Auteur/autrice : noflux (Page 69 of 620)

“We recently discovered a new strain of Android malware. The Trojan (detected as: Trojan-Spy.AndroidOS.Cookiethief) turned out to be quite simple. Its main task was to acquire root rights on the victim device, and transfer cookies used by the browser and Facebook app to the cybercriminals’ server. This abuse technique is possible not because of a vulnerability in Facebook app or browser itself. Malware could steal cookie files of any website from other apps in the same way and achieve similar results.”

Source : Cookiethief: a cookie-stealing Trojan for Android | Securelist

a woman retrieving info from file catalouge

“For well over a decade, identity thieves, phishers, and other online scammers have created a black market of stolen and aggregated consumer data that they used to break into people’s accounts, steal their money, or impersonate them. In October, dark web researcher Vinny Troia found one such trove sitting exposed and easily accessible on an unsecured server, comprising 4 terabytes of personal information—about 1.2 billion records in all.”

Source : 1.2 Billion Records Found Exposed Online in a Single Server  | WIRED

https://no-flux.beaude.net/wp-content/uploads/2020/03/1582126936038-credit-card.jpeg

“Yodlee, the largest financial data broker in the U.S., sells data pulled from the bank and credit card transactions of tens of millions of Americans to investment and research firms, detailing where and when people shopped and how much they spent. The company claims that the data is anonymous, but a confidential Yodlee document obtained by Motherboard indicates individual users could be unmasked.”

Source : Leaked Document Shows How Big Companies Buy Credit Card Data on Millions of Americans – VICE

“Sensor Tower, a popular analytics platform for tech developers and investors, has been secretly collecting data from millions of people who have installed popular VPN and ad-blocking apps for Android and iOS, a BuzzFeed News investigation has found. These apps, which don’t disclose their connection to the company or reveal that they feed user data to Sensor Tower’s products, have more than 35 million downloads.”

Source : Sensor Tower Secretly Owns Ad Blocker And VPN Apps That Collect User Data

Selon une étude réalisée en 2018 par l’éducation nationale, 9 % des lycéens affirment avoir été « victimes de vidéos, de photos ou de rumeurs humiliantes sur Internet ».

“Contactée, l’éducation nationale invoque un « protocole de prise en charge ». « Quand un élève est harcelé, il peut aller voir la personne en qui il a confiance », assure-t-on au ministère. Problème : dans les faits, le revenge porn n’est souvent pas considéré comme du harcèlement stricto sensu. Le protocole idoine n’est donc pas activé : « Il intervient s’il y a une notion de répétition, par exemple si des photos intimes étaient diffusées à plusieurs reprises », précise Olivier Raluy, CPE dans un collège et secrétaire national du Syndicat national des enseignements de second degré (SNES-FSU).”

Source : Le « revenge porn », pratique « banale » et hors de contrôle chez les élèves

MIT researchers used a machine-learning algorithm to identify a drug called halicin that kills many strains of bacteria. Halicin (top row) prevented the development of antibiotic resistance in E. coli, while ciprofloxacin (bottom row) did not.

“Using a machine-learning algorithm, MIT researchers have identified a powerful new antibiotic compound. In laboratory tests, the drug killed many of the world’s most problematic disease-causing bacteria, including some strains that are resistant to all known antibiotics. It also cleared infections in two different mouse models. The computer model, which can screen more than a hundred million chemical compounds in a matter of days, is designed to pick out potential antibiotics that kill bacteria using different mechanisms than those of existing drugs.”

Source : Artificial intelligence yields new antibiotic | MIT News

Google Vision API

“Google notes in its own AI principles that algorithms and datasets can reinforce bias: ‘We will seek to avoid unjust impacts on people, particularly those related to sensitive characteristics such as race, ethnicity, gender, nationality, income, sexual orientation, ability, and political or religious belief.’ Google invited affected developers to comment on its discussion forums. Only one developer had commented at the time of writing, and complained the change was down to ‘political correctness.’ ‘I don’t think political correctness has room in APIs,’ the person wrote. ‘If I can 99% of the times identify if someone is a man or woman, then so can the algorithm. You don’t want to do it? Companies will go to other services.’”

Source : Google AI will no longer use gender labels like ‘woman’ or ‘man’ on images of people to avoid bias

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