'Intel's latest patches "stomped out three high-severity vulnerabilities and five medium-severity flaws," reports Threatpost: One of the more serious vulnerabilities exist in the Intel Processor Identification Utility for Windows, free software that users can install on their Windows machines to identify the actual specification of their processors. The flaw (CVE-2019-11163) has a score of 8.2 out of 10 on the CVSS scale, making it high severity. It stems from insufficient access control in a hardware abstraction driver for the software, versions earlier than 6.1.0731. This glitch "may allow an authenticated user to potentially enable escalation of privilege, denial of service or information disclosure via local access" according to Intel. Users are urged to update to version 6.1.0731. Intel stomped out another high-severity vulnerability in its Computing Improvement Program, which is program that Intel users can opt into that uses information about participants' computer performance to make product improvement and detect issues. However, the program contains a flaw (CVE-2019-11162) in the hardware abstraction of the SEMA driver that could allow escalation of privilege, denial of service or information disclosure... A final high-severity flaw was discovered in the system firmware of the Intel NUC (short for Next Unit of Computing), a mini-PC kit used for gaming, digital signage and more. The flaw (CVE-2019-11140) with a CVSS score of 7.5 out of 10, stems from insufficient session validation in system firmware of the NUC. This could enable a user to potentially enable escalation of privilege, denial of service and information disclosure. An exploit of the flaw would come with drawbacks -- a bad actor would need existing privileges and local access to the victim system. The article notes that the patches "come on the heels of a new type of side-channel attack revealed last week impacting millions of newer Intel microprocessors manufactured after 2012."' -- source: https://it.slashdot.org/story/19/08/18/0030201 Cheers, Peter -- Peter Reutemann Dept. of Computer Science University of Waikato, NZ +64 (7) 858-5174 http://www.cms.waikato.ac.nz/~fracpete/ http://www.data-mining.co.nz/