CVE-2025-38054

The CVE-2025-38054 issue affects the Linux kernel PTP clock framework (ocp) in debugfs summary output. It could dereference NULL or access out-of-bounds elements in freq_in[] and signal_out[] due to uninitialized elements. The fix adds per-array counters (nr_freq_in, nr_signal_out) with a maximum...

CVE-2025-38041 clk: sunxi-ng: h616: Reparent GPU clock during frequency changes

In the Linux kernel, the following vulnerability has been resolved: clk: sunxi-ng: h616: Reparent GPU clock during frequency changes The H616 manual does not state that the GPU PLL supports dynamic frequency configuration, so we must take extra care when changing the frequency. Currently any...

CVE-2025-38041

In the Linux kernel, the following vulnerability has been resolved: clk: sunxi-ng: h616: Reparent GPU clock during frequency changes The H616 manual does not state that the GPU PLL supports dynamic frequency configuration, so we must take extra care when changing the frequency. Currently any...

CVE-2025-38041

CVE-2025-38041 concerns Linux kernel code: clk: sunxi-ng: h616 reparents the GPU clock to the GPU1 clock during frequency changes to mitigate panfrost OoOps and GPU hangs when performing device DVFS on the GPU. The vulnerability is effectively a local issue with the GPU clock DVFS pathway; the ex...

CVE-2025-38041 clk: sunxi-ng: h616: Reparent GPU clock during frequency changes

In the Linux kernel, the following vulnerability has been resolved: clk: sunxi-ng: h616: Reparent GPU clock during frequency changes The H616 manual does not state that the GPU PLL supports dynamic frequency configuration, so we must take extra care when changing the frequency. Currently any...

Linux kernel 安全漏洞

Linux kernel is the kernel used by Linux, the open source operating system of the Linux Foundation in the United States. A security vulnerability exists in the Linux kernel that originates in perf/x86 that causes a segmentation error during PEBS-via-PT sampling frequency configuration...

Graph Neural Networks for Jamming Source Localization

Graph-based learning provides a powerful framework for modeling complex relational structures; however, its application within the domain of wireless security remains significantly underexplored. In this work, we introduce the first application of graph-based learning for jamming source...

Astra Linux – Vulnerability found in Linux 6.1, Linux 6.12

In the Linux kernel, the following vulnerability has been resolved: cpufreq: scmi: Fixed a nullptrderef in scmicpufreqgetrate. The cpufreqcpugetraw function may return NULL when the target CPU is not present in the policy-cpus mask. The scmicpufreqgetrate function does not check for this case,...

Astra Linux - Vulnerability in linux-6.12

In the Linux kernel, the following vulnerability has been resolved: cpufreq: apple-soc: Fix null-ptr-deref in applesoccpufreqgetrate cpufreqcpugetraw can return NULL when the target CPU is not present in the policy-cpus mask. applesoccpufreqgetrate does not check for this case, which results in a...

Astra Linux – Vulnerability in Linux 6.12

In the Linux kernel, the following vulnerability has been resolved: ptp: ocp: Limits the number of signal/freq counts in summary output functions. The debugfs summary output could access uninitialized elements in the freqin and signalout arrays, leading to NULL pointer dereferences and triggering...

Astra Linux – Vulnerability found in Linux 6.1, Linux 6.12

In the Linux kernel, the following vulnerability has been resolved: OPP: Added an index check to ensure no buffer overflow occurs in readfreq. The freq index is passed to the assert function to ensure that we do not read values from the opp-rates table when called from the indexed variants:...

Astra Linux – Vulnerability in Linux 6.12

In the Linux kernel, the following vulnerability has been resolved: perf/x86/intel: The segfault caused by PEBS-via-PT with a sample frequency has been fixed. Currently, using PEBS-via-PT with a sample frequency instead of a sample period causes a segfault. For example: BUG: Kernel NULL pointer...

Locally Differentially Private Frequency Estimation Via Joint Randomized Response

Local Differential Privacy LDP has been widely recognized as a powerful tool for providing a strong theoretical guarantee of data privacy to data contributors against an untrusted data collector. Under a typical LDP scheme, each data contributor independently randomly perturbs their data before...

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models

As Diffusion Models DM generate increasingly realistic images, related issues such as copyright and misuse have become a growing concern. Watermarking is one of the promising solutions. Existing methods inject the watermark into the single-domain of initial Gaussian noise for generation, which...

44% of people encounter a mobile scam every single day, Malwarebytes finds

It’s become so troublesome owning a phone. Malicious texts pose as package delivery notifications, phishing emails impersonate trusted brands, and unknown calls hide extortion attempts, virtual kidnapping schemes, or AI threats. Confusingly, even legitimate businesses now lean on outreach tactics...

Unbreakable Enterprise kernel security update

5.15.0-309.180.4 - nvme: unblock ctrl state transition for firmware update Daniel Wagner - nfsd: decrease sccount directly if fail to queue dlrecall Li Lingfeng - cpufreq/sched: Fix the usage of CPUFREQNEEDUPDATELIMITS Rafael J. Wysocki - ice: Check VF VSI Pointer Value in icevcaddfdirfltr...

An Efficient Digital Watermarking Technique for Small Scale Devices

In the age of IoT and mobile platforms, ensuring that content stay authentic whilst avoiding overburdening limited hardware is a key problem. This study introduces hybrid Fast Wavelet Transform & Additive Quantization index Modulation FWT-AQIM scheme, a lightweight watermarking approach that...

There'S Waldo: PCB Tamper Forensic Analysis Using Explainable AI on Impedance Signatures

The security of printed circuit boards PCBs has become increasingly vital as supply chain vulnerabilities, including tampering, present significant risks to electronic systems. While detecting tampering on a PCB is the first step for verification, forensics is also needed to identify the modified...

Looking for Attention: Randomized Attention Test Design for Validator Monitoring in Optimistic Rollups

Optimistic Rollups ORUs significantly enhance blockchain scalability but inherently suffer from the verifier's dilemma, particularly concerning validator attentiveness. Current systems lack mechanisms to proactively ensure validators are diligently monitoring L2 state transitions, creating a...

Unveiling Impact of Frequency Components on Membership Inference Attacks for Diffusion Models

Diffusion models have achieved tremendous success in image generation, but they also raise significant concerns regarding privacy and copyright issues. Membership Inference Attacks MIAs are designed to ascertain whether specific data were utilized during a model's training phase. As current MIAs...