beacon-hunter

信标猎人 通过加法递归检测非周期性结构化C2 信标猎人检测使用phi兼容加法递归调度的命令与控制信标——一种增长型、非周期性的时序模式，其中每个连接间隔大致等于前两个间隔之和。该家族设计上规避了基于规律性的检测器（RITA、AC-Hunter），同时通过双门递归测试在结构上保持可识别性。 "信标不必是周期性的才能是结构化的。" 快速开始 信标猎人双门流水线：门1通过phi比率聚类过滤，门2测试加法递归结构。 pip install -r requirements.txt 在Zeek的conn.log上运行 python beaconhunter.py /path/to/conn.log...

CVE-2026-40369

这是对 VoidSec 公开技术分析 CVE-2026-40369 的改写和总结，添加了流程图和防御笔记，以便我自己理解。 所有核心技术细节均来自他的研究。我并未对此漏洞进行独立的逆向工程。 CVE-2026-40369：关于 12 字节 Windows 内核递增加载原语的防御分析 一项关于 CVE-2026-40369 的防御性技术分析，这是一个 Windows 内核权限提升漏洞，通过 NtQuerySystemInformation（信息类 0xFD / 253）提供了一个受限的 12 字节加法写入原语。 本报告重点关注利用约束条件、根本原因分析和防御影响，而非武器化利用。 概述...

OSV-2026-1109 UNKNOWN READ in sens_to_cil

OSS-Fuzz report: https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=541965633 Crash type: UNKNOWN READ Crash state: senstocil additivescopestocilmap hashtabmap...

PT-2026-76457

OSS-Fuzz report: https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=541965633 Crash type: UNKNOWN READ Crash state: sens to cil additive scopes to cil map hashtab map...

Exploit for Untrusted Pointer Dereference in Microsoft

CVE-2026-40369: Defensive Analysis of the 12-Byte Windows Kern...

Engineering Attack Vectors and Detecting Anomalies in Additive Manufacturing

Additive manufacturing AM is rapidly integrating into critical sectors such as aerospace, automotive, and healthcare. However, this cyber-physical convergence introduces new attack surfaces, especially at the interface between computer-aided design CAD and machine execution layers. In this work, ...

Automated and Explainable Denial of Service Analysis for AI-Driven Intrusion Detection Systems

With the increasing frequency and sophistication of Distributed Denial of Service DDoS attacks, it has become critical to develop more efficient and interpretable detection methods. Traditional detection systems often struggle with scalability and transparency, hindering real-time response and...

Balancing Privacy and Efficiency: Music Information Retrieval Via Additive Homomorphic Encryption

In the era of generative AI, ensuring the privacy of music data presents unique challenges: unlike static artworks such as images, music data is inherently temporal and multimodal, and it is sampled, transformed, and remixed at an unprecedented scale. These characteristics make its core vector...

A Lightweight IDS for Early APT Detection Using a Novel Feature Selection Method

An Advanced Persistent Threat APT is a multistage, highly sophisticated, and covert form of cyber threat that gains unauthorized access to networks to either steal valuable data or disrupt the targeted network. These threats often remain undetected for extended periods, emphasizing the critical...

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...

FERRET: Private Deep Learning Faster and Better Than DPSGD

We revisit 1-bit gradient compression through the lens of mutual-information differential privacy MI-DP. Building on signSGD, we propose FERRET--Fast and Effective Restricted Release for Ethical Training--which transmits at most one sign bit per parameter group with Bernoulli masking. Theory: We...

Differentially Private Space-Efficient Algorithms for Counting Distinct Elements in the Turnstile Model

The turnstile continual release model of differential privacy captures scenarios where a privacy-preserving real-time analysis is sought for a dataset evolving through additions and deletions. In typical applications of real-time data analysis, both the length of the stream $T$ and the size of th...

Security of a Secret Sharing Protocol on the Qline

Secret sharing is a fundamental primitive in cryptography, and it can be achieved even with perfect security. However, the distribution of shares requires computational assumptions, which can compromise the overall security of the protocol. While traditional Quantum Key Distribution QKD can...

Fast Plaintext-Ciphertext Matrix Multiplication from Additively Homomorphic Encryption

Plaintext-ciphertext matrix multiplication PC-MM is an indispensable tool in privacy-preserving computations such as secure machine learning and encrypted signal processing. While there are many established algorithms for plaintext-plaintext matrix multiplication, efficiently computing...

Huawei HarmonyOS 安全漏洞

Huawei HarmonyOS is an operating system from Huawei China. It provides a full-scenario distributed operating system based on a microkernel. A security vulnerability exists in Huawei HarmonyOS, which stems from a memory out-of-bounds vulnerability in the video framework due to an additive overflow...

Huawei HarmonyOS 安全漏洞

Huawei HarmonyOS is an operating system from Huawei China. It provides a full-scenario distributed operating system based on a microkernel. A security vulnerability exists in Huawei HarmonyOS, which stems from a memory out-of-bounds vulnerability in the video framework due to an additive overflow...

Huawei HarmonyOS 安全漏洞

Huawei HarmonyOS is an operating system from Huawei China. It provides a full-scenario distributed operating system based on a microkernel. A security vulnerability exists in Huawei HarmonyOS, which stems from a memory out-of-bounds vulnerability in the video framework due to an additive overflow...

Huawei HarmonyOS 安全漏洞

Huawei HarmonyOS is an operating system from Huawei China. It provides a full-scenario distributed operating system based on a microkernel. A security vulnerability exists in Huawei HarmonyOS, which stems from a memory out-of-bounds vulnerability in the video framework due to an additive overflow...

Huawei HarmonyOS 安全漏洞

Huawei HarmonyOS is an operating system from Huawei China. It provides a full-scenario distributed operating system based on a microkernel. A security vulnerability exists in Huawei HarmonyOS, which stems from a memory out-of-bounds vulnerability in the video framework due to an additive overflow...

Huawei HarmonyOS 安全漏洞

Huawei HarmonyOS is an operating system from Huawei China. It provides a full-scenario distributed operating system based on a microkernel. A security vulnerability exists in Huawei HarmonyOS, which stems from a memory out-of-bounds vulnerability in the video framework due to an additive overflow...