16315 matches found
CVE-2025-7432
DPA countermeasures in Silicon Labs' Series 2 devices are not reseeded under certain conditions. This may allow an attacker to eventually extract secret keys through a DPA attack...
MAL-2026-839 Malicious code in search-newfrontier-podlet (npm)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector a6e41804eeb58691ca7b68763c0db9e48636ffeb9d7020d95bbc9d9e9aec6e76 The package search-newfrontier-podlet was found to contain malicious code. Source: ossf-package-analysis...
VOID
VOID ██╗ ██╗ ██████╗ ██╗██████╗ ██║ ██║██╔═══██╗██║█...
Exposure Management vs Vulnerability Management: Key Differences
Is your security program truly reducing risk, or is it just getting really good at patching? This question is at the heart of the exposure management vs vulnerability management debate. A traditional approach can tell you that a door has a weak lock, but it can't tell you if that door leads to a...
[SECURITY] Fedora 43 Update: rust-resctl-bench-2.2.5-10.fc43
resctl-bench is a collection of whole-system benchmarks to evaluate resource control and hardware behaviors using realistic simulated workloads. Comprehensive resource control involves the whole system. Furthermore, testing resource control end-to-end requires scenarios involving realistic...
SecCodePRM: A Process Reward Model for Code Security
Large Language Models are rapidly becoming core components of modern software development workflows, yet ensuring code security remains challenging. Existing vulnerability detection pipelines either rely on static analyzers or use LLM/GNN-based detectors trained with coarse program-level...
Optical Probing of Readback CRC Bus
Revisions Revision Date| Description ---|--- 2026-09-14| Acknowledgement updates 2026-02-10| Initial publication...
Rethinking Security of Diffusion-Based Generative Steganography
Generative image steganography is a technique that conceals secret messages within generated images, without relying on pre-existing cover images. Recently, a number of diffusion model-based generative image steganography DM-GIS methods have been introduced, which effectively combat traditional...
CVE-2025-7432
DPA countermeasures in Silicon Labs' Series 2 devices are not reseeded under certain conditions. This may allow an attacker to eventually extract secret keys through a DPA attack...
CVE-2025-7432 DPA countermeasures not reseeded under certain conditions
DPA countermeasures in Silicon Labs' Series 2 devices are not reseeded under certain conditions. This may allow an attacker to eventually extract secret keys through a DPA attack...
CVE-2025-7432
DPA countermeasures in Silicon Labs' Series 2 devices are not reseeded under certain conditions. This may allow an attacker to eventually extract secret keys through a DPA attack...
CVE-2025-7432 DPA countermeasures not reseeded under certain conditions
DPA countermeasures in Silicon Labs' Series 2 devices are not reseeded under certain conditions. This may allow an attacker to eventually extract secret keys through a DPA attack...
How Top CISOs Solve Burnout and Speed up MTTR without Extra Hiring
Why do SOC teams keep burning out and missing SLAs even after spending big on security tools? Routine triage piles up, senior specialists get dragged into basic validation, and MTTR climbs, while stealthy threats still find room to slip through. Top CISOs have realized the solution isn’t hiring...
📄 Samsung QuramDNG Type Confusion Detector Vulnerability Scanner
This C++ scanner analyzes DNG Digital Negative files for the CVE-2025-58478 type confusion vulnerability in the libimagecodec.quram.so library used on Samsung devices...
SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity
Deep Reinforcement Learning DRL has achieved remarkable success in domains requiring sequential decision-making, motivating its application to cybersecurity problems. However, transitioning DRL from laboratory simulations to bespoke cyber environments can introduce numerous issues. This is furthe...
DyMA-Fuzz: Dynamic Direct Memory Access Abstraction for Re-Hosted Monolithic Firmware Fuzzing
The rise of smart devices in critical domains--including automotive, medical, industrial--demands robust firmware testing. Fuzzing firmware in re-hosted environments is a promising method for automated testing at scale, but remains difficult due to the tight coupling of code with a...
One RNG to Rule Them All: How Randomness Becomes an Attack Vector in Machine Learning
Machine learning relies on randomness as a fundamental component in various steps such as data sampling, data augmentation, weight initialization, and optimization. Most machine learning frameworks use pseudorandom number generators as the source of randomness. However, variations in design choic...
Silicon Labs Series 2 security vulnerabilities
Silicon Labs Series 2 is an IoT system platform developed by Silicon Corporation in the United States. There is a security vulnerability in Silicon Labs Series 2, which stems from the fact that the DPA counter does not reseed under certain conditions, potentially allowing key extraction through D...