cve-search is a tool to import CVE (Common Vulnerabilities and Exposures) and CPE (Common Platform Enumeration) into a MongoDB to facilitate search and processing of CVEs.
The main objective of the software is to avoid doing direct and public lookup into the public CVE databases. This is usually faster to do local lookups and limits your sensitive queries via the Internet.
The requirements can be installed with pip:
sudo pip3 install -r requirements.txt
First, you'll need to have a Python 3 installation (3.2 or 3.3 preferred). Then you need to install MongoDB (2.2) from source (this should also work with any standard packages from your favorite distribution). Don't forget to install the headers for development while installing MongoDB. You can go to http://docs.mongodb.org/manual/installation/ for to get the packages for your distribution, or http://www.mongodb.org/downloads for the source code.
For the initial run, you need to populate the CVE database by running:
./db_mgmt.py -p ./db_mgmt_cpe_dictionary.py ./db_updater.py -c
It will fetch all the existing XML files from the Common Vulnerabilities and Exposures database and the Common Platform Enumeration.
A more detailed documentation can be found in the Documentations folder of the project.
The MongoDB database is called cvedb and there are 8 collections:
An updater script helps to start the db_mgmt_*
You can run it in a crontab, logging is done in syslog by default.
You can search the database using search.py
./search.py -p cisco:ios:12.4 ./search.py -p cisco:ios:12.4 -o json ./search.py -f nagios -n ./search.py -p microsoft:windows_7 -o html
If you want to search all the WebEx vulnerabilities and only printing the official references from the supplier.
./search.py -p webex: -o csv -v "cisco"
You can also dump the JSON for a specific CVE ID.
./search.py -c CVE-2010-3333
Or you can use the XMPP bot
./search_xmpp.py -j firstname.lastname@example.org -p strongpassword
Or dump the last 2 CVE entries in RSS or Atom format
./dump_last.py -f atom -l 2
Or you can use the webinterface.
There is a ranking database allowing to rank software vulnerabilities based on their common platform enumeration name. The ranking can be done per organization or department within your organization or any meaningful name for you.
As an example, you can add a partial CPE name like "sap:netweaver" which is very critical for your accounting department.
./python3.3 db_ranking.py -c "sap:netweaver" -g "accounting" -r 3
and then you can lookup the ranking (-r option) for a specific CVE-ID:
./python3.3 search.py -c CVE-2012-4341 -r -n
As cve-search is based on a set of tools, it can be used and combined with standard Unix tools. If you ever wonder what are the top vendors using the term "unknown" for their vulnerabilities:
python3 search_fulltext.py -q unknown -f | jq -r '. | .vulnerable_configuration' | cut -f3 -d: | sort | uniq -c | sort -nr | head -10 1500 oracle 381 sun 372 hp 232 google 208 ibm 126 mozilla 103 microsoft 100 adobe 78 apple 68 linux
You can compare CVSS (Common Vulnerability Scoring System ) values of some products based on their CPE name. Like comparing oracle:java versus sun:jre and using R to make some statistics about their CVSS values:
python3 search.py -p oracle:java -o json | jq -r '.cvss' | Rscript -e 'summary(as.numeric(read.table(file("stdin"))[,1]))' Min. 1st Qu. Median Mean 3rd Qu. Max. 1.800 5.350 9.300 7.832 10.000 10.000 python3 search.py -p sun:jre -o json | jq -r '.cvss' | Rscript -e 'summary(as.numeric(read.table(file("stdin"))[,1]))' Min. 1st Qu. Median Mean 3rd Qu. Max. 0.000 5.000 7.500 7.333 10.000 10.000
If you want to index all the CVEs from your current MongoDB collection:
and you query the fulltext index (to get a list of matching CVE-ID):
./python3.3 search_fulltext.py -q NFS -q Linux
or to query the fulltext index and output the JSON object for each CVE-ID:
./python3.3 search_fulltext.py -q NFS -q Linux -j
The fulltext indexer visualization is using the fulltext indexes to build a list of the most common keywords used in CVE. NLTK is required to generate the keywords with the most common English stopwords and lemmatize the output. NTLK for Python 3 exists but you need to use the alpha version of NLTK.
./python3.3 search_fulltext.py -g -s >cve.json
You can see a visualization on the demo site.
The web interface is a minimal interface to see the last CVE entries and query a specific CVE. You'll need flask in order to run the website and Flask-PyMongo. To start the web interface:
cd ./web ./python3.3 index.py
Then you can connect on http://127.0.0.1:5000/ to browser the last CVE.
cve-search is free software released under the "Modified BSD license"
Copyright (c) 2012 Wim Remes - https://github.com/wimremes/ Copyright (c) 2012-2014 Alexandre Dulaunoy - https://github.com/adulau/ Copyright (c) 2014 Pieter-Jan Moreels - https://github.com/pidgeyl/