClick, and embedded links in shortened URLs.

Once a user submits credentials, the system may display a fake “Invalid Password” error to lure them into re-entering data, after which they are redirected to the real login page. This not only reduces suspicion but also increases the chance of capturing correct credentials. Stolen data is sent back via AJAX, PHP scripts, or Telegram bots, sometimes with evidence removed in real-time.

This operation shows a deep understanding of modern security blind spots—including how content delivery and DNS infrastructure can be turned against end users.

#Infosec #Cybersecurity #Software #Technology #News #CTF #Cybersecuritycareer #hacking #redteam #blueteam #purpleteam #tips #opensource #cloudsecurity

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️

New Open-Source Tool Spotlight 🚨🚨🚨

TheHive is an open-source incident response platform designed to help teams investigate and manage cybersecurity incidents efficiently. It integrates with tools like MISP for threat intelligence sharing and supports automation through APIs. #CyberSecurity #IncidentResponse

🔗 Project link on #GitHub 👉 github.com/TheHive-Project/The

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️

New Open-Source Tool Spotlight 🚨🚨🚨

APTSimulator is a tool for security teams to simulate advanced persistent threat (APT) behavior in a controlled environment. It uses batch scripts to mimic common attack techniques, like privilege escalation or ransomware actions, without real payloads. Useful for testing detection rules. #CyberSecurity #ThreatSimulation

🔗 Project link on #GitHub 👉 github.com/NextronSystems/APTS

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️

New Open-Source Tool Spotlight 🚨🚨🚨

Velociraptor is an advanced DFIR (Digital Forensics and Incident Response) tool. It focuses on endpoint monitoring, hunting, and data collection using flexible artifact-based queries. Its scripting language, VQL, allows custom queries tailored for specific investigations. #DigitalForensics #CyberSecurity

🔗 Project link on #GitHub 👉 github.com/Velocidex/velocirap

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️

New Open-Source Tool Spotlight 🚨🚨🚨

Rubeus is a post-exploitation tool for Kerberos-related tasks on Windows. It supports ticket extraction, pass-the-ticket attacks, ticket forging, and more. A powerful choice for understanding and simulating Kerberos security flaws.

#CyberSecurity #Kerberos #RedTeam

🔗 Project link on #GitHub 👉 github.com/GhostPack/Rubeus

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️

New Open-Source Tool Spotlight 🚨🚨🚨

Azure Sentinel is Microsoft's cloud-native SIEM tool. It integrates AI to detect threats, automate responses, and monitor logs across environments. Useful for hybrid clouds, it supports connectors for platforms like AWS, Office 365, and more. #CloudSecurity #SIEM

🔗 Project link on #GitHub 👉 github.com/Azure/Azure-Sentinel

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️

New Open-Source Tool Spotlight 🚨🚨🚨

CrackMapExec is a post-exploitation tool for penetration testers. It automates tasks like credential validation, lateral movement, and Active Directory enumeration on Windows environments. Built on Python, it supports SMB, WinRM, and other protocols. Extremely useful for red team assessments. #CyberSecurity #PenTest

🔗 Project link on #GitHub 👉 github.com/byt3bl33d3r/CrackMa

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️

New Open-Source Tool Spotlight 🚨🚨🚨

Log4Shell still has lingering risks. If you're managing Java apps, check out Log4shell-detector on GitHub. It scans for vulnerable Log4j usage with minimal setup. Regular audits help keep your environment secure. #cybersecurity #Log4Shell

🔗 Project link on #GitHub 👉 github.com/Neo23x0/log4shell-d

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️

New Open-Source Tool Spotlight 🚨🚨🚨

MITRE Caldera is an open-source platform for automated adversary emulation. It uses plugins to simulate threats and test your defenses, helping identify gaps in your cybersecurity posture. The framework supports ATT&CK TTPs for realistic scenarios. #cybersecurity #opensource

🔗 Project link on #GitHub 👉 github.com/mitre/caldera

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️

New Open-Source Tool Spotlight 🚨🚨🚨

Sigma is a platform-independent framework to create security detections in a unified and structured way. Write rules once, convert them into formats like Splunk, Elastic, or SIEM-specific queries. It's a must-have for blue teams aiming for consistency and reuse. #Cybersecurity #ThreatHunting

🔗 Project link on #GitHub 👉 github.com/Neo23x0/sigma

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️

New Open-Source Tool Spotlight 🚨🚨🚨

DataDog's KubeHound is a tool that queries Kubernetes clusters and surfaces Pod Security Standard violations. It works by analyzing a cluster against best practices with minimal setup. Useful for teams focused on securing their workloads in Kubernetes environments. #Kubernetes #CyberSecurity

🔗 Project link on #GitHub 👉 github.com/DataDog/KubeHound

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️

New Open-Source Tool Spotlight 🚨🚨🚨

SpiderFoot is an open-source OSINT tool to automate data collection about targets. It supports over 200 modules, integrating DNS, IP, email, and infrastructure analysis. Perfect for security audits or threat intel workflows. #OSINT #Cybersecurity

🔗 Project link on #GitHub 👉 github.com/smicallef/spiderfoot

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️

New Open-Source Tool Spotlight 🚨🚨🚨

Sqlmap is an open-source tool for automating SQL injection detection and exploitation. It supports multiple databases like MySQL, PostgreSQL, Oracle, and more. Widely used for penetration testing, it includes features like database dumping, password cracking, and file system access.

