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. 2020 Mar 24;15(3):e0230250. doi: 10.1371/journal.pone.0230250

Table 4. Examples of tweets with vulnerabilities spread by users predicted to be bots versus humans.

Bot High CVE-2017-8890: Linux Linux kernel https://t.co/OIrRZRQDYs#CVE#InfoSec#Vulnerability#cybersecurity
Medium CVE-2017-9058: Ytnef project Ytnef https://t.co/8lYRLvBP0M#CVE#InfoSec#Vulnerability#cybersecurity
Medium CVE-2017-14702: Ersdata Ers data system https://t.co/vnYDhHIBHc#CVE#InfoSec#Vulnerability#cybersecurity
Human Almost all WordPress websites could be taken down due to unpatched CVE-2018-6389 DoS flaw
CVE-2017-5638 means Equifax did not patch S2-045 released in March