Flashpoint, the global leader in risk intelligence, today announced an industry-first ransomware prediction model that enables vulnerability management teams to improve remediation efforts and prevent cyber extortion events with VulnDB, the most comprehensive vulnerability database available.
According to the US Treasury Department, financial institutions reported $1.2 billion in ransomware-related costs in 2021, nearly double the likelihood that banks reported in 2020 of a given vulnerability being exploited in a future ransomware attack could become.
“The risk of falling victim to a ransomware attack can be radically reduced with the right intelligence,” said Jake Kouns, Flashpoint general manager. “Our ransomware prediction algorithm coupled with our vulnerability intelligence is a must-have for security teams looking to remediate vulnerabilities that could help them forestall a potentially destructive ransomware attack.”
VulnDB covers over 300,000 known vulnerabilities found in end-user software and third-party libraries and dependencies, including over 96,000 vulnerabilities missed by CVE and NVD. For each of these vulnerabilities, including newly disclosed issues, Flashpoint’s ransomware prediction model determines a ransomware likelihood score derived from a combination of factors including exploit availability, attack type, impact, disclosure pattern, and other characteristics captured by VulnDB. This information is critical to vulnerability management teams, who often lack the resources and context they need to efficiently prioritize and patch the tens of thousands of vulnerabilities disclosed each year.