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A fake ChatGPT-branded Chrome browser extension has been found to come with capabilities to hijack Facebook accounts and create rogue admin accounts, highlighting one of the different methods cyber criminals are using to distribute malware. "By hijacking high-profile Facebook business accounts, the threat actor creates an elite army of Facebook bots and a malicious paid media apparatus," Guardio Labs researcher Nati Tal  said  in a technical report. "This allows it to push Facebook paid ads at the expense of its victims in a self-propagating worm-like manner." The "Quick access to Chat GPT" extension, which is said to have attracted 2,000 installations per day since March 3, 2023, has since been pulled by Google from the Chrome Web Store as of March 9, 2023. The browser add-on is promoted through Facebook-sponsored posts, and while it offers the ability to connect to the ChatGPT service, it's also engineered to surreptitiously harvest cookies and

The use of AI in cybersecurity is growing rapidly and is having a significant impact on threat detection, incident response, fraud detection, and vulnerability management. According to a report by Juniper Research, the use of AI for fraud detection and prevention is expected to save businesses $11 billion annually by 2023. But how to integrate AI into business cybersecurity infrastructure without being exposed to hackers? In terms of detecting and responding to security threats in a more efficient and effective manner, AI has been helping businesses in lots of ways.  Firstly, it can analyze large amounts of data and identify patterns or anomalies much faster and with greater accuracy than humans. AI detects and responds to security threats in real-time, reducing the time it takes to identify and remediate security incidents. The algorithms can learn from past incidents and adapt to new threats as they emerge. With it, cybersecurity systems can become smarter and more effective ove

When it comes to ensuring the security of your APIs, there are four critical capabilities.

Security teams at mid-sized organizations are constantly faced with the question of "what does success look like?". At ActZero, their continued data-driven approach to cybersecurity invites them to grapple daily with measuring, evaluating, and validating the work they do on behalf of their customers.  Like most, they initially turned toward the standard metrics used in cybersecurity, built around a "Mean Time to X" (MTTX) formula, where X indicates a specific milestone in the attack lifecycle. In this formula, these milestones include factors like Detect, Alert, Respond, Recover, or even Remediate when necessary. However, as they started to operationalize their unique  AI and machine-learning approach , they realized that "speed" measures weren't giving them a holistic view of the story. More importantly, simply measuring just speed wasn't as applicable in an industry where machine-driven alerts and responses were happening in fractions of secon

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 be using ML to improve its targeting. Then earlier t

Within the next decade, artificial intelligence is likely to play a significant role in our everyday lives. Machine learning already powers image recognition, self-driving cars, and Netflix recommendations. For any aspiring developer, learning how to code smart software is a good move. These skills are highly valued in tech, finance, sales, marketing, and many other sectors. The Hacker News recently partnered with professional trainers to offer their popular artificial intelligence online training programs at hugely discounted prices. The " Essential AI & Machine Learning Certification Training Bundle ," the program aims to help you explore the technology, with four hands-on video courses working towards certification: Artificial Intelligence (AI) and Machine Learning (ML) Foundation ⁠— Explore the Field of AI & ML and Develop Your Expertise in Neural Network & Deep Architectures Data Visualization with Python and Matplotlib ⁠— Arrange Critical &

Cybersecurity has been regarded as a necessity for all computer users, especially today when data breaches and malware attacks have become rampant. However, one of the more overlooked aspects of cybersecurity is the prevention of other forms of cybercrime, such as the spread of harmful content and predatory behavior. Most current discussions on cybersecurity revolve around organizations needing to protect customer data or for individual users to prevent their sensitive data from being intercepted. However, given the prevalence of toxic behavior, it's about time the cybersecurity community also gives internet safety, especially for children and younger users, its due attention. Israel-based startup L1ght aims to curb the spread of bad behavior online. It uses artificial intelligence (AI) and machine learning (ML) to detect harmful content, hate speech, bullying, and other predatory behavior in social networks, communication applications, and online video games. The firm

What could be more exciting than seeing yourself starring alongside your favorite actor in a movie, music video, or TV program? Yes, that's possible—well, kind of, by using a new AI-based deepfake app that has gone viral in China over this weekend, climbing to the top of the free apps list in the Chinese iOS App Store in just three days. Dubbed ZAO , the app is yet another deepfake app for iPhone that lets you superimpose your face onto actors like Leonardo DiCaprio, Kit Harrington from "Game of Thrones," and many others in video clips from their popular movies and TV shows with just a selfie uploaded by you. Developed by Chinese developer MoMo, one of China's most popular dating apps, ZAO was released on Friday (August 30) and rapidly got downloaded millions of times with users being excited about the experience for the app's realistic face-swapping videos that last for as little as 8 seconds. ZAO Deepfake Face Swap App Sparks Privacy Outcry Howeve

