The biggest malware trends
When you look at the statistics of malware attacks across industries, a clear pattern emerges: attackers follow opportunity, and opportunity exists wherever security coverage has gaps.
Malware statistics point to a threat landscape that’s growing faster than most businesses realize. The way malware enters organizations is through a variety of vectors. Email, whether through phishing links or malicious attachments, remains the top initial infection vector. The Verizon 2025 Data Breach Investigations Report found that the human element played a role in 60% of all breaches. Attackers are preying on everyday activities that your employees perform without thinking: Click. Open. Reply as urgent.
According to the IBM X-Force Threat Intelligence Index 2026, vulnerability exploitation became the leading cause of attacks in 2025, accounting for 40% of incidents—a 44% increase from the prior year—while compromised credentials accounted for 32%.
Threat actors may also use malware to launch further parts of their attacks. Some malware variants are used as loaders for further types of malware, like ransomware. Other malware types have specific functionalities built in, enabling threat actors to move laterally, exfiltrate credentials, or maintain persistent access to a device for weeks or months, for example.
One common theme you’ll notice in many malware statistics is that detection is taking longer. Today’s attackers often leverage legitimate tools already present in their targets’ environments to help avoid detection. These are called Living Off the Land (LOTL) attacks. Since these are programs that wouldn’t normally be flagged as malicious by security teams, attackers can spend longer exploring environments undetected.
When attackers use compromised credentials, breaches take an average of 246 days to identify and contain. That’s nearly eight months of potential access before anyone spots the intrusion. AV-TEST registers over 450,000 new malware and potentially unwanted programs every day, with total known samples surpassing 1.56 billion as of early 2025. While many of these new samples were derived from existing malware families, others were only minimally changed in hopes of slipping past detection.