Remember: powerful tools require responsible use. #CyberSecurity #PenTesting

🔗 Project link on #GitHub 👉 github.com/sqlmapproject/sqlmap

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️

New Open-Source Tool Spotlight 🚨🚨🚨

Nuclei is a tool for automating vulnerability scanning using customizable YAML-based templates. Its strength lies in speed and flexibility, making it ideal for penetration testers and security researchers. Think of it as crafting your own scanner that adapts to your needs. #CyberSecurity #VulnerabilityTesting

🔗 Project link on #GitHub 👉 github.com/projectdiscovery/nu

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️

New Open-Source Tool Spotlight 🚨🚨🚨

Mimikatz is a well-known open-source tool for extracting credentials from Windows systems. It can retrieve plaintext passwords, hash credentials, and even Kerberos tickets from memory. Used by both researchers and attackers, it highlights the importance of secure credential management in Active Directory environments. #CyberSecurity #WindowsSecurity

🔗 Project link on #GitHub 👉 github.com/gentilkiwi/mimikatz

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️

New Open-Source Tool Spotlight 🚨🚨🚨

Bettercap is a powerful, modular tool for network attacks and monitoring. It supports ARP spoofing, DNS spoofing, packet sniffing, and more. Written in Go, it's flexible and efficient for intercepting and manipulating network traffic on various protocols. #cybersecurity #networking

🔗 Project link on #github 👉 github.com/bettercap/bettercap

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️

How can organizations trust their AI when the data it learns from might be compromised? 🧠🔐

Data poisoning is a growing concern in cybersecurity, especially with the expanding reliance on machine learning models. At its core, data poisoning involves malicious actors tampering with training datasets to undermine an AI system's performance or behavior. This manipulation could lead to subtle biases, complete dysfunction, or even harmful outcomes in critical applications like healthcare diagnostics, fraud detection, or autonomous systems.

For example, in a supervised learning model for financial fraud detection, attackers might inject fraudulent transaction data labeled as legitimate during the training process. As a result, the model becomes less effective at identifying real fraud cases. Detecting these poisoned inputs is immensely challenging, particularly in large-scale datasets where irregularities might appear statistically insignificant.

The threat becomes more pressing as organizations increasingly rely on third-party datasets or shared data repositories. Without stringent validation mechanisms, poisoned data can infiltrate and compromise AI at scale. Worse, attacks can be tailored—targeting specific outputs or patterns—allowing attackers to exploit vulnerabilities that are very difficult to predict or reverse.

Mitigating this risk requires advanced strategies. Techniques like data provenance checks, anomaly detection during data preprocessing, and model robustness testing can help. Also, employing federated learning (training models locally without centralizing data) limits exposure to malicious actors. But these defenses are resource-intensive and introduce their own complexities.

Ultimately, ensuring AI systems remain trustworthy hinges on securing the integrity of the data pipeline—not just reacting after the damage is done. As the adoption of AI accelerates, so does the urgency to prioritize its foundational safety.

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️

Did you know a previously unknown Linux malware, Auto-Color, has been targeting institutions across North America and Asia? 🎯💻

Auto-Color is a newly discovered malware that surfaced between November and December 2024. According to cybersecurity researchers at Palo Alto Networks Unit 42, this malware is particularly dangerous because it grants attackers full remote access to compromised systems. This means an attacker can control an infected machine as if they were sitting right in front of it, accessing files, running commands, or deploying additional malicious tools. Removing Auto-Color from the infected systems is complex, often requiring specific expertise.

What sets Auto-Color apart is its stealth. It targets Linux-powered infrastructure, which is widely used in university research labs and government servers due to its reliability and scalability. The malware operates quietly, avoiding detection by traditional security measures. It likely entered systems through unpatched vulnerabilities or targeted phishing campaigns, although exact details are not yet disclosed.

Researchers emphasize that organizations need to ensure all software is updated and patched regularly. Employing advanced endpoint detection and response (EDR) tools can help identify anomalies that indicate infections like Auto-Color. The sophistication of this malware highlights the growing need for robust cybersecurity strategies.

#Infosec #Cybersecurity #Software #Technology #News #CTF #Cybersecuritycareer #hacking #redteam #blueteam #purpleteam #tips #opensource #cloudsecurity

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🔐 P.S. Found this helpful? Tap Follow for more cybersecurity tips and insights! I share weekly content for professionals and people who want to get into cyber. Happy hacking 💻🏴‍☠️