Vulnerability reports are not special anymore (words.filippo.io)

Article summary

The article discusses how vulnerability reports are no longer special due to the increased ability of Large Language Models (LLMs) to find bugs, making the insight and confidentiality provided by security researchers less scarce. This shift changes the dynamics of vulnerability reporting, with the author arguing that the traditional approach of responding quickly and providing attribution may no longer be necessary. The article also touches on the issue of spam and low-quality reports, and how this can be mitigated. The author suggests that the focus should now be on triage, rapid remediation, and prevention.

Main themes

• Vulnerability reporting
• Large Language Models
• Security research
• Spam and low-quality reports
• Triage and remediation
• Open source maintenance

What commenters say

• The influx of low-quality vulnerability reports generated by LLMs has made it difficult for companies to distinguish between genuine and spam reports.
• Requiring a small payment for vulnerability disclosure could help deter spammers, but it may also discourage legitimate researchers from reporting vulnerabilities.
• Some argue that vulnerability reports should still be treated as special and that trust relationships with individual researchers are essential, while others believe that this approach is no longer effective.
• The current system of vulnerability reporting is flawed, with many reports being marked as high-severity when they are not, and a new approach is needed to address the signal-to-noise problem.
• Companies should focus on isolating dependencies and prioritizing vulnerabilities based on their actual impact, rather than just updating dependencies without careful consideration.
• The use of LLMs to generate vulnerability reports has created a new challenge for security teams, who must now sift through a large number of low-quality reports to find genuine vulnerabilities.
• Some propose that a payment/refund system could help to filter out spam reports, but others argue that this approach is not feasible or effective.
• The CVE classification system should be improved to address the signal-to-noise problem and provide a more accurate assessment of vulnerability severity.