# CPE guesser CPE guesser is a command-line or web service to guess the CPE name based on one or more keyword(s). Then the result can be used against [cve-search](https://github.com/cve-search/cve-search) to do actual searches by CPE names. ## Requirements - Redis - Python ## Usage To use CPE guesser, you have to initialise the Redis database with `import.py`. Then you can use the software with `lookup.py` to find the most probable CPE matching the keywords provided. ### Command line - `lookup.py` ~~~~ usage: lookup.py [-h] [--word WORD] Find potential CPE names from a list of keyword(s) and return a JSON of the results optional arguments: -h, --help show this help message and exit --word WORD One or more keyword(s) to lookup ~~~~ ~~~~ python3 lookup.py --word microsoft --word sql --word server | jq . [ [ 51076, "cpe:2.3:a:microsoft:sql_server_2017_reporting_services" ], [ 51077, "cpe:2.3:a:microsoft:sql_server_2019_reporting_services" ], [ 57612, "cpe:2.3:a:quest:intrust_knowledge_pack_for_microsoft_sql_server" ], [ 60090, "cpe:2.3:o:microsoft:sql_server" ], [ 60660, "cpe:2.3:a:microsoft:sql_server_desktop_engine" ], [ 64489, "cpe:2.3:a:microsoft:sql_server_reporting_services" ], [ 75465, "cpe:2.3:a:microsoft:sql_server_management_studio" ], [ 77161, "cpe:2.3:a:microsoft:sql_server" ], [ 77793, "cpe:2.3:a:ibm:tivoli_storage_manager_for_databases_data_protection_for_microsoft_sql_server" ] ] ~~~~ ## How does this work? A CPE entry is composed of a human readable name with some references and the structured CPE name. ~~~ 10web Form Maker 1.7.17 for WordPress Change Log ~~~ The CPE name is structured with a vendor name, a product name and some additional information. CPE name can be easily changed due to vendor name or product name changes, some vendor/product are sharing common names or name is composed of multiple words. ### Data Split vendor name and product name (such as `_`) into single word(s) and then canonize the word. Building an inverse index using the cpe vendor:product format as value and the canonized word as key. Then cpe guesser creates a ranked set with the most common cpe (vendor:product) per version to give a probability of the CPE appearance. ### Redis structure - `w:` set - `s:` sorted set with a score depending of the number of appearance # License Software is open source and released under a 2-Clause BSD License Copyright (C) 2021 Alexandre Dulaunoy