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Is Hacking Easier Or Harder Than Ever

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Is hacking easier or harder than ever? It's the argument that splits every security crowd, and the strange answer is both. Breaking into a fully patched modern machine has never been more expensive, a clean iPhone exploit sells for around $2.5 million, and yet more people get hacked every year. This video settles the debate by going back to where the whole story starts. I recently read the Cuckoo's Egg and it brought up SEVERAL things I noticed in my own cyber career. In 1986, an astronomer named Cliff Stoll caught a KGB-backed hacker roaming US military networks by chasing a 75-cent accounting error, the story he told in The Cuckoo's Egg. The way that hacker got in perked my ears up as I read the book: default passwords nobody changed, a hole in a standard email tool, and systems that trusted each other automatically. Open a breach report from this year and it's the same list. The machine got harder, and the human running it never did. Then the video gets into what AI actually changed. Instead of reinventing hacking, it stripped away the two things that quietly protected everyone: the time an attack used to take and the skill it required. On the human side that's the 2024 deepfake video call that cost the engineering firm Arup $25 million, where every colleague on the screen was AI-generated. On the machine side it's the collapse of the patch window, with Mandiant clocking the average time to exploit a new vulnerability falling from 63 days in 2018 to 5 in 2023 to negative today, meaning systems get hit before a fix even exists. Researchers showed GPT-4 writing working exploits straight from a public vulnerability writeup, while tools like WormGPT and FraudGPT hand a motivated amateur the same professional-grade phishing and malware that used to take a real crew. So the answer is both. Hacking the hardened, fully patched machine is harder than ever, while hacking the human in front of it, or the known hole nobody patched, is easier and faster than ever. Most breaches aren't really a hacking problem anymore, they're organizations deciding that fixing the boring stuff costs more than the breach will. The video closes on what actually raises an attacker's cost: phishing-resistant logins like passkeys, verifying big money and access requests out of band, and closing the patch gap before the grace period that used to cover you runs out. Addie LaMarr is a former U.S. Air Force cryptographer turned post-quantum security strategist, with 15 years in cybersecurity. LaMarr Labs advises security teams and executives on cryptographic risk, PQC migration timelines, and enterprise security architecture. ───────────────────────────── Work with Addie β†’ https://www.lamarrlabs.com/ Quantum Risk Newsletter β†’ https://lamarrlabs.substack.com/ Zero to Cyber Hero β†’ https://addie-clark.mykajabi.com/zero-to-cyber-hero-waitlist-discount LinkedIn β†’ https://www.linkedin.com/in/addie-clark/ ───────────────────────────── πŸ“š Sources: - The Cuckoo's Egg, Cliff Stoll (1989) - Zerodium exploit price list: https://cyberscoop.com/zerodium-android-zero-days-bounty/ - Verizon 2025 Data Breach Investigations Report: https://www.verizon.com/business/resources/reports/dbir/ - Arup $25M deepfake (CNN): https://www.cnn.com/2024/05/16/tech/arup-deepfake-scam-loss-hong-kong-intl-hnk - LLM Agents Can Autonomously Exploit One-Day Vulnerabilities, Fang et al. (arXiv:2404.08144): https://arxiv.org/abs/2404.08144 - Mandiant time-to-exploit (Help Net Security): https://www.helpnetsecurity.com/2024/10/16/time-to-exploit-vulnerabilities-2023/ - WormGPT & FraudGPT (LevelBlue): https://www.levelblue.com/blogs/spiderlabs-blog/wormgpt-and-fraudgpt-the-rise-of-malicious-llms

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