adulau/cpe-guesser
1
0
Fork 0
mirror of https://github.com/cve-search/cpe-guesser.git synced 2024-11-14 19:08:27 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

Lint markdown & add syntax highlighting

Browse source
This commit is contained in:
Esa Jokinen 2024-04-06 09:16:07 +03:00
parent 693cf4958b
commit de822509d8
1 changed files with 17 additions and 14 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

31
README.md
View file

@ -24,7 +24,7 @@ Or by calling the Web server (After running `server.py`), example: `curl -s -X P
4. Take a cup of black or green tea ().
5. `python3 ./bin/server.py` to run the local HTTP server.
If you don't want to install it locally, there is a public online version. Check below.
If you don't want to install it locally, there is a public online version. Check below.
### Docker
@ -55,9 +55,11 @@ If you do not want to use the Web server, `lookup.py` can still be used. Example
[cpe-guesser.cve-search.org](https://cpe-guesser.cve-search.org) is public online version of CPE guesser which can be used via
a simple API. The endpoint is `/search` and the JSON is composed of a query list with the list of keyword(s) to search for.
~~~~
```bash
curl -s -X POST https://cpe-guesser.cve-search.org/search -d "{\"query\": [\"outlook\", \"connector\"]}" | jq .
```
```json
[
[
18117,
@ -72,11 +74,11 @@ curl -s -X POST https://cpe-guesser.cve-search.org/search -d "{\"query\": [\"out
"cpe:2.3:a:oracle:corporate_time_outlook_connector"
]
]
~~~~
```
### Command line - `lookup.py`
~~~~
```text
usage: lookup.py [-h] WORD [WORD ...]
Find potential CPE names from a list of keyword(s) and return a JSON of the results
@ -86,11 +88,13 @@ positional arguments:
optional arguments:
-h, --help show this help message and exit
~~~~
```
~~~~
```bash
python3 lookup.py microsoft sql server | jq .
```
```json
[
[
51325,
@ -129,13 +133,13 @@ python3 lookup.py microsoft sql server | jq .
"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.
~~~
```xml
<cpe-item name="cpe:/a:10web:form_maker:1.7.17::~~~wordpress~~">
<title xml:lang="en-US">10web Form Maker 1.7.17 for WordPress</title>
<references>
@ -143,17 +147,16 @@ A CPE entry is composed of a human readable name with some references and the st
</references>
<cpe-23:cpe23-item name="cpe:2.3:a:10web:form_maker:1.7.17:*:*:*:*:wordpress:*:*"/>
</cpe-item>
~~~
```
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
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
@ -161,7 +164,7 @@ cpe (vendor:product) per version to give a probability of the CPE appearance.
- `w:<word>` set
- `s:<word>` sorted set with a score depending of the number of appearance
# License
## License
Software is open source and released under a 2-Clause BSD License