A new security shortcoming discovered in Apple M-series chips could be exploited to extract secret keys used during cryptographic operations.
Dubbed GoFetch, the vulnerability relates to a microarchitectural side-channel attack that takes advantage of a feature known as data memory-dependent prefetcher (DMP) to target constant-time cryptographic implementations and capture sensitive data
A group of researchers has discovered a new data leakage attack impacting modern CPU architectures supporting speculative execution.
Dubbed GhostRace (CVE-2024-2193), it is a variation of the transient execution CPU vulnerability known as Spectre v1 (CVE-2017-5753). The approach combines speculative execution and race conditions.
"All the common synchronization primitives implemented
Cybersecurity researchers have found that third-party plugins available for OpenAI ChatGPT could act as a new attack surface for threat actors looking to gain unauthorized access to sensitive data.
According to new research published by Salt Labs, security flaws found directly in ChatGPT and within the ecosystem could allow attackers to install malicious plugins without users' consent
A novel side-channel attack called GPU.zip renders virtually all modern graphics processing units (GPU) vulnerable to information leakage.
"This channel exploits an optimization that is data dependent, software transparent, and present in nearly all modern GPUs: graphical data compression," a group of academics from the University of Texas at Austin, Carnegie Mellon University, University of
Cybersecurity researchers have disclosed details of a trio of side-channel attacks that could be exploited to leak sensitive data from modern CPUs.
Called Collide+Power (CVE-2023-20583), Downfall (CVE-2022-40982), and Inception (CVE-2023-20569), the novel methods follow the disclosure of another newly discovered security vulnerability affecting AMD's Zen 2 architecture-based processors known as
A group of academics has devised a "deep learning-based acoustic side-channel attack" that can be used to classify laptop keystrokes that are recorded using a nearby phone with 95% accuracy.
"When trained on keystrokes recorded using the video conferencing software Zoom, an accuracy of 93% was achieved, a new best for the medium," researchers Joshua Harrison, Ehsan Toreini, and Maryam Mehrnezhad
In what's an ingenious side-channel attack, a group of academics has found that it's possible to recover secret keys from a device by analyzing video footage of its power LED.
"Cryptographic computations performed by the CPU change the power consumption of the device which affects the brightness of the device's power LED," researchers from the Ben-Gurion University of the Negev and Cornell
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