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Comment by jacquesm | Hacker News Reader

But even then you are still depending on others to catch the bugs for you and it doesn't scale: if everybody did the cooldown thing you'd be right back where you started.

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I don't think that this Kantian argument is relevant in tech. We've had LTS versions of software for decades and it's not like every single person in the industry is just waiting for code to hit LTS before trying it. There are a lot of people and (mostly smaller) companies who pride themselves on being close to the "bleeding edge", where they're participating more fully in discovering issues and steering the direction.

The assumption in the post is that scanners are effective at detecting attacks within the cooldown period, not that end-device exploitation is necessary for detection.

(This may end up not being true, in which case a lot of people are paying security vendors a lot of money to essentially regurgitate vulnerability feeds at them.)

To find a vulnerability, one does not necessarily deploy a vulnerable version to prod. It would be wise to run a separate CI job that tries to upgrade to the latest versions of everything, run tests, watch network traffic, and otherwise look for suspicions activity. This can be done relatively economically, and the responsibility could be reasonably distributed across the community of users.

It does scale against this form of attack. This attack propagates by injecting itself into the packages you host. If you pull only 7d after release you are infected 7d later. If your customers then also only pull 7d later they are pulling 14d after the attack has launched, giving defenders a much longer window by slowing down the propagation of the worm.

That worried me too, a sort of inverse tragedy of the commons. I'll use a weeklong cooldown, _someone else_ will find the issue...

Until no-one does, for a week. To stretch the original metaphor, instead of an overgrazed pasture, we grow a communally untended thicket which may or may not have snakes when we finally enter.

That is statistically not possible, unless you are dealing with very small sample size.

The "until no one does" is not something that can happen in something like npm ecosystem, or even among the specific user of "left-pad".

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