Detection and filtration of phantom packages in large language model generated code

A system for detecting and filtering phantom packages in code generated by large language models, comprising:

• one or more processors;
• and
• a memory comprising instructions that, when executed by the one or more processors, cause the system to:
• comparing packages used in a first set of code to certain packages contained in one or more lists, wherein the comparing of the packages used in the first set of code to the certain packages in the one or more lists comprises comparing the packages used in the first set of code to first packages contained in a list of malicious packages and comparing the packages used in the first set of code to second packages contained in a list of permissible packages;
• identifying a list of phantom packages based on the comparing;
• analyzing a second set of code based on the list of phantom packages, wherein the analyzing of the second set of code based on the list of phantom packages comprises comparing respective packages in the second set of code to given packages contained in a list of malicious packages and to identified packages contained in the list of phantom packages;
• and
• automatically performing, based on the analyzing, an action that results in the second set of code not being executed within a computing environment.

A non-transitory computer readable medium comprising instructions that, when executed by one or more processors of a computing system, cause the computing system to:

• comparing packages used in a first set of code to certain packages contained in one or more lists, wherein the comparing of the packages used in the first set of code to the certain packages in the one or more lists comprises comparing the packages used in the first set of code to first packages contained in a list of malicious packages and comparing the packages used in the first set of code to second packages contained in a list of permissible packages;
• identifying a list of phantom packages based on the comparing;
• analyzing a second set of code based on the list of phantom packages, wherein the analyzing of the second set of code based on the list of phantom packages comprises comparing respective packages in the second set of code to given packages contained in a list of malicious packages and to identified packages contained in the list of phantom packages;
• and
• automatically performing, based on the analyzing, an action that results in the second set of code not being executed within a computing environment.