# 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