2025年下半年QR码钓鱼攻击激增的机理分析与多维防御体系构建

2025年下半年，全球网络安全态势发生了微妙而深刻的变化。卡巴斯基实验室发布的遥测数据揭示了一个令人警醒的趋势：QR码钓鱼攻击（Quishing）的数量在该时期内激增了五倍。这一数据并非简单的线性增长，而是反映了攻击生态系统的质变。攻击者不再满足于小 ...

现代网络钓鱼工具包的反检测机制与动态防御策略研究

现代网络钓鱼工具包中集成的反机器人、地理围栏及行为生物特征分析等高级规避技术，标志着网络攻击已进入“隐形战争”时代。这些技术通过多维度的身份验证机制，有效地屏蔽了传统的自动化扫描与蜜罐监测，导致威胁情报的获取滞后，极大地增加了防御难度。本文通过对这些规避技术的深度解构，揭示了其依赖环境感知与行为判别的核心逻辑。
Investopedia

Understanding Simple Random Sampling: Key Advantages and Limitations

Melissa Horton is a financial literacy professional. She has 10+ years of experience in the financial services and planning industry. Robert Kelly is managing director of XTS Energy LLC, and has more ...
Save the Children

Celebrating Random Acts of Kindness Day 2026

In a world that can always use more compassion, Random Acts of Kindness Day is a meaningful reminder of how small actions can make a big difference. In 2026, Random Acts of Kindness Day is celebrated ...
9to5Mac

Apple says ‘random or anonymous chat’ apps no longer welcome on the App Store

Apple has updated its App Review Guidelines to expand the list of user-generated content experiences that can be removed from the App Store without notice. Here are the details. Apple’s App Review ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
腾讯网

用 PyTorch 实现 LLM-JEPA：不预测 token，预测嵌入

点击上方“Deephub Imba”,关注公众号,好文章不错过 !这篇文章从头实现 LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures。需要说明的是，这里写的是一个简洁的最小化训练脚本，目标是了解 JEPA 的本质：对同一文本创建两个视图，预测被遮蔽片段的嵌入，用表示对齐损失来训练。本文的目标是 ...