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Chinese security researchers have discovered more than a dozen vulnerabilities in the onboard compute units of BMW cars, some of which can be exploited remotely to compromise a vehicle. The security flaws have been discovered during a year-long security audit conducted by researchers from Keen Security Lab, a cybersecurity research unit of Chinese firm Tencent, between January 2017 and February 2018. In March 2018, the team responsibly disclosed 14 different vulnerabilities directly to the BMW Group, which affects its vehicles since at least 2012. These are the same group of researchers who have previously found multiple vulnerabilities in various in-car modules used by Tesla , that could have been exploited to achieve remote controls on a target car. Now that BMW started rolling out patches for the vulnerabilities to car owners, the researchers have gone public with a 26-page technical report [ PDF ] describing their findings, though they avoided publishing some important t

Security researchers from Microsoft and Google have discovered a fourth variant of the data-leaking Meltdown-Spectre security flaws impacting modern CPUs in millions of computers, including those marketed by Apple. Variant 4 comes weeks after German computer magazine Heise reported about a set of eight Spectre-class vulnerabilities in Intel CPUs and a small number of ARM processors, which may also impact AMD processor architecture as well. Variants 1 and 2 (CVE-2017-5753 and CVE-2017-5715), known as Spectre, and Variant 3 (CVE-2017-5754), known as Meltdown, are three processor vulnerabilities disclosed by Google Project Zero researchers in January this year. Now, Microsoft and Google researchers have disclosed Variant 4 (CVE-2018-3639), dubbed Speculative Store Bypass , which is a similar Spectre variant that takes advantage of speculative execution that modern CPUs use to potentially expose sensitive data through a side channel. Speculative execution is a core component

Imagine a world where the software that powers your favorite apps, secures your online transactions, and keeps your digital life could be outsmarted and taken over by a cleverly disguised piece of code. This isn't a plot from the latest cyber-thriller; it's actually been a reality for years now. How this will change – in a positive or negative direction – as artificial intelligence (AI) takes on a larger role in software development is one of the big uncertainties related to this brave new world. In an era where AI promises to revolutionize how we live and work, the conversation about its security implications cannot be sidelined. As we increasingly rely on AI for tasks ranging from mundane to mission-critical, the question is no longer just, "Can AI  boost cybersecurity ?" (sure!), but also "Can AI  be hacked? " (yes!), "Can one use AI  to hack? " (of course!), and "Will AI  produce secure software ?" (well…). This thought leadership article is about the latter. Cydrill  (a

Widespread routers' DNS hijacking malware that recently found targeting Android devices has now been upgraded its capabilities to target iOS devices as well as desktop users. Dubbed Roaming Mantis , the malware was initially found hijacking Internet routers last month to distribute Android banking malware designed to steal users' login credentials and the secret code for two-factor authentication. According to security researchers at Kaspersky Lab s, the criminal group behind the Roaming Mantis campaign has broadened their targets by adding phishing attacks for iOS devices, and cryptocurrency mining script for PC users. Moreover, while the initial attacks were designed to target users from South East Asia–including South Korea, China Bangladesh, and Japan–the new campaign now support 27 languages to expand its operations to infect people across Europe and the Middle East. How the Roaming Mantis Malware Works Similar to the previous version, the new Roaming Mantis

Last week, we reported about the first network-based remote Rowhammer attack, dubbed Throwhammer , which involves the exploitation a known vulnerability in DRAM through network cards using remote direct memory access (RDMA) channels. However, a separate team of security researchers has now demonstrated a second network-based remote Rowhammer technique that can be used to attack systems using uncached memory or flush instruction while processing the network requests. The research was carried out by researchers who discovered Meltdown and Spectre CPU vulnerabilities, which is independent of the Amsterdam researchers who presented a series of Rowhammer attacks, including Throwhammer published last week. If you are unaware, Rowhammer is a critical issue with recent generation dynamic random access memory (DRAM) chips in which repeatedly accessing a row of memory can cause "bit flipping" in an adjacent row, allowing attackers to change the contents of the memory. The

For the second time in less than a week, users of the popular end-to-end encrypted Signal messaging app have to update their desktop applications once again to patch another severe code injection vulnerability. Discovered Monday by the same team of security researchers, the newly discovered vulnerability poses the same threat as the previous one, allowing remote attackers to inject malicious code on the recipients' Signal desktop app just by sending them a message—without requiring any user interaction. To understand more about the first code injection vulnerability ( CVE-2018-10994 ), you can read our previous article covering how researchers find the Signal flaw and how it works. The only difference between the two is that the previous flaw resides in the function that handles links shared in the chat, whereas the new vulnerability (CVE-2018-11101) exists in a different function that handles the validation of quoted messages, i.e., quoting a previous message in a reply

A Google security researcher has discovered a critical remote command injection vulnerability in the DHCP client implementation of Red Hat Linux and its derivatives like Fedora operating system. The vulnerability, tracked as CVE-2018-1111 , could allow attackers to execute arbitrary commands with root privileges on targeted systems. Whenever your system joins a network, it's the DHCP client application which allows your system to automatically receive network configuration parameters, such as an IP address and DNS servers, from the DHCP (Dynamic Host Control Protocol) server. The vulnerability resides in the NetworkManager integration script included in the DHCP client packages which is configured to obtain network configuration using the DHCP protocol. Felix Wilhelm from the Google security team found that attackers with a malicious DHCP server, or connected to the same network as the victim, can exploit this flaw by spoofing DHCP responses, eventually allowing them to run