Security News
Researchers at cybersecurity research and consulting firm Trail of Bits have discovered a vulnerability that could allow attackers to read GPU local memory from affected Apple, Qualcomm, AMD and Imagination GPUs. In particular, the vulnerability-which the researchers named LeftoverLocals-can access conversations performed with large language models and machine learning models on affected GPUs.
Research made public on Tuesday detailed how miscreants can exploit the hole to read data they're not supposed to in a system's local GPU memory. While the flaw potentially affects all GPU applications on vulnerable chips, it is especially concerning for those processing machine-learning applications because of the amount of data these models process using GPUs, and therefore the amount of potentially sensitive information that could be swiped by exploiting this issue.
A new vulnerability dubbed 'LeftoverLocals' affecting graphics processing units from AMD, Apple, Qualcomm, and Imagination Technologies allows retrieving data from the local memory space. [...]
Researchers from the Vrije Universiteit Amsterdam have disclosed a new side-channel attack called SLAM that could be exploited to leak sensitive information from kernel memory on current and...
Academic researchers developed a new side-channel attack called SLAM that exploits hardware features designed to improve security in upcoming CPUs from Intel, AMD, and Arm to obtain the root password hash from the kernel memory. Short for Spectre based on LAM, the SLAM attack was discovered by researchers at Systems and Network Security Group at Vrije Universiteit Amsterdam, who demonstrated its validity by emulating the upcoming LAM feature from Intel on a last-generation Ubuntu system.
A new software-based fault injection attack, CacheWarp, can let threat actors hack into AMD SEV-protected virtual machines by targeting memory writes to escalate privileges and gain remote code execution. This new attack exploits flaws in AMD's Secure Encrypted Virtualization-Encrypted State and Secure Encrypted Virtualization-Secure Nested Paging tech designed to protect against malicious hypervisors and reduce the attack surface of VMs by encrypting VM data and blocking attempts to alter it in any way.
A group of academics has disclosed a new "software fault attack" on AMD's Secure Encrypted Virtualization (SEV) technology that could be potentially exploited by threat actors to infiltrate...
Boffins based in Germany and Austria have found a flaw in AMD's SEV trusted execution environment that makes it less than trustworthy. A successful attack - which assumes an attacker is running a malicious hypervisor protected by AMD SEV - could allow arbitrary code execution within a guest VM, the exposure of sensitive data, or privilege escalation.
AMD processor users, you have another data-leaking vulnerability to deal with: like Zenbleed, this latest hole can be to steal sensitive data from a running vulnerable machine. Inception utilizes a previously disclosed vulnerability alongside a novel kind of transient execution attack, which the researchers refer to as training in transient execution, to leak information from an operating system kernel at a rate of 39 bytes per second on vulnerable hardware.
Researchers have discovered a new and powerful transient execution attack called 'Inception' that can leak privileged secrets and data using unprivileged processes on all AMD Zen CPUs, including the latest models. Researchers at ETH Zurich have now combined an older technique named 'Phantom speculation' with a new transient execution attack called 'Training in Transient Execution' to create an even more powerful 'Inception' attack.