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Free Facial Recognition Tool Can Track People Across Social Media Sites

Free Facial Recognition Tool Can Track People Across Social Media Sites

Aug 09, 2018
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
Apple iPhone X's Face ID Hacked (Unlocked) Using 3D-Printed Mask

Apple iPhone X's Face ID Hacked (Unlocked) Using 3D-Printed Mask

Nov 13, 2017
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
How to Achieve the Best Risk-Based Alerting (Bye-Bye SIEM)

How to Achieve the Best Risk-Based Alerting (Bye-Bye SIEM)

Feb 19, 2024Network Detection and Response
Did you know that Network Detection and Response (NDR) has become the most effective technology to detect cyber threats? In contrast to SIEM, NDR offers adaptive cybersecurity with reduced false alerts and efficient threat response. Are you aware of  Network Detection and Response (NDR)  and how it's become the most effective technology to detect cyber threats?  NDR massively upgrades your security through risk-based alerting, prioritizing alerts based on the potential risk to your organization's systems and data. How? Well, NDR's real-time analysis, machine learning, and threat intelligence provide immediate detection, reducing alert fatigue and enabling better decision-making. In contrast to SIEM, NDR offers adaptive cybersecurity with reduced false positives and efficient threat response. Why Use Risk-Based Alerting? Risk-based alerting is an approach where security alerts and responses are prioritized based on the level of risk they pose to an organization's system
Police Scan 117 Million Driving Licence Photos for Face Recognition Database

Police Scan 117 Million Driving Licence Photos for Face Recognition Database

Oct 19, 2016
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
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Are You Vulnerable to Third-Party Breaches Through Interconnected SaaS Apps?

websiteWing SecuritySaaS Security / Risk Management
Protect against cascading risks by identifying and mitigating app2app and third-party SaaS vulnerabilities.
Facebook's latest feature Alerts You if Someone Impersonates Your Profile

Facebook's latest feature Alerts You if Someone Impersonates Your Profile

Mar 26, 2016
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
Facebook Can Recognize You Even if You Don't Show Your Face

Facebook Can Recognize You Even if You Don't Show Your Face

Jun 26, 2015
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
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