alt Hacker NewsThis describes my life as an open source maintainer at the moment!
In the first 10 years of the rclone project we received about 20 security disclosures through GitHub. We had to deal with over 40 in the last month! That has taken a huge amount of my time, even using AI tools to triage and come up with fixes for review.
The hit rate for those security disclosures is pretty good - about 75% of them have a nugget of something which needs looking at. The configurations for rclone have got increasingly unlikely so I'm hoping they will dry up eventually.
I was considering just merging the fixes straight to master just to make my life easier rather than holding a dozen independent security fixes on branches and merging them at the point release and hoping not to have too many conflicts to fix up. I've decided to stick with the process for the moment.
GitHub assigns CVEs for the advisories. Before the AI apocalypse they took 2-3 days for an assignment but now it they are running at 3-4 weeks so I have to send the point releases out with CVE-PENDING in the changelog which isn't ideal.
Not sure what the solution is, but it is definitely a problem for us.
Replies
Thank you for making and maintaining rclone. It is truly a blessing.
> Not sure what the solution is
Possibly some sort of ai agent code review system that churns through code looking for these vulns before the code is published. It feels like it's all about who has the resources to find bugs at the moment but that it should be a standard to catch issues before prod moving forward..
> GitHub assigns CVEs for the advisories. Before the AI apocalypse they took 2-3 days for an assignment but now it they are running at 3-4 weeks so I have to send the point releases out with CVE-PENDING in the changelog which isn't ideal.
A strange bottleneck; anyone know why that would be so slow?
As long as you are not running a paid bounty program. Otherwise now you are getting 40 per day.
Thank you so much for maintaining rclone! That project is literally the only thing that makes Google Drive an acceptable experience on Linux.
I feel like someone somewhere is working on an opensource GPU compute resource pool you guys could pull from as part of a donation type framework. I got a bunch of local gpu resources just relaxing, and if I could load up a a binary to provide compute for X hours a day overnight or whatever, that'd be cool.
I can’t comment on if it applies to your workflow, but one process I’ve used is to aggregate and land ~10 security patches at a time. Eg,
- grab a group of (related) bugs/defects/vulns
- fix them on a branch like bug-batch-XXX
- run that group through the verification, landing in main, CI/CD flow to amortize process cost
- repeat as needed to process backlog
My experience is that process often has irreducible time (eg, two days due to reviews by various parties); but that time slot can be shared between several bugs in a single PR — especially if you have several related to the same feature.
> even using AI tools to triage
Can you discuss this? I might be able to help.
> I was considering just merging the fixes straight to master just to make my life easier
I felt that. The problem with doing that is you hate yourself afterwards so not a good solution either, gotta do it properly.
Thanks for working on rclone, Nick!