Malwarebytes is a leading cybersecurity company offering a range of solutions to detect and remove malware, ransomware, and other online threats.

Its products include Anti-Malware for individuals, Endpoint Protection for businesses, Privacy for VPN services, and more. Known for its behavioral analysis and real-time protection, Malwarebytes aims to provide user-friendly, cross-platform security solutions with responsive customer support.

DeepSeek & Qwen AI Models

Hackers Exploiting DeepSeek & Qwen AI Models to Develop Malware

Ravi Jain
Cybercriminals are exploiting AI models like DeepSeek and Qwen to create sophisticated malware due to their less restrictive content filters. Hackers use techniques such as jailbreaking to bypass AI safeguards and generate infostealers that steal sensitive data. These AI models are also used to bypass banking fraud detection and distribute mass spam. To combat these threats, organizations should implement AI monitoring tools, enhance phishing detection, train employees, and use SIEM solutions. Technijian offers specialized cybersecurity services to protect businesses from AI-generated threats, including threat monitoring and AI security consulting. The FAQs section gives simplified answers to questions a lay person might have after reading this text. ... Read More
ValleyRAT Attacking

ValleyRAT Attacking Accounting Departments with New Delivery Techniques

Ravi Jain
**ValleyRAT**, a sophisticated Remote Access Trojan (RAT) linked to the Silver Fox APT group, is targeting finance and accounting departments with advanced techniques. The malware uses social engineering and innovative methods like DLL hijacking and memory injection to bypass security, steal sensitive data, and remain undetected. Organizations are advised to implement a zero-trust security model, enhance threat detection, strengthen employee awareness, and utilize threat intelligence to protect themselves. The article emphasizes the importance of proactive cybersecurity measures to combat this evolving threat and highlights the capabilities of a cybersecurity firm, Technijian, in assisting organizations. Ultimately, the text warns of the increasing sophistication of cyberattacks and the need for robust security practices. ... Read More
Gravy Analytics data breach

A Breach of Gravy Analytics’ Location Data Threatens the Privacy of Millions

Ravi Jain
A massive data breach at Gravy Analytics, a location data broker, exposed the location data of millions of users from various apps. The breach, exploited via a misappropriated Amazon key, leaked sensitive information including locations near the White House and Kremlin. This highlights the risks of data collection by brokers and the lack of transparency in their practices. The article also emphasizes the importance of individual privacy protections, such as adjusting app permissions and using ad-blockers, and offers cybersecurity solutions to mitigate future threats. Gravy Analytics' response included temporarily suspending operations and notifying authorities. Experts warn of the significant privacy implications, especially for vulnerable groups. ... Read More
Cybersecurity Breach Hits Three School Systems in Mobile County

Cybersecurity Breach Hits Three School Systems in Mobile County: What You Need to Know

Ravi Jain
Three Mobile County, Alabama school systems experienced a cybersecurity breach via their state-mandated PowerSchool software. The breach compromised sensitive student data, highlighting vulnerabilities in educational systems. PowerSchool has since implemented enhanced security measures, and the affected schools are communicating with parents and stakeholders. The incident underscores the growing need for robust cybersecurity infrastructure in schools to protect against increasingly sophisticated cyberattacks. The article also promotes the services of a cybersecurity firm, Technijian, to assist schools in improving their defenses. ... Read More
Bad Likert Judge

“Bad Likert Judge” – A New Technique to Jailbreak AI Using LLM Vulnerabilities

Ravi Jain
AI jailbreaking technique called "Bad Likert Judge," which exploits large language models (LLMs) by manipulating their evaluation capabilities to generate harmful content. This method leverages LLMs' long context windows, attention mechanisms, and multi-turn prompting to bypass safety filters, significantly increasing the success rate of malicious prompts. Researchers tested this technique on several LLMs, revealing vulnerabilities particularly in areas like hate speech and malware generation, although the impact is considered an edge case and not typical LLM usage. The article also proposes countermeasures such as enhanced content filtering and proactive guardrail development to mitigate these risks. ... Read More