Finding potential software vulnerabilities from Git commit messages

In case anyone else was curious, the regular expression used is:

vulnpatterns = re.compile("(?i)(denial of service |\bXX E\b|remote code execution|\bopen redirect|OSVDB|\bvuln|\bCVE\b |\bXSS\b|\bReDoS\b|\bNVD\b|malicious|x−frame−options|attack|cross site |exploit|malicious|directory traversal |\bRCE\b|\bdos\b|\bXSRF \b|\bXSS\b|clickjack|session.fixation|hijack|\badvisory|\binsecure |security |\bcross−origin\b|unauthori[z|s]ed |infinite loop)")

This reminds me of a paper from google, where they try to determine how risky a change to a file is, according to its commit history. Given you use semantic commit messages, you can just look on the number of fix() commits and infer a risk level. Later, depending on the calculated risk, you may run a different set of tests.