Audio Fingerprinting | Breaking Cybersecurity News | The Hacker News

Have you ever felt Facebook is showing you very relevant ads about topics you're only discussing around your phone? If yes, then you may find this news worth reading. Communications Professor Kelli Burns from the University of South Florida claims that Facebook is listening to all conversations people have while its app is open to serve more relevant ads for products related to what they are talking about. However, the social networking giant responds  it does listen to audio and collect information from users, but does not record or use sounds heard around people for targeted ads. " Facebook does not use microphone audio to inform advertising or News Feed stories in any way ," a Facebook spokesperson said. " Businesses are able to serve relevant ads based on people's interests and other demographic information, but not through audio collection. " Facebook rolled out a feature in May of 2014 when the company said that it might target ads " in t

Despite browsing incognito, blocking advertisements, or hiding your tracks, some websites monitor and track your every move online using a new web-tracking technique called Audio Fingerprinting . This new fingerprinting technique can be utilized by technology and marketing companies to deliver targeted advertisements as well as by law enforcement to unmask VPN or Anonymous users, without even decrypting the traffic. Researchers at Princeton University have conducted a massive privacy survey and discovered that Google, through its multiple domains, is tracking users on nearly 80 percent of all Top 1 Million Domains using the variety of tracking and identification techniques. Out of them, the newest tracking technology unearthed by the researchers is the one based on fingerprinting a machine's audio stack through the AudioContext API . "All of the top five third-parties, as well as 12 of the top 20, are Google-owned domains," the researchers note. "In fact, Goog

Identities now transcend human boundaries. Within each line of code and every API call lies a non-human identity. These entities act as programmatic access keys, enabling authentication and facilitating interactions among systems and services, which are essential for every API call, database query, or storage account access. As we depend on multi-factor authentication and passwords to safeguard human identities, a pressing question arises: How do we guarantee the security and integrity of these non-human counterparts? How do we authenticate, authorize, and regulate access for entities devoid of life but crucial for the functioning of critical systems? Let's break it down. The challenge Imagine a cloud-native application as a bustling metropolis of tiny neighborhoods known as microservices, all neatly packed into containers. These microservices function akin to diligent worker bees, each diligently performing its designated task, be it processing data, verifying credentials, or