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Understanding and Detecting Lateral Movement in Enterprise Networks

Posted on 15 Jul 2025

Lateral movement is a post-compromise technique used by attackers to quietly move through a network, escalate privileges, and access critical systems or data. By leveraging stolen credentials, exploiting trusted protocols like WMI and SMB, and abusing built-in tools such as PowerShell and PsExec, adversaries can blend in with normal activity and remain undetected. Detecting and stopping lateral movement requires internal visibility, strong identity controls, and behavior-based detection tools. ...

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Netizen: Monday Security Brief (7/14/2024)

Posted on 14 Jul 2025

Fortinet has released a critical security patch for a SQL injection vulnerability (CVE-2025-25257) in FortiWeb, affecting multiple versions. Meanwhile, a newly discovered eSIM flaw in Kigen’s eUICC technology may jeopardize billions of IoT devices. Users are urged to upgrade to mitigate risks. Netizen offers advanced cybersecurity solutions to enhance protection. ...

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How PerfektBlue Bluetooth Exploits Could Compromise Vehicle Systems and User Data

Posted on 11 Jul 2025

Four critical vulnerabilities in OpenSynergy's BlueSDK Bluetooth stack, named "PerfektBlue," expose millions of vehicles to remote code execution risks. Identified by PCA Cyber Security, these vulnerabilities can allow attackers to exploit infotainment systems, risking unauthorized access, data manipulation, and potential compromise of critical vehicle functions. Manufacturers are working on security updates. ...

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Understanding SEO Poisoning and How to Defend Against It

Posted on 10 Jul 2025

SEO poisoning poses a serious cyber threat by manipulating search engine algorithms to rank malicious websites. Attackers exploit user trust, directing individuals to harmful sites where malware can be downloaded. This article explores SEO poisoning's mechanics, attack chains, psychological effectiveness, real-world examples, and suggests defenses to mitigate its risks. ...

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The Echo Chamber Attack: A New LLM Security Threat

Posted on 09 Jul 2025

The rapid advancement of large language models (LLMs) such as GPT-4 and Gemini-2 has significantly increased the capabilities of artificial intelligence systems. However, this progress has also exposed new vulnerabilities that malicious actors can exploit. One such threat, uncovered by NeuralTrust’s AI researcher Ahmad Alobaid, is the Echo Chamber attack—a sophisticated technique that bypasses LLM ...

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