IT threat evolution in Q1 2025. Non-mobile statistics

IT threat evolution in Q1 2025. Non-mobile statistics IT threat evolution in Q1 2025. Mobile statistics The statistics in this report are based on detection verdicts returned by Kaspersky products unless otherwise stated. The information was provided by Kaspersky users who consented to sharing...

Updated Guidance on Play Ransomware

CISA, the Federal Bureau of Investigation FBI, and the Australian Signals Directorate’s Australian Cyber Security Centre ASD’s ACSC have issued an updated advisory on Play ransomware, also known as Playcrypt. This advisory highlights new tactics, techniques, and procedures used by the Play...

From Ideology to Financial Gain: Exploring the Convergence from Hacktivism to Cybercrime

Co-authored by Yaniv Allender and Alexandra Blia Introduction In the ever-evolving landscape of cyber threat actors, the lines between ideologically driven hacktivism and financially motivated cybercriminals have become increasingly blurred. Originally fueled by political, social, or ethical...

How Microsoft Defender for Endpoint is redefining endpoint security

Securing your digital estate with endpoint detection and response EDR across all platforms, devices, and Internet of Things IoT has never been more challenging. A rapidly evolving cyberthreat landscape has seen cyberattacks grow in sophistication, evolving from randomized single domain cyberattac...

How Ransomware Operators Exploit Exposure, Not Just Vulnerabilities

Running short on time but still want to stay in the know? Well, we’ve got you covered! We’ve condensed all the key takeaways into a handy audio summary. Our AI-driven podcasts are fit for on the go. Click right here to hear it all on CAASM & CDMB Inefficiencies! In cybersecurity, we often treat...

From Ideology to Financial Gain: Exploring the Convergence from Hacktivism to Cybercrime

Introduction In the ever-evolving landscape of cyber threat actors, the lines between ideologically driven hacktivism and financially motivated cybercriminals have become increasingly blurred. Originally fueled by political, social, or ethical causes, hacktivist groups have historically engaged i...

Iranian Robbinhood Ransomware Operator Pleads Guilty in US City Attacks

Iranian Robbinhood ransomware operator pleads guilty to major US city attacks, crippling services in Baltimore, Greenville, and more since 2019...

Australia Requires Ransomware Victims to Declare Payments

A new Australian law requires larger companies to declare any ransomware payments they have made...

Interlock Ransomware Deploys New NodeSnake RAT in UK Attacks

Quorum Cyber identifies two new NodeSnake RAT variants, strongly attributed to Interlock ransomware, impacting UK higher education and local government...

A Hacker May Have Deepfaked Trump’s Chief of Staff in a Phishing Campaign

Plus: An Iranian man pleads guilty to a Baltimore ransomware attack, Russia’s nuclear blueprints get leaked, a Texas sheriff uses license plate readers to track a woman who got an abortion, and more...

Cops in Germany Claim They’ve ID’d the Mysterious Trickbot Ransomware Kingpin

The elusive boss of the Trickbot and Conti cybercriminal groups has been known only as “Stern.” Now, German law enforcement has published his alleged identity—and it’s a familiar face...

Fake ChatGPT and InVideo AI Downloads Deliver Ransomware

Cisco Talos uncovers CyberLock ransomware, LuckyGh0$t, and Numero malware masquerading as legitimate software and AI tool installers. Learn…...

Cybercriminals Target AI Users with Malware-Loaded Installers Posing as Popular Tools

Fake installers for popular artificial intelligence AI tools like OpenAI ChatGPT and InVideo AI are being used as lures to propagate various threats, such as the CyberLock and LuckyGh0$t ransomware families, and a new malware dubbed Numero. "CyberLock ransomware, developed using PowerShell,...

Take back control of your browser—Malwarebytes Browser Guard now blocks search hijacking attempts

Search hijacking, often referred to as browser hijacking, occurs when cybercriminals modify users’ browser settings without their consent. This often results in users being redirected to potentially malicious websites, such as fake customer service offerings. Search hijacking commonly happens...

DragonForce Exploits SimpleHelp Flaws to Deploy Ransomware Across Customer Endpoints

The threat actors behind the DragonForce ransomware gained access to an unnamed Managed Service Provider's MSP SimpleHelp remote monitoring and management RMM tool, and then leveraged it to exfiltrate data and drop the locker on multiple endpoints. It's believed that the attackers exploited a tri...

Cybercriminals camouflaging threats as AI tool installers

Cisco Talos has discovered new threats, including the ransomware CyberLock, LuckyGh0$t, and a newly-discovered malware we call "Numero," all of which masquerade as legitimate AI tool installers. CyberLock ransomware, developed using PowerShell, primarily focuses on encrypting specific files on th...

Iranian Hacker Pleads Guilty in $19 Million Robbinhood Ransomware Attack on Baltimore

An Iranian national has pleaded guilty in the U.S. over his involvement in an international ransomware and extortion scheme involving the Robbinhood ransomware. Sina Gholinejad aka Sina Ghaaf, 37, and his co-conspirators are said to have breached the computer networks of various organizations in...

Everest Ransomware Leaks Coca-Cola Employee Data Online

Everest ransomware leaks Coca-Cola employee data: 1,104 files exposed, including HR, admin roles, IDs, personal details, and internal records...

⚡ Weekly Recap: APT Campaigns, Browser Hijacks, AI Malware, Cloud Breaches and Critical CVEs

Cyber threats don't show up one at a time anymore. They're layered, planned, and often stay hidden until it's too late. For cybersecurity teams, the key isn't just reacting to alerts—it's spotting early signs of trouble before they become real threats. This update is designed to deliver clear,...

MLRan: a Behavioural Dataset for Ransomware Analysis and Detection

Ransomware remains a critical threat to cybersecurity, yet publicly available datasets for training machine learning-based ransomware detection models are scarce and often have limited sample size, diversity, and reproducibility. In this paper, we introduce MLRan, a behavioural ransomware dataset...