Using AI/ML primarily for the unknown, but verifying with tried and tested techniques used in the legacy world. “We believe that the solution lies in a hybrid approach. “Granted, it is harder to find a bias in an AI model than to bypass a simple AV signature, but the cost of fixing a broken model is equally expensive.”
#Cylance antivirus demo update#
“The concept of a static model that lasts for years without update may hold theoretically, but it fails in the arena,” Skylight explained. The score assigned by the product to the files in many cases shifted from -900, which indicates that the file is clearly malicious, to 900, which indicates that the file is harmless. It achieved a success rate of over 83% in bypassing the Cylance engine when tested against 384 malicious files. Skylight has conducted tests on known hacking tools such as Mimikatz, ProcessHacker and Meterpreter, and malware such as CoinMiner, Dridex, Emotet, Gh0stRAT, Kovter, Nanobot, Qakbot, Trickbot and Zeus. “However, we believe that the process presented in this post can be translated to other pure AI products as well.” “We chose Cylance for practical reasons, namely, it is publicly available and widely regarded as a leading vendor in the field,” Skylight said in a blog post. They discovered that taking specific strings from the game’s main executable and appending them to the end of a known malicious file causes the security product to classify it as harmless. Researchers believe that Cylance products may be giving special treatment to files associated with this game due to its popularity. The experts reverse engineered the Cylance antivirus engine and identified what they described as a bias towards an unnamed video game. However, Skylight researchers claim to have demonstrated that AI-based threat detection can be bypassed by malicious actors. Researchers at Australia-based cybersecurity firm Skylight claim to have found a way to trick Cylance’s AI-based antivirus engine into classifying malicious files as benign.Ĭylance, which last year was acquired by BlackBerry and is now called BlackBerry Cylance, told SecurityWeek it has launched an investigation to determine if the researchers’ findings are valid or if their method works as a result of a misconfiguration of the product.Īrtificial intelligence and machine learning are increasingly used by cybersecurity products, often being advertised as a solution to many problems, and even described by some as a silver bullet.
0 kommentar(er)
