SEVulDet

SEVulDet SEVulDet 是一个语义增强的基于深度学习的框架，能够通过提取、保留和学习更多语义来精确识别漏洞模式。 联系邮箱 ：[email protected] SEVulDet 详情 近年来，基于深度学习的漏洞检测框架受到更多关注，这些框架利用神经网络来识别漏洞模式。尽管已付出大量努力，但现有方法在实际应用中仍不够精确。先前的工作未能从源代码中全面捕获语义，或者采用了不合适的神经网络设计。 本文提出 SEVulDet，一个语义增强的基于深度学习的框架，通过提取、保留和学习更多语义来精确识别漏洞模式。首先，SEVulDet...

attack-attention

有效攻击基础模型的注意力可有效扰乱下游任务 论文 "Attacking Attention of Foundation Models Effectively Disrupts Downstream Tasks" 的官方 PyTorch 实现，已被 CVPR 2025 的 ADVML （对抗性机器学习在计算机视觉中的应用：基础模型 + X）研讨会接收。 有效攻击基础模型的注意力可有效扰乱下游任务" Hondamunige Prasanna Silva、Federico Becattini 和 Lorenzo Seidenari 摘要：...

Hybrid ResNet-1D-BiGRU with Multi-Head Attention for Cyberattack Detection in Industrial IoT Environments

This study introduces a hybrid deep learning model for intrusion detection in Industrial IoT IIoT systems, combining ResNet-1D, BiGRU, and Multi-Head Attention MHA for effective spatial-temporal feature extraction and attention-based feature weighting. To address class imbalance, SMOTE was applie...

RECTor: Robust and Efficient Correlation Attack on Tor

Tor is a widely used anonymity network that conceals user identities by routing traffic through encrypted relays, yet it remains vulnerable to traffic correlation attacks that deanonymize users by matching patterns in ingress and egress traffic. However, existing correlation methods suffer from t...

Systematically Deconstructing APVD Steganography and Its Payload with a Unified Deep Learning Paradigm

In the era of digital communication, steganography allows covert embedding of data within media files. Adaptive Pixel Value Differencing APVD is a steganographic method valued for its high embedding capacity and invisibility, posing challenges for traditional steganalysis. This paper proposes a...

Attention Augmented GNN RNN-Attention Models for Advanced Cybersecurity Intrusion Detection

In this paper, we propose a novel hybrid deep learning architecture that synergistically combines Graph Neural Networks GNNs, Recurrent Neural Networks RNNs, and multi-head attention mechanisms to significantly enhance cybersecurity intrusion detection capabilities. By leveraging the comprehensiv...

A Robust Cross-Domain IDS Using BiGRU-LSTM-Attention for Medical and Industrial IoT Security

The increased Internet of Medical Things IoMT and the Industrial Internet of Things IIoT interconnectivity has introduced complex cybersecurity challenges, exposing sensitive data, patient safety, and industrial operations to advanced cyber threats. To mitigate these risks, this paper introduces ...

A Novel Post-Quantum Secure Digital Signature Scheme Based on Neural Network

Digital signatures are fundamental cryptographic primitives that ensure the authenticity and integrity of digital documents. In the post-quantum era, classical public key-based signature schemes become vulnerable to brute-force and key-recovery attacks due to the computational power of quantum...

CVE-2024-37408

A flaw was found in fprintd through version 1.94.3, which lacks a security attention mechanism. This issue causes unexpected actions that may be authorized by "auth sufficient pamfprintd.so" for Sudo...

SUSE CVE-2024-37408

fprintd through 1.94.3 lacks a security attention mechanism, and thus unexpected actions might be authorized by "auth sufficient pamfprintd.so" for Sudo. NOTE: the supplier disputes this because they believe issue resolution would involve modifying the PAM configuration to restrict pamfprintd.so ...

CVE-2024-37408

fprintd through 1.94.3 lacks a security attention mechanism, and thus unexpected actions might be authorized by "auth sufficient pamfprintd.so" for Sudo. NOTE: the supplier disputes this because they believe issue resolution would involve modifying the PAM configuration to restrict pamfprintd.so ...

PT-2024-27527 · Fprintd · Fprintd

Name of the Vulnerable Software and Affected Versions: fprintd versions 1.94.3 and earlier Description: The issue is related to the lack of a security attention mechanism in fprintd, which may lead to unexpected actions being authorized by auth sufficient pam fprintd.so for Sudo. This could...

fprintd Security Vulnerabilities

fprintd is a D-Bus service access fingerprint reader open-sourced by libfprint. A security vulnerability exists in fprintd version 1.94.3 and earlier versions, which stems from the lack of a security attention mechanism...

CVE-2024-37408

fprintd through 1.94.3 lacks a security attention mechanism, and thus unexpected actions might be authorized by "auth sufficient pamfprintd.so" for Sudo. NOTE: the supplier disputes this because they believe issue resolution would involve modifying the PAM configuration to restrict pamfprintd.so ...

CVE-2024-37408

The fprintd fingerprint reader D-Bus service (versions 1.94.3 and earlier ) lacks a security attention mechanism . This deficiency may allow unexpected actions to be authorized when using auth sufficient pam_fprintd.so for Sudo , potentially leading to unauthorized access. While the supplier disp...