惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

I
InfoQ
博客园_首页
美团技术团队
M
MIT News - Artificial intelligence
人人都是产品经理
人人都是产品经理
Blog — PlanetScale
Blog — PlanetScale
H
Help Net Security
J
Java Code Geeks
T
Tailwind CSS Blog
Jina AI
Jina AI
量子位
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
G
Google Developers Blog
爱范儿
爱范儿
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
宝玉的分享
宝玉的分享
小众软件
小众软件
MongoDB | Blog
MongoDB | Blog
博客园 - 三生石上(FineUI控件)
L
LangChain Blog
酷 壳 – CoolShell
酷 壳 – CoolShell
V
Visual Studio Blog
博客园 - Franky
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知

Human Risk Management Blog

Future-Proofing Organizations in the Face of AI What Security Can Learn From Dinosaurs Inside the OS-Aware Phishing Kit Profiling Your Device CyberheistNews Vol 16 #30 [Protect Your Users] AI Hallucinations Are Fueling Phishing Attacks Majority of Organizations Hit by Targeted Impersonation Attacks The Open-Source Paradox: Navigating the New Frontier of AI Supply Chain Risk Introducing The Hybrid Nudge Experience: Outbound Email Security Built for Your Risk Appetite Elevating the SOC Experience: Smarter Automation, Richer Threat Intelligence, and AI-Native Investigation New Phishing Tools Enable Attackers to Easily Bypass Multifactor Authentication From Inbox to Encryption: How Ransomware Delivery Has Evolved Attackers Exploit AI Hallucinations to Send Users to Phishing Sites Warning: ARToken Phishing Kit Automates BEC Attacks The New Face of AI Risk Trust Nothing: Tips to Secure AI Tools and Agents CyberheistNews Vol 16 #29 ClickFix Social Engineering is Now the Leading Malware Delivery Method Beyond the Checkbox: How a Proactive Partnership Led to Turnkey Hazing Compliance Trust, Verify, Protect: Modernizing Email Security for the Cloud Report: Social Engineering Remains a Central Part of AI-assisted Attacks ClickFix Social Engineering is Now the Leading Malware Delivery Method CyberheistNews Vol 16 #28 Your 2026 Phishing by Industry Benchmarks: The Findings on Human Risk Scammers Can Use AI Tools to Pinpoint Your Location Based on a Photo Report: Attackers Are Using AI to Automate Social Engineering Your KnowBe4 Fresh Compliance Plus Content Updates from June 2026 From Awareness to Digital Workforce Security Your KnowBe4 Fresh Content Updates from June 2026 Threat Actor Uses Phishing to Breach Orgs for Ransomware Gangs Invoice Phishing Attacks Are Abusing the Shop App Phishing Campaign Impersonates Interpol to Deliver Ransomware Prompt Injection and the Rise of Agentic Risk Hyper-Targeted Social Engineering Needs Real-Time Video Response
Report: Online Shoppers Increasingly Ignore Scam Warning ...
KnowBe4 Team · 2026-06-26 · via Human Risk Management Blog

New research by McAfee has found that many consumers tend to ignore red flags associated with scams when searching online for a good deal. The research identified the following consumer habits, all of which make users more likely to fall for online scams:

  • “82% prioritize finding the cheapest deal when shopping online
  • “55% spend more time hunting for deals
  • “40% would trust a lower-priced deal without verifying it first
  • “29% would skip researching a seller if the deal seemed especially good
  • “27% are more likely to consider unfamiliar sellers because of lower prices
  • “23% feel pressure to act quickly before deals disappear

McAfee’s Head of Threat Research, Abhishek Karnik, stated, “What the data reflects is that economic pressure has effectively done some of the scammer’s work for them. When consumers are already primed to move quickly and prioritize price over authenticity, it takes far less effort to push them toward a bad click or a fraudulent purchase.”

Notably, despite this risky behavior, most users believe they would be able to spot a scam. Karnik added, “Anyone who has ever fallen for a scam thought they would recognize one first. That confidence is part of what scammers count on.”

Additionally, 70% of respondents said AI-generated content is making scams harder to spot, and 37% said they lost money to online shopping scams.

“AI is being used to make fake review sections, impersonation messages that look exactly like they came from a major retailer, realistic logos, believable URLS,” Karnik noted. “When you’re shopping online, you need to adjust your expectations to match that new AI reality.”

McAfee has the story: New Research: Rising Costs Are Driving Consumers to Ignore Scam Instincts for Better Deals