face recognition technology | Breaking Cybersecurity News | The Hacker News

Security researchers at Trustwave have released a new open-source tool that uses facial recognition technology to locate targets across numerous social media networks on a large scale. Dubbed Social Mapper, the facial recognition tool automatically searches for targets across eight social media platforms, including—Facebook, Instagram, Twitter, LinkedIn, Google+, the Russian social networking site VKontakte, and China's Weibo and Douban—based on their names and pictures. The tool's creators claim they developed Social Mapper intelligence-gathering tool predominantly to help pen testers and red teamers with social engineering attacks. Although the searches of names and pictures can already be performed manually, Social Mapper makes it possible to automate such scans far faster and "on a mass scale with hundreds or thousands of individuals" at once. "Performing intelligence gathering online is a time-consuming process, it typically starts by attempting to

Just a week after Apple released its brand new iPhone X on November 3, a team of hackers has claimed to successfully hack Apple's Face ID facial recognition technology with a mask that costs less than $150. Yes, Apple's "ultra-secure" Face ID security for the iPhone X is not as secure as the company claimed during its launch event in September this year. "Apple engineering teams have even gone and worked with professional mask makers and makeup artists in Hollywood to protect against these attempts to beat Face ID," Apple's senior VP of worldwide marketing Phil Schiller said about Face ID system during the event. "These are actual masks used by the engineering team to train the neural network to protect against them in Face ID." However, the bad news is that researchers from Vietnamese cybersecurity firm Bkav were able to unlock the iPhone X using a mask. Yes, Bkav researchers have a better option than holding it up to your face whi

Super Low RPO with Continuous Data Protection: Dial Back to Just Seconds Before an Attack Zerto , a Hewlett Packard Enterprise company, can help you detect and recover from ransomware in near real-time. This solution leverages continuous data protection (CDP) to ensure all workloads have the lowest recovery point objective (RPO) possible. The most valuable thing about CDP is that it does not use snapshots, agents, or any other periodic data protection methodology. Zerto has no impact on production workloads and can achieve RPOs in the region of 5-15 seconds across thousands of virtual machines simultaneously. For example, the environment in the image below has nearly 1,000 VMs being protected with an average RPO of just six seconds! Application-Centric Protection: Group Your VMs to Gain Application-Level Control   You can protect your VMs with the Zerto application-centric approach using Virtual Protection Groups (VPGs). This logical grouping of VMs ensures that your whole applica

Your driver's license photo could be scarier than it actually looks — Well, here's why: With the help of state driver's license data, U.S. law enforcement agencies have created a huge a face-recognition database of more than 117 Million American adults that are regularly scanned in the course of police investigations. What's even worse? Most of those people who are scanned by police without prior knowledge are law-abiding citizens. According to a 150-page study published Tuesday by the Center for Privacy & Technology at the Georgetown University, ID photographs of more than 117 Million adult US citizens — that's about half of the US population — are now part of the " Perpetual Line-up ," which can be searched using facial-recognition software. In the past few years, Facial Recognition technology has improved enormously. Even big technology companies like Facebook have developed so powerful facial recognition software that they can even ide

Online harassment has been elevated a step with the advent of popular social networks like Facebook. Cyber stalkers create fake profiles impersonating other Facebook users and start doing activities on their behalf until and unless the owners notice the fake profiles and manually report it to Facebook. Even in some cases, cyber stalkers block the Facebook account holders whom they impersonate in order to carry out mischievous tasks through fake profiles without being detected by the actual account holders. But now, online criminals can no longer fool anyone with impersonation method, as Facebook is currently working on a feature that automatically informs its 1.6 Billion user base about the cloned accounts. If the company detects a duplicate Facebook account of a user, it will automatically send an alert to the original account holder, who'll be prompted to identify if the profile in question is indeed a fake profile impersonating you or if it actually belongs t

Well, this is incredible and scary both at the same time. Forget about "facial" recognition; Facebook's newest technology is way good at identifying you in photos even without the need to see your face . The New Scientist is reporting about the Facebook's new "experimental" facial recognition algorithm which is so powerful that it can identify you in photos even when your faces are hidden. Instead, the Facebook's extremely accurate facial recognition algorithm uses other unique characteristics — such as your hairstyle, your body shape, your body language, your clothing and how you carry yourself — to identify that it's you. Facebook's New Facial Recognition Technology - 83% Accurate Facebook's artificial intelligence lab is working on this technology and, according to the head of artificial intelligence at Facebook Yann Lecun , the experimental algorithm is currently able to identify individuals with 83% accuracy, even if