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Many companies rely on Endpoint Detection and Response (EDR) solutions as their primary security tool to protect their organizations against cyber threats. EDR was introduced around eight years ago, and analysts now peg the EDR market size as $1.5 to $2.0 billion in annual revenue globally, expecting it to quadruple over the next five years. The recent introduction of Extended Detection and Response (XDR) solutions, however, will certainly cut into a significant portion of that spend. A new provocative eBook: " 5 Questions to Determine: Is Your EDR Providing the Best Bang for Your Buck?"  ( Download here ) helps security executives who currently use an EDR solution determine if they're continuing to get their "bang for the buck" from their EDR provider when compared to newer, equally-priced technologies as XDR. It's also an excellent resource for companies who are in the steps of choosing an EDR solution to deploy. A live webinar around the same topic wi...

Efforts to disrupt TrickBot may have  shut down  most of its critical infrastructure, but the operators behind the notorious malware aren't sitting idle. According to new findings shared by cybersecurity firm  Netscout , TrickBot's authors have moved portions of their code to Linux in an attempt to widen the scope of victims that could be targeted. TrickBot, a financial Trojan first detected in 2016, has been traditionally a Windows-based crimeware solution, employing different modules to perform a wide range of malicious activities on target networks, including credential theft and perpetrate ransomware attacks. But over the past few weeks, twin efforts led by the US Cyber Command and Microsoft have helped to  eliminate 94%  of TrickBot's command-and-control (C2) servers that were in use and the new infrastructure the criminals operating TrickBot attempted to bring online to replace the previously disabled servers. Despite the steps taken to impede TrickB...

Google has stepped in to remove several Android applications from the official Play Store following the disclosure that the apps in question were found to serve intrusive ads. The findings were  reported  by the Czech cybersecurity firm Avast on Monday, which said the 21 malicious apps (list  here ) were downloaded nearly eight million times from Google's app marketplace. The apps masqueraded as harmless gaming apps and came packed with  HiddenAds  malware, a notorious Trojan known for its capabilities to serve intrusive ads outside of the app. The group behind the operation relies on social media channels to lure users into downloading the apps. Earlier this June, Avast discovered a  similar HiddenAds campaign  involving 47 gaming apps with over 15 million downloads that were leveraged to display device-wide intrusive ads. "Developers of adware are increasingly using social media channels, like regular marketers would," Avast's Jakub Vávra said....

Cybersecurity researchers over the weekend disclosed new security risks associated with link previews in popular messaging apps that cause the services to leak IP addresses, expose links sent via end-to-end encrypted chats, and even unnecessarily download gigabytes of data stealthily in the background. "Links shared in chats may contain private information intended only for the recipients," researchers Talal Haj Bakry and Tommy Mysk  said . "This could be bills, contracts, medical records, or anything that may be confidential." "Apps that rely on servers to generate link previews may be violating the privacy of their users by sending links shared in a private chat to their servers." Generating Link Previews at the Sender/Receiver Side Link previews are a common feature in most chat apps, making it easy to display a visual preview and a brief description of the shared link. Although apps like  Signal  and  Wire  give users the option to turn on/off l...

Microsoft, in collaboration with MITRE, IBM, NVIDIA, and Bosch, has released a  new open framework  that aims to help security analysts detect, respond to, and remediate adversarial attacks against machine learning (ML) systems. Called the  Adversarial ML Threat Matrix , the initiative is an attempt to organize the different techniques employed by malicious adversaries in subverting ML systems. Just as artificial intelligence (AI) and ML are being deployed in a wide variety of novel applications, threat actors can not only  abuse the technology  to power their malware but can also leverage it to  fool machine learning models  with poisoned datasets, thereby causing beneficial systems to make incorrect decisions, and pose a threat to stability and safety of AI applications. Indeed, ESET researchers last year found  Emotet  — a notorious  email-based malware  behind several botnet-driven spam campaigns and ransomware attacks — to...