2026-09-20 归档

今日共收录 942 条安全情报,包含 169 个 CVE,438 篇安全通告,以及 68 篇研究论文。

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威胁情报2026-09-20 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2026-09-20 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2026-09-20 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2026-09-20 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2026-09-20 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2026-09-20 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2026-09-20 发布INFO

Teaching AI to Reason Through Detection Triage

Teaching AI to Reason Through Detection Triage

历史摘要 · 未重新核验 · CrowdStrike

威胁情报2026-09-20 发布INFO

Peer Pressure: Inside the Sality Botnet Disruption Operation

Peer Pressure: Inside the Sality Botnet Disruption Operation

历史摘要 · 未重新核验 · CrowdStrike

威胁情报2026-09-20 发布INFO

CrowdStrike Delivers the Next Evolution of the Agentic SOC

CrowdStrike Delivers the Next Evolution of the Agentic SOC

历史摘要 · 未重新核验 · CrowdStrike

威胁情报2026-09-20 发布INFO

Read the report

Read the report

历史摘要 · 未重新核验 · Mandiant

威胁情报2026-09-20 发布INFO

CrowdStrike Accelerates Real-Time Data Classification with On-Device AISep 16, 2026

CrowdStrike Accelerates Real-Time Data Classification with On-Device AISep 16, 2026

历史摘要 · 未重新核验 · CrowdStrike

威胁情报2026-09-20 发布INFO

PhantomRaven: An LLM-Generated Information Stealer Developed for Bug Bounty Hunting

PhantomRaven: An LLM-Generated Information Stealer Developed for Bug Bounty Hunting

历史摘要 · 未重新核验 · CrowdStrike

威胁情报2026-09-20 发布INFO

CrowdStrike Named a Leader in The Forrester Wave™: External Threat Intelligence Service Providers, Q3 2026

CrowdStrike Named a Leader in The Forrester Wave™: External Threat Intelligence Service Providers, Q3 2026

历史摘要 · 未重新核验 · CrowdStrike

威胁情报2026-09-20 发布INFO

CrowdStrike SafeMind: When the Best Offense Builds the Best DefenseSep 17, 2026

CrowdStrike SafeMind: When the Best Offense Builds the Best DefenseSep 17, 2026

历史摘要 · 未重新核验 · CrowdStrike

威胁情报2026-09-19 发布INFO

North Korean WaterPlum hackers infected 30,000 devices worldwide

A joint law enforcement advisory warns that the North Korean hacking group WaterPlum compromised at least 30,000 devices

历史摘要 · 未重新核验 · BleepingComputer

威胁情报2026-09-19 发布INFO

ShinyHunters hacks Clop leak site, threatens to extort ransomware gang

The ShinyHunters extortion gang breached the Clop (aka Cl0p) ransomware operation's data leak site, defacing the Tor sit

历史摘要 · 未重新核验 · BleepingComputer

威胁情报2026-09-19 发布INFO

Viral AI actress' hotline face-scans every caller, watches their mood

AI actress Tilly Norwood went viral after glitching into Chinese on Piers Morgan Uncensored last night. Her "Talking Til

历史摘要 · 未重新核验 · BleepingComputer

威胁情报2026-09-19 发布INFO

Identity Visibility in 2026: The Foundation of Identity Security

Identity visibility is a starting point for modern identity security, because stolen and misused credentials are among t

历史摘要 · 未重新核验 · The Hacker News

学术论文2026-09-16 发布HIGH

Measuring and Exploiting Implicit Trust in LLM Tool-Calling Pipelines

该论文聚焦 MCP(Model Context Protocol)引入的一类被忽视的信任问题。MCP 让 LLM 能调用外部工具,但每一次工具交互都会把攻击者可控的文本通过多条输入通道注入模型:工具描述、工具返回结果、采样(sampling

历史摘要 · 未重新核验 · arXiv cs.CR

学术论文2026-09-17 发布MEDIUM

The More It Says, the More You Pay: A Black-Box Audit of Provider-Side Token Inflation in LLM Services

该论文关注按 token 计费的 LLM 服务中一个被忽视的利益冲突:模型输出越长,用户付费越多,因此不诚实的服务提供商有动机在基本保持任务可用性的前提下,隐蔽地拉长生成结果以虚增输出 token。作者将这类操纵形式化为「提供商侧 Toke

历史摘要 · 未重新核验 · arXiv cs.CR