Abstract: Disclosed are systems and methods for execution of program code by an interpreter. One exemplary method comprises: generating intermediate instructions based on a unified grammar from instructions of the program code, beginning execution of the intermediate instructions in an emulated computer environment, in response to detecting an instruction of the program code associated with an object for which a rule of interpretation is not found, halting further execution of the intermediate instructions, obtaining an auxiliary code corresponding to the object, wherein a result of execution of the auxiliary code corresponds to the result of the execution of the object, and wherein the auxiliary code contains objects for which the interpreter has a rule of interpretation, executing the instructions of the auxiliary code; and after completion of the execution of the auxiliary code, resuming the execution of the intermediate instructions.

Abstract: Disclosed are systems and methods for execution of program code by an interpreter. One exemplary method comprises: generating intermediate instructions based on a unified grammar from instructions of the program code, beginning execution of the intermediate instructions in an emulated computer environment, in response to detecting an instruction of the program code associated with an object for which a rule of interpretation is not found, halting further execution of the intermediate instructions, obtaining an auxiliary code corresponding to the object, wherein a result of execution of the auxiliary code corresponds to the result of the execution of the object, and wherein the auxiliary code contains objects for which the interpreter has a rule of interpretation, executing the instructions of the auxiliary code; and after completion of the execution of the auxiliary code, resuming the execution of the intermediate instructions.

Abstract: Disclose are systems and methods for execution of program code by an interpreter. One exemplary method comprises: executing, by the interpreter, instructions of the program code in an emulated computer environment; when detecting, by the interpreter, an instruction of the program code associated with an unknown object for which the interpreter lacks a rule of interpretation, halting by the interpreter further execution of the instructions of the program code; obtaining, by the interpreter, an auxiliary code whose result of execution corresponds to the result of the execution of the unknown object, wherein the auxiliary code contains known objects for which the interpreter has a rule of interpretation; executing, by the interpreter, the instructions of the auxiliary code; and after completion of the execution of the auxiliary code, by the interpreter, resuming the execution of the instructions of the program code.

Abstract: Disclose are systems and methods for execution of program code by an interpreter. One exemplary method comprises: executing, by the interpreter, instructions of the program code in an emulated computer environment; when detecting, by the interpreter, an instruction of the program code associated with an unknown object for which the interpreter lacks a rule of interpretation, halting by the interpreter further execution of the instructions of the program code; obtaining, by the interpreter, an auxiliary code whose result of execution corresponds to the result of the execution of the unknown object, wherein the auxiliary code contains known objects for which the interpreter has a rule of interpretation; executing, by the interpreter, the instructions of the auxiliary code; and after completion of the execution of the auxiliary code, by the interpreter, resuming the execution of the instructions of the program code.

Abstract: Disclosed are exemplary aspects of systems and methods for blocking execution of scripts. An exemplary method comprises: intercepting a request for a script from a client to a server; generating a bytecode of the intercepted script; computing a hash sum of the generated bytecode; determining a degree of similarity between the hash sum of the bytecode and a plurality of hash sums of malicious and clean scripts stored in a database; identifying a similar hash sum from the database whose degree of similarity with the hash sum of the bytecode is within a threshold of similarity; determining a coefficient of trust of the similar hash sum; determining whether the requested script is malicious based on the degree of similarity and the coefficient of trust of the similar hash sum; and blocking the execution of the malicious script on the client.

Abstract: Disclosed are exemplary aspects of systems and methods for blocking execution of scripts. An exemplary method comprises: intercepting a request for a script from a client to a server; generating a bytecode of the intercepted script; computing a hash sum of the generated bytecode; determining a degree of similarity between the hash sum of the bytecode and a plurality of hash sums of malicious and clean scripts stored in a database; identifying a similar hash sum from the database whose degree of similarity with the hash sum of the bytecode is within a threshold of similarity; determining a coefficient of trust of the similar hash sum; determining whether the requested script is malicious based on the degree of similarity and the coefficient of trust of the similar hash sum; and blocking the execution of the malicious script on the client.

Abstract: Disclosed are exemplary aspects of systems and methods for detection of phishing scripts. An exemplary method comprises: generating a bytecode of a script; computing a hash sum of the generated bytecode; determining a degree of similarity between the hash sum of the bytecode and hash sums in one or more groups of hash sums of known phishing scripts; identifying at least one group of hash sums that contains a hash sum whose degree of similarity with the hash sum of the bytecode is within a threshold; determining a coefficient of compactness of the identified group of hash sums and a coefficient of trust of the identified group of hash sums; and determining whether the script is a phishing script based on the degree of similarity, the coefficient of compactness and the coefficient of trust.