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Symbian Botnet? Mobile Linux Rootkits? iPhone Botnets? Millions of phones at risk? The press coverage on smart phone threats is at times somewhat accurate, distant, and occasionally (if unintentionally) misleading. They tend to raise questions such as: How close to PC levels (100,000+ to millions of nodes) have mobile botnets reached? Have mobile rootkits reached the complexity of those on the PC? This talk covered the state of rootkits and botnets on smart phones from the perspective of anti-malware researchers, including demystification of the threat from mobile rootkits and mobile botnets, the differences (if any) between mobile rootkits and mobile botnets vs. their PC counterparts, and a look at how samples seen in the wild and researcher PoCs function.
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Mobile devices are not simply PCs. While one knows to look for an Advanced Persistent Threat(APT) on their desktop endpoints, mobile tends to be ignored. Setting up an MDM solution is not enough. Installing AV on as many devices as possible is not enough. The holes in the net are still too wide; attackers have more options than just malicious apps for getting on your network. Topics covered will be: How attackers are moving to mobile in order to bypass traditional protection. Apps are only one part of the problem. Documents, email, messaging are still left wide open Bypassing Mobile Antivirus Bypassing MDM, MAM and Containers Attackers are turning from apps to exploits. Finally we’ll cover what to do next – how to effectively deal with Mobile APT.
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Smartphone Ownage: The state of mobile botnets and rootkits
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Jimmy Shah
Mobile devices are not simply PCs. While one knows to look for an Advanced Persistent Threat(APT) on their desktop endpoints, mobile tends to be ignored. Setting up an MDM solution is not enough. Installing AV on as many devices as possible is not enough. The holes in the net are still too wide; attackers have more options than just malicious apps for getting on your network. Topics covered will be: How attackers are moving to mobile in order to bypass traditional protection. Apps are only one part of the problem. Documents, email, messaging are still left wide open Bypassing Mobile Antivirus Bypassing MDM, MAM and Containers Attackers are turning from apps to exploits. Finally we’ll cover what to do next – how to effectively deal with Mobile APT.
BYOD is now BYOT (Bring Your Own Threat) – Current Trends in Mobile APT
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The 'Platypus' talk Malware on mobile phones is rapidly increasing. There are many reasons for this, but the primary one is the ease of monetizing malware on mobile phones, Attackers are incentivized to create more malware faster and cheaper. They are overwhelming the limited resources of malware researchers with this glut of cheap and "good enough" malware. Malware can be identified by humans, but there is insufficient time to handle all that is released daily by malware writers. There is a need to develop both better heuristics and the tools that let an analyst separate the wheat from the chaff. The presentation will cover not just the development of heuristics for mobile malware, but also its path from simple detection to more advanced and more successful(i.e fewer false positives) detection. Along the way we will cover the missteps and pitfalls that slow the development of automation.
Mobile malware heuristics the path from 'eh' to pretty good'
Mobile malware heuristics the path from 'eh' to pretty good'
Jimmy Shah
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Viruses on mobile platforms why we don't/don't we have viruses on android_
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Jimmy Shah
The Internet of Things is not as complex as one would think. Objects(e.g. Power meters, Fridge computers, etc.) or "Things" don;t have their own Internet, instead they "speak" to each other over the same Internet we all use. There lies their vulnerability. Assuming that since the machines will only talk to each other, that no one will eavesdrop or intrude on their conversation. Security researchers have a saying, "Security through Obscurity is no Security". The presentation shows how the Internet of Things' veil of obscurity can be pierced by an attacker(or more likely a Security Researcher) would assess a particular Smart Parking Meter ecosystem. Only open source intelligence(OSINT)[e.g. patents, newspaper articles] was used to compile the information on: * parking meters * mesh networking * machine2machine(m2m) SIMs * management consoles * RF usage
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Attackers are starting to move on from simple attacks, mainly because users are starting to figure out that the free adult entertainment or chat app shouldn't be sending SMS messages to expensive numbers. They're leveraging techniques from PC malware like server-side polymorphism, vulnerability exploits, botnets and network updates, and preemptive/direct attacks against security software.
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