Coverage of Trojan malware examines reported incidents, technical analysis, infrastructure, disruption efforts, and defensive guidance for reducing cyber risk.
Search across headline titles and summaries.
Background for this topic.
A Trojan is malware that masquerades as legitimate, useful, or necessary software so a user or process runs it. “Trojan” describes a delivery or deception technique rather than one malware family; capabilities vary by sample and may include credential theft, surveillance, file manipulation, or remote access. Unlike self-propagating malware, a Trojan generally depends on being installed or executed through some other means.
Security analysis should identify the specific family and executable behavior rather than treating every Trojan as equivalent. Material concerns include untrusted software and tampered installers, execution under excessive privileges, and unauthorized persistence or access to sensitive data. Defenses include using trusted software sources and code-signature or application-control checks, limiting user privileges, monitoring endpoint process and network activity, and isolating suspected hosts. After detection, preserve relevant evidence, remove persistence, assess credential exposure, and investigate other affected systems before returning the device to normal use.
Trojanized NetExtender Installer Exfiltrates Data to Hardcoded IP AddressFake versions of SonicWall VPN software contain a credential-stealing Trojan, the California network security company warned Monday. Imposter versions of tools such as VPNs, virtual desktops and software development tools "are often laced with infostealers."
Unknown threat actors have been distributing a trojanized version of SonicWall's SSL VPN NetExtender application to steal credentials from unsuspecting users who may have installed it
Not every risk looks like an attack. Some problems start as small glitches, strange logs, or quiet delays that don’t seem urgent—until they are. What if your environment is already being tested, just not in ways you expected? Some of the most dangerous moves are hidden in plain sight. It’s worth asking: what patterns are we missing, and what signals are we ignoring because they don’t match old