FaceApp—the AI-powered photo-morphing app that recently gone viral for its age filter but hit the headlines for its controversial privacy policy—has been found collecting the list of your Facebook friends for no reason. The Russian-made FaceApp has been around since the spring of 2017 but taken social media by storm over the course of the past few weeks as millions of people downloaded the app to see how they would look when they are older or younger, or swap genders. The app also contains a feature that allows users to download and edit photos from their Facebook accounts, which only works when a user enables FaceApp to access the social media account via the 'Login with Facebook' option. As you can see in the screenshot above, besides requesting for access to your basic profile information and photos, FaceApp also fetches the list of your Facebook friends "who also use and have shared their friends' lists with FaceApp." Have you yet asked yourself why

Looking for an automated malware analysis software? Something like a 1-click solution that doesn't require any installation or configuration…a platform that can scale up your research time… technology that can provide data-driven explanations… well, your search is over! Israeli cybersecurity and malware researchers today at Black Hat conference launch a revolutionary machine learning and artificial intelligence-powered malware researcher platform that aims to help users identify unknown malware samples before they strike. Dubbed SNDBOX , the free online automated malware analysis system allows anyone to upload a file and access its static, dynamic and network analysis in an easy-to-understand graphical interface. The loss due to malware attacks is reported to be more than $10 billion every year, and it's increasing. Despite the significant improvement of cyber security mechanisms, malware is still a powerful and effective tool used by hackers to compromise systems because of

Artificial Intelligence (AI) has been seen as a potential solution for automatically detecting and combating malware, and stop cyber attacks before they affect any organization. However, the same technology can also be weaponized by threat actors to power a new generation of malware that can evade even the best cyber-security defenses and infects a computer network or launch an attack only when the target's face is detected by the camera. To demonstrate this scenario, security researchers at IBM Research came up with DeepLocker —a new breed of "highly targeted and evasive" attack tool powered by AI," which conceals its malicious intent until it reached a specific victim. According to the IBM researcher, DeepLocker flies under the radar without being detected and "unleashes its malicious action as soon as the AI model identifies the target through indicators like facial recognition, geolocation and voice recognition." Describing it as the "sp

Global entertainment ticketing service Ticketmaster has admitted that the company has suffered a security breach, warning customers that their personal and payment information may have been accessed by an unknown third-party. The company has blamed a third-party support customer service chat application for the data breach that believed to affect tens of thousands of its customers. The customer support chat application, made by Inbenta Technologies—a third-party artificial intelligence tech supplier—used to help major websites interact with their customers. In its statement , Ticketmaster said it discovered malicious software on the customer support application hosted on its UK website that allowed attackers to extract the personal and payment information from its customers buying tickets. Ticketmaster disabled the Inbenta product across all of its websites as soon as it recognized the malicious code. However, Inbenta Technologies turned away blame back to Ticketmaster, sa

Remember BlueBorne? A series of recently disclosed critical Bluetooth flaws that affect billions of Android, iOS, Windows and Linux devices have now been discovered in millions of AI-based voice-activated personal assistants, including Google Home and Amazon Echo . As estimated during the discovery of this devastating threat, several IoT and smart devices whose operating systems are often updated less frequently than smartphones and desktops are also vulnerable to BlueBorne. BlueBorne is the name given to the sophisticated attack exploiting a total of eight Bluetooth implementation vulnerabilities that allow attackers within the range of the targeted devices to run malicious code, steal sensitive information, take complete control, and launch man-in-the-middle attacks. What's worse? Triggering the BlueBorne exploit doesn't require victims to click any link or open any file—all without requiring user interaction. Also, most security products would likely not be abl

Microsoft is making every effort to make its Windows operating system more secure and advanced than ever before by beefing up its security practices and hardening it against hackers and cyber attacks in its next release. With the launch of its Windows 10 Creator Update (also known as RedStone 3), which is expected to release sometime between September and October 2017, Microsoft is planning to release lots of security features in an effort to prevent major global malware crisis. Just a few days ago, we reported about Microsoft's plan to build its EMET or Enhanced Mitigation Experience Toolkit into the kernel of the upcoming Windows 10 to boost the security of your computer against complex threats such as zero-day vulnerabilities. Also, the tech giant has planned to remove the SMBv1 (Server Message Block version 1) — a 30-year-old file sharing protocol which came to light last month after the devastating WannaCry outbreak — from the upcoming Windows 10 (1709) Redstone 3

2017 is the year of Artificial Intelligence (A.I.), Big Data, Virtual Reality (VR) and Cyber Security with major companies like Google, Facebook, Apple, IBM and Salesforce and technology pioneers like SpaceX founder Elon Musk investing in these hot technologies. Since everyone seems to be talking about the hottest trend — artificial intelligence and machine learning — broadly, 62 percent of large enterprises will be using AI technologies by 2018, says a report from Narrative Science. But why AI is considered to be the next big technology? Because it can enhance and change everything about the way we think, interact, manufacture and deliver. Last year, we saw a significant number of high-profile hacks targeting big organizations, governments, small enterprises, and individuals — What's more worrisome? It's going to get worse, and we need help. No doubt, we, the human, can find vulnerabilities but can not analyze millions of programs with billions of lines of codes at o