Tag: sensitive data exposure
6 articles
UK School's Lax Network Security Exposes Sensitive Data
A 17-year-old student gained unrestricted access to a UK school's network, discovering sensitive leadership documents and being able to reset passwords, delete accounts, and even wipe the entire network. The alarming vulnerability was uncovered when the student connected their laptop to the school's Active Directory domain, which surprisingly required no administrator authentication.
OpenClaw AI Agent Exposes Sensitive Data to Hidden Attacks
A critical vulnerability in OpenClaw AI, known as OpenClaw 2026.4.23, allowed hackers to hide malicious instructions within shared contacts, vCards, or location pins, which the AI agent then obediently followed. This shocking security flaw was recently patched, but highlights the importance of staying vigilant against emerging threats.
AI Agents Vulnerable to Phishing Attacks, Expose Sensitive Data
Researchers put an AI agent named Pinchy to the test with classic phishing simulations, and the results were alarming: sometimes it fell for the bait, spilling sensitive data, and other times it successfully blocked the attacks. The experiment revealed a stark vulnerability - AI agents can be tricked into exposing confidential information.
DentaQuest Breach Exposes 2.6M Accounts
A massive data breach at dental benefits provider DentaQuest has exposed a staggering 2.6 million accounts, after hackers stole over 234 GB of sensitive information and released it following failed negotiations with the company.
Shadow AI Exposes 2,000 Vibe-Coded Apps with Sensitive Data
A shocking discovery by Red Access revealed over 2,000 apps with sensitive corporate, operational, or personal data exposed online, leaving countless organizations vulnerable to risk. These apps, found on popular vibe-coding platforms, were often deployed without basic security controls, granting open access to sensitive information.
Data Breaches Surge, Exposing Sensitive Info at AI Startups, Agencies
Data breaches are surging, with AI startups and agencies exposed, as seen in the alarming theft of 10 petabytes from a Chinese supercomputer and 4 terabytes from AI startup Mercor due to a supply-chain vulnerability. These incidents highlight the hidden risks of connecting data to AI models, creating sensitive blind spots that leave large data sets vulnerable to compromise.