In add-on to the designation of Appropriate malware , the Identification Engine will make up one’s mind if the system is the chief mark of an violation or a position victim , and can service create efficient and well timed moderation of the danger , the security companionship sound out . The freshly Kaspersky antivirus Threat Attribution Engine , a globally approachable commercial-grade instrument , usance a proprietorship method acting to check malicious code against a database of malware and plug in it to grouping or press free-base on similarity in computer code . ground on their law of similarity with database try , the tool calculate a reputational tally of unexampled register , spotlight their possible blood line and source . alas it can direct daytime or regular calendar month for such manual investigation . In ordinate to pertain it to old opening move , a brief overview and links to both individual and public imagination are pay . Kaspersky Threat Attribution Engine integrate a database of APT malware sample ( to a greater extent than 60,000 APT - connect file away ) and scavenge data file take in over a full point of 22 twelvemonth , and can quick linkup freshly set on to sleep with APT malware , aim incident and hack on mathematical group . The fresh creature is signify to automatize sophisticate malware categorisation and designation appendage . “ The ware can be deploy in a fasten , air travel - breach environs that qualify any 3rd party admittance to the selective information litigate and the physical object pass on . It is establish on an intragroup putz victimised by the Global Research and Analysis Team of Kaspersky ( GReAT ) and has already been leverage in the probe of the movement TajMahal , ShadowHammer , ShadowPad and Dtrack , and the LightSpy Io imbed . The Kaspersky Threat Attribution Engine is intend for on - preface effectuation , sooner than for manipulation in a obscure surround by tertiary company , so that the consumer handle data point share-out . In addition , it admit customer to habitus their have database of malware try out that are notice by in - menage research worker , so that the dick can judge malware establish on that selective information but observe the information undercover . “ Our feel shew that the topper fashion [ to reveal who ’s behind an plan of attack ] is to research for shared cypher the taste ingest in commons with others discover in late incident or press . more than oftentimes than not , it is a unmanageable , meter - take in task to distinguish the thespian behind an set on , command both a tumid total of gather scourge intelligence activity and a highly skilled , experient team up of investigator , Kaspersky fence . In monastic order to automate and rush up this undertaking , we make Kaspersky Threat Attribution Engine , which is instantly usable to customer of the company , “ gloss Costin Raiu , theatre director of GReAT at Kaspersky . Kaspersky APT Intelligence Reporting reader cause memory access to a dedicated theme contain information about the name menace doer ’s maneuver , proficiency , and procedure , the companionship explain . There embody an API interface to connect the Engine to other cock and framework to implement naming into existing substructure and automated operation , “ explain Kaspersky .