Topic starter
23/06/2026 9:07 pm
TL;DR: Anthropic’s Claude Mythos autonomously found thousands of zero-day vulnerabilities, including bugs that survived 27 years of human review and millions of automated tests, according to Oasis Security. Exploitability-based prioritisation is no longer a safe assumption when AI can compress discovery and exploitation into hours.
Editorial analysis by NHI Mgmt Group, based on content published by Oasis Security: “Claude Mythos and the End of 'Hard to Exploit'”.
Key questions
Q: What should teams do first when a vulnerability was classified as low exploitability?
A: Re-open the exception and test the original reasoning against AI-assisted exploit generation.
Q: Why do hard-to-exploit vulnerabilities still create urgent risk?
A: Because exploitability labels were built for a world where human ingenuity and time were the main constraints.
Q: What are the signs that a vulnerability prioritization model is failing?
A: The clearest signs are long delays on known exploited vulnerabilities, tickets that lack ownership, duplicate findings across tools, and high-severity work that never maps to real attack paths.
Practitioner guidance
- Re-score exploitability exceptions Review every vulnerability exception that relied on low exploitability, advanced skill requirements, or unlikely chaining.
- Shorten patch approval cycles Pre-authorise mitigation steps for newly disclosed high-exposure flaws so teams can act before the next normal patch window closes.
- Reduce public attack surface Prioritise external services, internet-facing assets, and systems holding secrets or elevated privileges.
Bottom line: Claude Mythos shows that vulnerability prioritisation assumptions built around human effort are no longer reliable enough on their own.
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25/06/2026 2:15 am
Exploitability-based prioritisation is no longer a stable control assumption. Security programmes built around the idea that hard-to-find flaws are probably hard to exploit were designed for a world in which human effort remained the main constraint. Claude Mythos shows that constraint can collapse when a model can discover and weaponise bugs at machine speed. The implication is that triage models must stop treating exploitability as a durable proxy for urgency.
A question worth separating out:
Q: How do security teams reduce exposure during the patch gap without relying on patching alone?
A: They should apply continuously updated protective controls that can act while remediation is underway. Network and email based detections, updated threat intelligence, and integrated rules for existing infrastructure can reduce exploit delivery risk before compromise spreads. The goal is not to replace patching, but to narrow the window in which attackers can succeed while fixes are still being deployed.
👉 Read our full editorial: Claude Mythos and the collapse of hard-to-exploit assumptions