2026-08-16 归档

今日共收录 1655 条安全情报,包含 947 个 CVE,388 篇安全通告,以及 62 篇研究论文。

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威胁情报2026-08-16 发布INFO

Browser Security: Zero-Days Are Only Part of the Problem

Browser Security: Zero-Days Are Only Part of the Problem

历史摘要 · 未重新核验 · CrowdStrike

威胁情报2026-08-16 发布INFO

IDC business value studyTurn security into business growth

IDC business value studyTurn security into business growth

历史摘要 · 未重新核验 · Mandiant

威胁情报2026-08-16 发布INFO

How AI-leading Security Teams Are Building the Agentic SOC

How AI-leading Security Teams Are Building the Agentic SOC

历史摘要 · 未重新核验 · CrowdStrike

威胁情报2026-08-16 发布INFO

Falcon Secure Access Sets the Standard for Zero Trust Browser Security

Falcon Secure Access Sets the Standard for Zero Trust Browser Security

历史摘要 · 未重新核验 · CrowdStrike

威胁情报2026-08-16 发布INFO

Beyond the Model: Harnessing Frontier AI for Stronger Cyber Defense

Beyond the Model: Harnessing Frontier AI for Stronger Cyber Defense

历史摘要 · 未重新核验 · CrowdStrike

威胁情报2026-08-16 发布INFO

make smarter security investments and mitigate future risks

make smarter security investments and mitigate future risks

历史摘要 · 未重新核验 · Mandiant

威胁情报2026-08-16 发布INFO

Inside Astaroth's New Spambot Component

Inside Astaroth's New Spambot Component

历史摘要 · 未重新核验 · CrowdStrike

威胁情报2026-08-16 发布INFO

Falcon Platform IOAs Arrive in Falcon Next-Gen SIEM to Identify New Threats

Falcon Platform IOAs Arrive in Falcon Next-Gen SIEM to Identify New Threats

历史摘要 · 未重新核验 · CrowdStrike

威胁情报2026-08-16 发布INFO

CrowdStrike 2026 Threat Hunting Report: Exploitation Window Closes as AI Use Accelerates

CrowdStrike 2026 Threat Hunting Report: Exploitation Window Closes as AI Use Accelerates

历史摘要 · 未重新核验 · CrowdStrike

威胁情报2026-08-16 发布INFO

Secure Agent Harness Execution: Preventing EscapeAug 04, 2026

Secure Agent Harness Execution: Preventing EscapeAug 04, 2026

历史摘要 · 未重新核验 · CrowdStrike

威胁情报2026-08-16 发布INFO

Expanding AI Benchmarks in Cybersecurity Beyond Vulnerability DiscoveryAug 06, 2026

Expanding AI Benchmarks in Cybersecurity Beyond Vulnerability DiscoveryAug 06, 2026

历史摘要 · 未重新核验 · CrowdStrike

威胁情报2026-08-16 发布INFO

CrowdStrike Threat Hunts for Shell Command Obfuscation on VMware ESX

CrowdStrike Threat Hunts for Shell Command Obfuscation on VMware ESX

历史摘要 · 未重新核验 · CrowdStrike

威胁情报2026-08-16 发布INFO

Google is a Leader in the IDC MarketScape: Worldwide Cybersecurity Consulting Services 2024 Vendor Assessment

Google is a Leader in the IDC MarketScape: Worldwide Cybersecurity Consulting Services 2024 Vendor Assessment

历史摘要 · 未重新核验 · Mandiant

威胁情报2026-08-16 发布INFO

August 2026 Patch Tuesday: One Exploited Zero-Day and 62 Critical Vulnerabilities Among 415 CVEsAug 11, 2026

August 2026 Patch Tuesday: One Exploited Zero-Day and 62 Critical Vulnerabilities Among 415 CVEsAug 11, 2026

历史摘要 · 未重新核验 · CrowdStrike

威胁情报2026-08-14 发布INFO

How Anthropic plans to watermark Claude's AI-generated text

It could soon become easier to identify AI-generated content, even if it's not the usual "It's Not X, it's Y" type of po

历史摘要 · 未重新核验 · BleepingComputer

威胁情报2026-08-14 发布INFO

Hackers arrested over €30M bank fraud exploiting service provider flaw

Four cybercriminals were arrested in Brazil, and three others were charged in Europe over allegations that they exploite

历史摘要 · 未重新核验 · BleepingComputer

威胁情报2026-08-14 发布INFO

Hackers exploit macOS Screen Sharing flaw to deploy Monero miner

The Netherlands' National Cyber Security Centre (NCSC) is warning that hackers are actively exploiting a macOS authentic

历史摘要 · 未重新核验 · BleepingComputer

学术论文2026-08-13 发布MEDIUM

Beyond Visual Evidence: Revealing and Mitigating Relational Privacy Leakage in Document MLLMs

本论文关注多模态大语言模型(MLLMs)在文档理解场景下的隐私泄露问题,尤其是面向身份证件等身份文档处理的专用MLLMs。现有研究大多聚焦通用MLLMs的隐私风险,而领域专用模型的独特脆弱性尚未被充分探索。作者聚焦于关键信息抽取(KIE)任

历史摘要 · 未重新核验 · arXiv cs.CR

学术论文2026-08-13 发布INFO

Tracing Provenance and Detecting Tampering with Complementary LLM Watermarks

本文针对大语言模型(LLM)生成文本的溯源与篡改检测问题,提出了一种新型互补水印方法。现有水印技术通常对文本编辑具有鲁棒性,能够保持溯源属性,但这种鲁棒性也带来安全漏洞:攻击者可以在保留水印归属的同时对关键内容进行篡改,即所谓的“piggy

历史摘要 · 未重新核验 · arXiv cs.CR

学术论文2026-08-13 发布INFO

LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles

该论文研究自动驾驶系统(ADS)中软件安全弱点的动态可利用性验证问题。自动驾驶依赖大规模安全关键软件栈,攻击者可控输入可能触及转向、制动等控制决策链。静态分析能发现候选危险点,但动态确认可利用性需要可执行的测试用例,而人工构造极为困难。作者

历史摘要 · 未重新核验 · arXiv cs.CR