Stenberg expressed concern over the rise of AI-generated vulnerability reports that misrepresent issues for reputation or monetary gain. Although these reports aren't overwhelming the industry, their quality often shows signs of being AI-generated, such as overly polished language and structure. Stenberg has communicated with HackerOne regarding this issue and seeks stronger actions to mitigate the problem. He also discussed potential filtering strategies, like requiring a bond for report evaluations, to reduce the influx of low-quality submissions and improve overall report quality.
More tools to strike down this behavior
I'm super happy that the issue [is getting] attention so that possibly we can do something about it [and] educate the audience that this is the state of things.
One way you can tell is it's always such a nice report. Friendly phrased, perfect English, polite, with nice bullet-points ... an ordinary human never does it like that in their first writing.
I would like them to do something, something stronger, to act on this. I would like help from them to make the infrastructure around [AI tools] better.
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