In November 2019, Kaspersky technologies revealed new malware with a focus on diplomatic bodies in Europe, with the initial dropper spread as a spoofed visa application. Further analysis has indicated that this spyware uses the same code base as the infamous COMPFun.
Spyware focuses on propagating across the victims’ devices to collect and transmit data to the actor. It is widely used by various APTs and its danger is equal to the selected victimology: be it government or critical infrastructure segments, harvested information could pose a great value to the malware operators and bring many changes to the affected landscape.
The detected malware has strong code similarities with COMPFun, first reported in 2014. In 2019, the industry already witnessed it successor, Reductor. The new Trojan’s functions include the ability to acquire the target’s geolocation, gather host- and network-related data, keylogging and screenshots.
According to Kaspersky experts, this is a full-fledged Trojan that is also capable of propagating itself on removable devices. Its first stage dropper that is downloaded from the shared local area network holds the file name related to the visa application process, which corresponds with the targeted diplomatic entities. The legitimate application is kept encrypted inside the dropper, along with the 32- and 64-bit next stage malware.
Based on victimology, Kaspersky associates the original COMPfun malware with the Turla APT with medium-to-low level of confidence.
“The malware operators retained their focus on diplomatic entities and the choice of a visa-related application – stored on a directory shared within the local network – as the initial infection vector worked in their favor. The combination of a tailored approach to their targets and the ability to generate and execute their ideas certainly makes the developers behind COMPFun a strong offensive team,” says Kurt Baumgartner, principal security researcher at Kaspersky.
To keep organizations protected from threats such as COMPfun, Kaspersky suggests the following measures: