Microsoft Patches Record 1,413 Vulnerabilities, Including Exploited Windows Zero-Day
CVE-2026-96951
The most important is CVE-2026-96951, a security feature bypass flaw in Windows that has been exploited in the wild. The
今日共收录 805 条安全情报,包含 0 个 CVE,398 篇安全通告,以及 100 篇研究论文。
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The most important is CVE-2026-96951, a security feature bypass flaw in Windows that has been exploited in the wild. The
Cloud services rapidly shift towards independently-managed microservices architectures. This independence may lead to te
Side-channel attacks on block ciphers rarely recover the key outright: they leave a residual key space ordered by subkey
We present Tulva, a practical threshold FHE scheme which equips a base FHE scheme with an asynchronous threshold decrypt
Detecting unseen malware variants remains a major challenge as malware families continuously evolve. This issue is exace
Background: Rust is a modern programming language known for its focus on usability, concurrency, and security. However,
Bosley and Dodis (TCC 2007) proved that a class of imperfect randomness sources that suffices for information-theoretic
Constant-time execution is an important security property, especially for IoT devices, that prevents the leakage of sens
The rapid advancement of large vision language models (LVLMs) has made geolocation inference from images highly accurate
Agents extend their capabilities through reusable skills that package instructions, executable code, and resources. Comp
Backdoor attacks on deep neural networks are commonly evaluated by attack success rate and benign accuracy, yet their st
Bilinear Compressive Security (BCS) is a lightweight encryption scheme that combines compressed sensing with a fresh ran
Typed decision models (TDMs) are increasingly used in applications such as request routing and model selection, making r
Shannon entropy is a standard measure of ciphertext randomness, evaluated either globally over the byte histogram of the
Cyber Threat Intelligence (CTI) investigators who monitor dark web marketplaces for leaked credentials and breach listin
Network Intrusion Detection Systems (NIDS) based on deep learning often fail to detect attack classes that are absent fr
Although Artificial Intelligence (AI)-based Intrusion Detection Systems (IDSs) are increasingly deployed in operational
Recent advances in diffusion models have enabled high-fidelity, identity-preserving image generation for personalized ap
Multimodal agents increasingly rely on visual interfaces to perceive state and select actions, creating an attack surfac
Sequential data such as documents, conversations, and trajectories are naturally partitioned across users, motivating pr