41 matches found
KISS FFT 安全漏洞
KISS FFT is a Fourier transform calculation library developed by the individual developer, mborgerding. KISS FFT has a security vulnerability, which stems from an integer overflow in the kissfftndralloc function, potentially leading to a heap buffer overflow...
[SECURITY] Fedora 43 Update: kiss-fft-131.2.0-1.fc43
KISS FFT - A mixed-radix Fast Fourier Transform based on the principle, "Keep It Simple, Stupid." There are many great fft libraries already around. Kiss FFT is not trying to be better than any of them. It only attempts to be a reasonably efficient, moderately useful FFT that can use fixed or...
[SECURITY] Fedora 44 Update: kiss-fft-131.2.0-1.fc44
KISS FFT - A mixed-radix Fast Fourier Transform based on the principle, "Keep It Simple, Stupid." There are many great fft libraries already around. Kiss FFT is not trying to be better than any of them. It only attempts to be a reasonably efficient, moderately useful FFT that can use fixed or...
A High-Performance Fractal Encryption Framework and Modern Innovations for Secure Image Transmission
The current digital era, driven by growing threats to data security, requires a robust image encryption technique. Classical encryption algorithms suffer from a trade-off among security, image fidelity, and computational efficiency. This paper aims to enhance the performance and efficiency of ima...
Reference-Free Spectral Analysis of EM Side-Channels for Always-On Hardware Trojan Detection
Always-on hardware Trojans HTs pose a critical risk to trusted microelectronics, yet most side-channel detection methods rely on unavailable golden references. We present a reference-free approach that combines time-frequency EM analysis with Gaussian Mixture Models GMMs. By applying Short-Time...
Quantum AI Algorithm Development for Enhanced Cybersecurity: a Hybrid Approach to Malware Detection
This study explores the application of quantum machine learning QML algorithms to enhance cybersecurity threat detection, particularly in the classification of malware and intrusion detection within high-dimensional datasets. Classical machine learning approaches encounter limitations when dealin...
Linux Distros Unpatched Vulnerability : CVE-2019-13391
The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - In ImageMagick 7.0.8-50 Q16, ComplexImages in MagickCore/fourier.c has a heap-based buffer over-read because of incorrect calls to GetCacheViewVirtualPixels...
Enhanced Deep Learning DeepFake Detection Integrating Handcrafted Features
The rapid advancement of deepfake and face swap technologies has raised significant concerns in digital security, particularly in identity verification and onboarding processes. Conventional detection methods often struggle to generalize against sophisticated facial manipulations. This study...
Breaking a 5-Bit Elliptic Curve Key Using a 133-Qubit Quantum Computer
This experiment breaks a 5-bit elliptic curve cryptographic key using a Shor-style quantum attack. Executed on IBM's 133-qubit ibmtorino with Qiskit Runtime 2.0, a 15-qubit circuit, comprised of 10 logical qubits and 5 ancilla, interferes over an order-32 elliptic curve subgroup to extract the...
ABC-FHE : a Resource-Efficient Accelerator Enabling Bootstrappable Parameters for Client-Side Fully Homomorphic Encryption
As the demand for privacy-preserving computation continues to grow, fully homomorphic encryption FHE-which enables continuous computation on encrypted data-has become a critical solution. However, its adoption is hindered by significant computational overhead, requiring 10000-fold more computatio...
Quantized Approximate Signal Processing (QASP): Towards Homomorphic Encryption for Audio
Audio and speech data are increasingly used in machine learning applications such as speech recognition, speaker identification, and mental health monitoring. However, the passive collection of this data by audio listening devices raises significant privacy concerns. Fully homomorphic encryption...
A Unified Hardware Accelerator for Fast Fourier Transform and Number Theoretic Transform
The Number Theoretic Transform NTT is an indispensable tool for computing efficient polynomial multiplications in post-quantum lattice-based cryptography. It has strong resemblance with the Fast Fourier Transform FFT, which is the most widely used algorithm in digital signal processing. In this...
The vulnerability of Siemens Solid Edge’s design and simulation tools relates to writing beyond buffer boundaries in memory, allowing a malicious actor to execute arbitrary code.
The vulnerability of Siemens Solid Edge’s design and simulation tools lies in the issue of writing beyond buffer boundaries in memory when processing DFT format files. Exploiting this vulnerability allows a remote attacker to execute arbitrary code...
Out-of-Bounds
Overview mindspore is a MindSpore is an open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios. Affected versions of this package are vulnerable to Out-of-Bounds through the mindspore.numpy.fft.hfftn and mindspore.numpy.fft.rfft2 functions. ...
The vulnerability of Siemens Solid Edge’s design and simulation tools relates to the execution of operations beyond the buffer boundaries in memory. This allows attackers to execute arbitrary code.
The vulnerability of Siemens Solid Edge’s design and simulation tools relates to the execution of operations beyond the buffer boundaries in memory. Exploiting this vulnerability could allow an attacker to execute arbitrary code using specially crafted DFT files...
The vulnerability of Siemens Solid Edge’s design and simulation tools relates to the execution of operations beyond the buffer boundaries in memory. This allows attackers to execute arbitrary code.
The vulnerability of Siemens Solid Edge’s design and simulation tools relates to the execution of operations beyond the buffer boundaries in memory. Exploiting this vulnerability could allow an attacker to execute arbitrary code using specially crafted DFT files...
The vulnerability of Siemens Solid Edge’s design and simulation tools relates to the execution of operations beyond the buffer boundaries in memory. This allows attackers to execute arbitrary code.
The vulnerability of Siemens Solid Edge’s design and simulation tools relates to the execution of operations beyond the buffer boundaries in memory. Exploiting this vulnerability could allow an attacker to execute arbitrary code using specially crafted DFT files...
The vulnerability of Siemens Solid Edge’s design and simulation tools relates to the execution of operations beyond the buffer boundaries in memory. This allows attackers to execute arbitrary code.
The vulnerability of Siemens Solid Edge’s design and simulation tools relates to the execution of operations beyond the buffer boundaries in memory. Exploiting this vulnerability could allow an attacker to execute arbitrary code using specially crafted DFT files...
SUSE CVE-2019-13302
ImageMagick 7.0.8-50 Q16 has a heap-based buffer over-read in MagickCore/fourier.c in ComplexImages...
SUSE CVE-2019-13308
ImageMagick 7.0.8-50 Q16 has a heap-based buffer overflow in MagickCore/fourier.c in ComplexImage...