| 摘要 |
A method for detecting a malicious script is provided. A plurality of distribution eigenvalues are generated according to a plurality of function names of a web script. After the distribution eigenvalues are inputted to a hidden markov model (HMM), probabilities respectively corresponding to a normal state and an abnormal state are calculated. Accordingly, whether the web script is malicious or not can be determined according to the probabilities. Even an attacker attempts to change the event order, insert a new event or replace an event with a new one to avoid detection, the method can still recognize the intent hidden in the web script by using the HMM for event modeling. As such, the method may be applied in detection of obfuscated malicious scripts. |
