Machine identities increasingly exploited, new research finds
Malware attacks are increasingly exploiting machine identities, with this particular breed of threat becoming much more popular between 2018 and 2019.
This is according to threat analysis from Venafi, the provider of machine identity management. The company finds that malware attacks using machine identities doubled from 2018 to 2019, including high-profile campaigns such as: TrickBot, Skidmap, Kerberods and CryptoSink.
The Venafi Threat Intelligence Team gathered data on the misuse of machine identities by analysing security incidents and third-party reports in the public domain.
Overall, malware attacks utilising machine identities grew eightfold over the last 10 years and increased more rapidly in the second half of the decade.
These findings are part of an ongoing threat research program focused on mapping the security risks connected with unprotected machine identities.
According to Venafi, this problem is made more complicated by the explosion of microservices, DevOps projects, cloud workloads and IoT devices on enterprise networks.
Today, there are already more than 31 billion IoT devices worldwide and the number of connected mobile devices is expected to grow to 12.3 billion by 2022.
Between 2018 and 2023, 500 million new logical apps will be created, which is equal to the number built over the past 40 years.
All of these applications and devices must have machine identities to authenticate themselves to each other so they can communicate securely, Venafi states.
However, machines, whether they are an app in a Kubernetes cluster or a serverless function in the cloud, don’t rely on usernames or passwords to establish trust, privacy and security.
Instead, they use cryptographic keys and digital certificates that serve as machine identities. Because most organisations do not have machine identity management programs in place, attacks exploiting machine identities are already causing serious economic damage, the company states.
Venafi threat intelligence researcher Yana Blachman says, “Unfortunately, machine identities are increasingly being used in off-the-shelf malware.
“In the past, machine identity capabilities were reserved for high-profile and nation-state actors, but today we’re seeing a ‘trickle-down’ effect. Machine identity capabilities have become commoditised and are being added to off-the-shelf malware, making it more sophisticated and harder to detect.
“For example, massive botnet campaigns abuse machine identities to get an initial foothold into a network and then move laterally to infect further targets.
“In many recorded cases, bots download crypto-mining malware that hijacks a target’s resources and shuts down services. When successful, these seemingly simple and non advanced attacks can inflict serious damage on an organisation and its reputation.”
Venafi vice president of security strategy and threat intelligence Kevin Bocek says, “As we continue to move through digital transformation of nearly every essential service, it’s clear that human-centric security models are no longer effective.
“To protect our global economy, we need to provide machine identity management at machine speed and cloud scale. Every organisation needs to ensure they have full visibility and comprehensive intelligence over every authorised machine they are using in order to defend themselves against the rising tide of attacks.”