By: Derek Brink
Originally from: https://blogs.rsa.com/risk-mobile-malware/
Obvious, or oblivious? Short-term predictions eventually tend to make us look like one or the other—as Art Coviello astutely noted in making his own predictions for the security industry in 2014—depending on how they actually turn out. (Long-term predictions, however, which require an entirely different level of thinking, are evaluated against a different scale. For example, check out the many uncannily accurate predictions Isaac Asimov made for the 2014 World’s Fair, from his reflections on the just-concluded 1964 World’s Fair.)
Art’s short-term prediction about mobile malware:
2014 is the tipping point year of mobile malware: As businesses provide greater mobile access to critical business applications and sensitive data, and consumers increasingly adopt mobile banking, it is easy to see that mobile malware will rapidly grow in sophistication and ubiquity in 2014. We’ve already seen a strong uptick in both over the past few months and expect that this is just the beginning of a huge wave. We will see some high-profile mobile breaches before companies and consumers realize the risk and take appropriate steps to mitigate it. Interestingly, the Economist recently featured an article suggesting such fears were overblown. It is probably a good idea to be ready just the same.
The Economist article Art references (which is based on an earlier blog) asserts that “surprisingly little malware has found its way into handsets. . . smartphones have turned out to be much tougher to infect than laptops and desktop PCs.” (Ironically, the Economist also publishes vendor-sponsored content such as How Mobile Risks Are Pushing Companies Towards Better Security. I suppose that’s one way to beat the obvious or oblivious game: Place a bet on both sides.)
RSA’s Online Fraud Resource Center provides some terrific fact-based insights on the matter, including Behind the Scenes of a Fake Token Mobile App Operation.
But the legitimate question remains: What is the risk of malware on mobile? Let’s focus here on enterprise risks, and set aside the consumer risks that Art also raised as a topic for another blog.
Keep in mind the proper definition of “risk”—one of the root causes of miscommunication among security professionals today, as I have noted in a previous blog—which is “the likelihood that a vulnerability will be exploited, and the corresponding business impact.” If we’re not talking about probabilities and magnitudes, we’re not talking about risk.
Regarding the probability of malware infecting mobile devices:
- The Economist‘s article builds on findings from an academic paper published by researchers from Georgia Tech, along with a recent PhD student who is now the Chief Scientist at spin-off security vendor Damballa. Their core hypothesis is that the activities of such malware—including propagation and update of malicious code, command and control communications with infected devices, and transmission of stolen data—will be discernible in network traffic.
- From three months of analysis, they found that about 3,500 mobile devices (out of a population of 380 million) were infected—roughly 0.001%, or 1 in 100,000.
- Compare this to the computers cleaned per mille (CCM) metric regularly reported by Microsoft: For every 1,000 computers scanned by the Microsoft Malicious Software Removal Tool, CCM is the number of computers that needed to be cleaned after they were scanned. For 1H2012, the infection rates per 1,000 computers with no endpoint protection was between 11.6 and 13.6 per month.
All of this nets out to say that currently, mobile endpoints are three orders of magnitude less likely to be infected by malware than traditional endpoints.
But doesn’t this conflict with other published research about mobile malware? For example, I’ve previously blogged about an analysis of 13,500 free applications for Android devices, published in October 2012 by university researchers in Germany:
- Of 100 apps selected for manual audit and analysis, 41 were vulnerable to man-in-the-middle (MITM) attacks due to various forms of SSL misuse.
- Of these 41 apps, the researchers captured credentials for American Express, Diners Club, PayPal, bank accounts, Facebook, Twitter, Google, Yahoo, Microsoft Live ID, Box, WordPress, remote control servers, arbitrary email accounts, and IBM Sametime, among others.
- Among the apps with confirmed vulnerabilities against MITM attacks, the cumulative installed base is up to 185 million users.
In another blog, I’ve noted that mobile applications have a more complex attack surface than traditional web applications—in addition to server-side code, they also deal with client-side code and (multiple) network channels. The impact of these threats is often multiplied, as in the common case of support for functions that were previously server-only (e.g., offline access). This makes security for mobile apps even more difficult for developers to address—mobile technology is not as well known, development teams are not as well educated, and testing teams are harder to keep current.
Meanwhile, malware on mobile is indeed becoming more prevalent: Currently over 350,000 instances from 300 malware families. It is also becoming more sophisticated—e.g., by obfuscating code to evade static and dynamic analysis, establishing device administration privileges to install additional code, and spreading code using Bluetooth, according to the IBM X-Force 2013 Mid-Year Trend and Risk Report.
But threats, vulnerabilities, and exploits are not risks. What would be obvious to predict is this: The likelihood of exploits based on mobile malware will increase dramatically in 2014—point Art.
The other half of the risk equation is the business impact of mobile exploits. From the enterprise perspective, we would have to estimate the cost of exploits such as compromise of sensitive corporate data, surveillance of key employees, and impersonation of key corporate identities—e.g., as part of attacks aimed at social networks or cloud platforms, where the mobile exploits are the means to a much bigger and more lucrative end. It seems quite reasonable to predict that we’ll see some high-profile, high-impact breaches along these lines in 2014—again, point Art.
Obvious or oblivious, you can put me down squarely with Art’s prediction for this one, with the exception that I would say the risk of mobile malware is much more concentrated and targeted than the all users/all devices scenario he seems to suggest.
About the Author:
Derek E. Brink, CISSP is a Vice President and Research Fellow covering topics in IT Security and IT GRC for Aberdeen Group, a Harte-Hanks Company. He is also a adjunct faculty with Brandeis University, Graduate Professional Studies teaching courses in our Information Security Program. For more blog posts by Derek, please see http://blogs.aberdeen.com/category/it-security/ and http://aberdeen.com/_aberdeen/it-security/ITSA/practice.aspx
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