CVE-2026-39821:Go idna 纯 ASCII 标签解码漏报
CVE-2026-39821
CVE-2026-39821:Go idna 纯 ASCII 标签解码漏报
今日共收录 660 条安全情报,包含 0 个 CVE,351 篇安全通告,以及 56 篇研究论文。
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CVE-2026-39821:Go idna 纯 ASCII 标签解码漏报
CVE-2026-6791
CVE-2026-6791:8 MiB 输入击穿 glibc wordexp 栈
We introduce STROKE, a query-efficient score-based black-box adversarial attack that constructs perturbations from simpl
The rapid adoption and development of electric vehicle (EV) networks has required the expansive deployment of EV chargin
The consensus protocols of most high-performance blockchains use quorum certificates, which bundle the signatures of a q
To automatically check for compliance with security-related standards, prose requirements must be translated to technica
Sybil defenses commonly price identities by requiring a resource for each one. When one resource can support several ide
We present a data-driven, three-phase framework for covert misappropriation attacks on closed-loop networked control sys
Vision-based image classification models benefit from Federated Learning (FL) across vehicles, however learning accurate
AI agents can inspect code and run tests to support smart contract security. SlowMist reports about $38.6 billion in los
Pre-trained code models are exposed to backdoor poisoning, in which crafted training samples make the model misbehave on
Advanced attackers in post-exploitation scenarios increasingly craft attack chains that combine benign operations, confi
Governments govern AI-generated online harms from commercial platforms (EU DSA, AI Act, UK Online Safety Act), yet the m
No domestic legislature has ever reviewed a state's decision to authorise an autonomous cyber weapon before it acted. Cl
Illicit actors exploit Ethereum's deep liquidity and diverse on-chain services to launder criminal proceeds by combining
EMV 3-D Secure (3DS) requires a client-visible continuation boundary in browser-mediated flows; in some deployments, tha
Vision-Language Models (VLMs) are widely deployed, yet the internal mechanisms behind their safety behavior remain poorl
Differentially Private Stochastic Gradient Descent (DPSGD) has become the de facto standard for training deep neural net
Nonlinear activation evaluation remains a major bottleneck in neural inference under fully homomorphic encryption (FHE).
Diffusion-based image generation models produce high-quality images but may generate harmful or policy-violating content