The attacks we face today don’t just exploit systems — they exploit assumptions. That NTLM is “good enough.” That patches are complete. That AI models are too abstract to target. But as today’s stories show, attackers are always a few steps ahead — often hiding in the defaults we never thought to question.
🔓 Multiple Threat Groups Exploit NTLM Flaw
A legacy authentication protocol once again becomes a liability — NTLM is being actively exploited by multiple threat actors, with man-in-the-middle and relay attacks targeting Windows environments at scale. It’s a protocol begging for retirement.
🔗 https://www.darkreading.com/cyberattacks-data-breaches/multiple-group-exploiting-ntlm-flaw
💣 Four New Privilege Escalation Flaws Surface
Security researchers uncovered four separate privilege escalation vulnerabilities, spanning Windows and Linux platforms. The implication? Attackers don’t need new malware — they just need old permissions overlooked.
🔗 https://thehackernews.com/2025/04/experts-uncover-four-new-privilege.html
🐍 Malicious PyPI Package Targets MEXC Crypto Platform
A rogue Python package uploaded to PyPI is targeting developers working with the MEXC crypto exchange. It harvests API keys and wallet data — a reminder that dev environments are prime targets, especially in fintech.
🔗 https://thehackernews.com/2025/04/malicious-pypi-package-targets-mexc.html
🔐 Cloud Cryptography Bugs Expose Mobile Enterprise Data
A new study shows how poor cryptographic practices in cloud-connected mobile apps have exposed sensitive enterprise data. Tokens stored in plaintext, weak key handling — it’s the kind of invisible exposure that’s rarely logged, but always dangerous.
🔗 https://www.darkreading.com/endpoint-security/cloud-cryptography-flaws-mobile-apps-expose-enterprise-data
💰 Ransomware Gang “CrazyHunter” Targets Taiwanese Critical Infrastructure
A lesser-known ransomware outfit dubbed CrazyHunter is going after government and infrastructure targets in Taiwan. What makes them dangerous isn’t complexity — it’s focus. They hit systems with purpose, and they don’t miss.
🔗 https://www.darkreading.com/threat-intelligence/ransomware-gang-crazyhunter-critical-taiwanese-orgs
🧠 The Looming Shadow Over AI Security
CyberDefense Magazine explores the security dilemmas of large language models — from data poisoning to model inversion attacks. The more integrated AI becomes, the more fragile our systems will be unless security is embedded at the root.
🔗 https://www.cyberdefensemagazine.com/the-looming-shadow-over-ai-securing-the-future-of-large-language-models/
⚠️ Nvidia Patch Fails to Fix AI Vulnerabilities
An update to yesterday’s story: Nvidia’s latest patch — meant to fix AI-related vulnerabilities — has reportedly left holes open, exposing models and surrounding infrastructure to memory corruption and data exfiltration. AI tooling needs patch literacy, not just release notes.
🔗 https://www.darkreading.com/cloud-security/buggy-nvdia-patch-exposes-ai-models-critical-infrastructure
🧾 Hertz Confirms Customer Data Breach After Cleo Exploit
Following its Cleo platform compromise, Hertz confirmed that customer PII and financial data were exposed. The attack used a zero-day in a third-party integration — again proving that data isn’t just at risk in your systems, but in your partners’.
🔗 https://www.securitymagazine.com/articles/101544-hacker-accessed-customer-information-in-hertz-data-breach
🎙️ CyberWire Daily Recap: Ransomware Roundups & LLM Risk Warnings
Today’s CyberWire touches on the geopolitical impact of ransomware and the deepening concern over AI’s weaponization. Worth a listen for the high-level perspective, especially on how regulation might play catch-up.
🔗 https://thecyberwire.com/podcasts/daily-podcast/2288/notes
💭 Reflection
It’s Day 106, and the trend that keeps resurfacing is misplaced trust — in legacy protocols, incomplete patches, third-party code, or misunderstood AI systems. As I move deeper into CISSP and keep eyes on DevSecOps, the path forward becomes clearer: trust nothing without verification — and verify everything through architecture, not optimism.
Tomorrow’s threats are here today. Stay adaptive. 🔄🧠🔍
