https://www.cvedetails.com/cve/CVE-2015-8618/
I applied for a bug bounty, but alas was turned down as Go isn't a Google service and it wasn't in scope for the Patch Reward Program.
I did get into the hall of fame though!
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https://www.cvedetails.com/cve/CVE-2015-8618/
I applied for a bug bounty, but alas was turned down as Go isn't a Google service and it wasn't in scope for the Patch Reward Program.
I did get into the hall of fame though!
Offtopic: What's with the hyper narrow width on this page? Looks like this on a 1440p monitor (ubuntu, chrome) http://i.imgur.com/m9YWcNj.png
I prefer narrow columns for reading personally. Snap the article window to the side and scale it down for maximum enjoyment.
Earlier quoted context omitted.
What's the general signal to noise ratio for bug reports?
Generally in the world of bug bounty programs, the signal-to-noise ratio (SNR) is around 10-20%. Even at this low rate, it is not too bad. Let's say you receive 10 reports. You can relatively quickly identify the 8-9 noisy reports to find the 1-2 valid ones. Of course, a higher SNR is always better. It saves you time and effort. On HackerOne, the average SNR across all programs is over 30%. The platform can automatic…
So if a new user of the platform, finds a valid or high impact bug, will be unable to report... less noise but a high value bug unreported in that case...
Such as
White widow
Purple haze
Afghan kush
Durban poison
And lot more Contact: hackjam600@gmail.com
Earlier quoted context omitted.
That bug is extremely common, and the source is always the use of soft-deletes in the database. When you view the list of items (ex: inbox), the database query includes a "WHERE deleted = false" to exclude rows which have been soft-deleted. When viewing a single item (ex: message) the URL contains a unique identifier, whether an auto-increment integer, UID, etc. The query used to load one item is "WHERE id = :id" ins…
It's issues like this that really highlight the benefits of shuffling deleted data to a separate archive table through triggers, or leveraging temporal tables. It may not necessarily be as efficient as maintaining a flag, but it dryastically reduces the mental overhead placed on users of the database.
Earlier quoted context omitted.
On Quora someone asked what the longest search query time was. I was able to craft a query that took multiple seconds to complete. It used wildcards and undocumented iteration allowing one to stuff thausands of queries into a single query. Turns out it is someone's job to measure result response times, and he/she came into the thread to kindly ask us to stop messing up their statistics.
This is his answer: "I work on search at Google, and I have to say, very clever answers! Now, please stop. :-p" I don't think that he did it because it's his job to stop random people on the Internet from running slow queries. I think she was just surprised how creative people are and found it funny.
Earlier quoted context omitted.
I'm similarly surprised we haven't heard of a AI augmented fuzzer that's been unleashed on random domains to just "try shit out." Seems like a good way to find weird little bugs. Then again, the scope of the "problem" is so massive, and the "rewards" (shit to flag as "yea check this out more") so vague, I don't even know how you'd begin.
If the good people don't do it soon, the bad people will...
Earlier quoted context omitted.
This is his answer: "I work on search at Google, and I have to say, very clever answers! Now, please stop. :-p" I don't think that he did it because it's his job to stop random people on the Internet from running slow queries. I think she was just surprised how creative people are and found it funny.
Both a 'he' and a 'she'. Is that what it takes to pass the whiteboard b-tree reversal interviews these days?
I found a bug in wickr where I can re-read "deleted" messages. I submitted it, answered their teams questions about reproducing it. A couple of weeks later, they said they can't fix it and didn't pay me :( I got all my wickr contacts to switch to signal, which is much less buggy...
That bug is extremely common, and the source is always the use of soft-deletes in the database. When you view the list of items (ex: inbox), the database query includes a "WHERE deleted = false" to exclude rows which have been soft-deleted. When viewing a single item (ex: message) the URL contains a unique identifier, whether an auto-increment integer, UID, etc. The query used to load one item is "WHERE id = :id" ins…