October is National Cyber Security Awareness and this week’s theme, cybercrime, is particularly apt with the holiday shopping season getting underway. Cybercrime is the fastest growing economic crime, jumping from fourth to 2nd place among the most reported types of economic crimes in PwC’s Global Economic Crime Survey 2016.
Attacks by cybercriminals are also growing more and more sophisticated and costly. Take the financial sector. While financial institutions have always been a target of choice, the stakes were raised significantly with this year’s hack of the SWIFT messaging system, which siphoned off $81m from the Bangladesh central bank and has caused problems for numerous other institutions.
The threat is so severe that last week the G7 group of nations jointly issued a cybersecurity framework for the financial sector. Unfortunately, while useful as a starting point for discussions, the framework offers little in the way of practical advice.
That is not surprising given the complicated nature of these threats. Advanced Persistent Threats (APTs), the type used in the SWIFT breach, employ sophisticated evasive techniques tailored for their target to avoid detection.
Upon infiltration, they persistently connect to an external command and control system to continuously monitor and extract data. The infamous Carbanak attacks, which took many dozens of banks for an estimated total of $1 billion, are another example. In that case, the malicious malware breached the banks’ systems for months, tracking the working process of the employees, and sending back video feeds to hackers.
The Trickle Down Effect
Once upon a time, the advanced evasive maneuvers used by such APTs could be safely ignored by the vast percentage of businesses and individuals. Not anymore. Advanced attack software and even technical support can be rented by anyone.
Malware-as-a-service has become a thriving organized crime industry. When put together with other “businesses,” like the black market in stolen credentials, or the sale of 0-day and 1-day vulnerabilities, cybercrime has become a huge chunk of organized crime’s revenue. A report by the Rand Corporation found that the cyber black market could be more profitable than the illegal drug trade.
With such readily available tools, even mass attacks, like malware spam (malspam), have begun incorporating advanced attack techniques.
But how does malware get to the endpoint in the first place? Endpoint attack infiltration vectors can be grouped into two types.
The first, or the malspam type, requires user interaction or consent. Using some type of social engineering, a user is convinced to go to a specific site and enter credentials, or enable a macro (that then downloads ransomware or a key logger or password stealer), or download malicious software disguised as legitimate software or execute an executable file attachment.
In the Carbanak attacks mentioned earlier, a Trojan-infected Word email attachment exploited the MS Office CVE-2015-2545 vulnerability to automatically download malicious code upon opening.
Attacks that exploit memory vulnerabilities are increasingly common and particularly difficult for cybersecurity systems to detect and block. A memory vulnerability results from possible wrong inputs into software. For example, inputs that are too long without proper validation can result in Buffer overflows (heap or stack). Additional memory vulnerabilities include Type confusion, Use-after-free condition and Integer overflow, among others.
While cybercrime methods have gotten smarter and cheaper to perpetrate, overall defenses have not kept up. All detection-based security products are necessarily limited by their detection logic – whether signature-based like traditional AV or more sophisticated solutions based on heuristics, reputation lists or machine learning. They also usually fall flat at dealing with file-less malware and can add significant administrative burden in terms of generating false positive results and update requirements.
Evasive techniques need likewise defense. Moving Target Defense (MTD) is one such emerging strategy. It uses counter-deception techniques to constantly change the target surface, concealing vulnerabilities in applications and web browsers and trapping attempts at access. MTD holds promise especially when combined with traditional antivirus, which is easy and cheap to administrate and still surprisingly adept at catching run-of-the-mill malware.
(About the author: Michael Gorelik is Morphisec’s vice president of research and development, and has more than seven years of experience leading diverse cybersecurity software development projects. Previously, Michael served as vice president and research and development at MotionLogic GmbH. Before that Michael served in senior leadership positions at Deutsche Telekom Labs.)
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