Pietro Frigo

The issue is related to cleanup errors in some Intel(R) processors, which may allow an authenticated user to potentially enable information disclosure via local access. This is connected to a leak in the store buffer of results from reading vector registers, which are modified during the execution of vector instructions. An attacker could exploit this to disclose protected information.

The issue is related to cleanup errors in some data cache evictions for some Intel(R) Processors, which may allow an authenticated user to potentially enable information disclosure via local access. This is caused by a data leak from the L1D cache. The vulnerability can be exploited to disclose protected information. Researchers have found a new speculative execution vulnerability in Intel CPUs that could let attackers leak targeted sensitive data from the OS kernel, co-resident virtual machines, and even from Intel's secured SGX enclave.

The issue is related to Microarchitectural Data Sampling Uncacheable Memory (MDSUM) on some microprocessors that utilize speculative execution. This may allow an authenticated user with local access to potentially enable information disclosure via a side channel. An attacker with local access to a targeted system may exploit this issue to obtain data on the targeted system, causing some information leakage.

The issue is related to Microarchitectural Load Port Data Sampling (MLPDS), which may allow an authenticated user to potentially enable information disclosure via a side channel with local access. This is due to the incorrect implementation of saving outdated operation results in the load port table. The exploitation of this issue can allow an attacker to access confidential information.

The issue is related to Microarchitectural Fill Buffer Data Sampling (MFBDS), which may allow an authenticated user to potentially enable information disclosure via a side channel with local access. This is due to the speculative execution utilized by some microprocessors.

Name of the Vulnerable Software and Affected Versions: No specific software or versions are mentioned. Description: A hardware vulnerability in GPU memory modules enables attackers to accelerate micro-architectural attacks through the use of the JavaScript WebGL API. Recommendations: At the moment, there is no information about a newer version that contains a fix for this vulnerability.