'Catalin Cimpanu, reporting for The Record: A fully weaponized exploit for the Spectre CPU vulnerability was uploaded on the malware-scanning website VirusTotal last month, marking the first time a working exploit capable of doing actual damage has entered the public domain. The exploit was discovered by French security researcher Julien Voisin. It targets Spectre, a major vulnerability that was disclosed in January 2018. [...] The vulnerability, which won a Pwnie Award in 2018 for one of the best security bug discoveries of the year, was considered a milestone moment in the evolution and history of the modern CPU. Its discovery, along with the Meltdown bug, effectively forced CPU vendors to rethink their approach to designing processors, making it clear that they cannot focus on performance alone, to the detriment of data security. Software patches were released at the time, but the Meltdown and Spectre disclosures forced Intel to rethink its entire approach to CPU designs going forward. At the time, the teams behind the Meltdown and Spectre bugs published their work in the form of research papers and some trivial proof-of-concept code to prove their attacks. Shortly after the Meltdown and Spectre publications, experts at AV-TEST, Fortinet, and Minerva Labs spotted a spike in VirusTotal uploads for both CPU bugs. While initially there was a fear that malware authors might be experimenting with the two bugs as a way to steal data from targeted systems, the exploits were classified as harmless variations of the public PoC code published by the Meltdown and Spectre researchers and no evidence was found of in-the-wild attacks. But today, Voisin said he discovered new Spectre exploits -- one for Windows and one for Linux -- different from the ones before. In particular, Voisin said he found a Linux Spectre exploit capable of dumping the contents of /etc/shadow, a Linux file that stores details on OS user accounts.' -- source: https://it.slashdot.org/story/21/03/01/1851240 Cheers, Peter -- Peter Reutemann Dept. of Computer Science University of Waikato, NZ +64 (7) 577-5304 http://www.cms.waikato.ac.nz/~fracpete/ http://www.data-mining.co.nz/