This dataset comprises application and OS vulnerabilities aggregated from multiple sources, including OSV, GitHub, NVD, and Linux vendor feeds, in the form of SQLite data files (.vdb6).

Vulnerability Data sources

Linux vuln-list
OSV (1)
NVD
GitHub

Linux distros

AlmaLinux
Debian
Alpine
Amazon Linux
Arch Linux
RHEL/CentOS
Rocky Linux
Ubuntu
OpenSUSE
Photon
Chainguard
Wolfi OS

Database files

The vulnerability database comprises two SQLite database files.

data.index.vdb6 - A smaller index database optimized for quick purl or cpe string searches and vers-based range comparisons.

data.vdb6 - Full CVE source database containing normalized data in CVE 5.1 specification formation and purl prefix.

Folders

app - Application only vulnerabilities from 2018
app-10y - Application only vulnerabilities from 2014
app-os - Application and OS vulnerabilities from 2018
app-os-10y - Application and OS vulnerabilities from 2014

Download data.vdb6 and data.index.vdb6 files from a single folder of your choice.

Searching for CVEs

Use the smaller index database for all search operations.

Searching by purl

Given a purl string (purl_str), perform the following steps to convert this into a suitable purl prefix (purl_prefix) string:

In most cases, a purl prefix is a substring at index 0 after a split by "@". Eg: purl_prefix = purl_str.split("@")[0].

A more robust approach:

Parse and validate the string using a suitable library. Retain the parsed purl object (purl_obj)
Construct a purl prefix string with the following logic:
- Set the value for purl_prefix to "pkg:" + purl_obj["type"]
- If there is a namespace, append it to purl_prefix after the slash character. Eg: purl_prefix = purl_prefix + "/" + purl_obj['namespace']
- Optional for Linux distros: If there is a qualifier string with the name distro_name, append it to the purl_prefix after the slash character. Eg: purl_prefix = purl_prefix + "/" + purl_obj['qualifiers']['distro_name']
- Append the name after the slash character. Eg: purl_prefix = purl_prefix + "/" + purl_obj['name']

Use the below SQL query to search by purl_prefix:

SELECT DISTINCT cve_id, type, namespace, name, vers, purl_prefix FROM cve_index where purl_prefix = ?;

Searching by cpe

Parse the cpe string to extract the vendor, product, and version. The regex for python is shown below:

import re

CPE_FULL_REGEX = re.compile(
    "cpe:?:[^:]+:(?P<cve_type>[^:]+):(?P<vendor>[^:]+):(?P<package>[^:]+):(?P<version>[^:]+):(?P<update>[^:]+):(?P<edition>[^:]+):(?P<lang>[^:]+):(?P<sw_edition>[^:]+):(?P<target_sw>[^:]+):(?P<target_hw>[^:]+):(?P<other>[^:]+)"
)

In the cve_index table, vendor maps to namespace and package maps to name. The SQL query is below:

SELECT DISTINCT cve_id, type, namespace, name, vers, purl_prefix FROM cve_index where namespace = ? AND name = ?;

Comparing version ranges using vers

Refer to the vers documentation for information regarding vers and a logic to parse and check if a version is within a range. To simplify the logic, a value from the vers column in cve_index would contain only a maximum of two constraints (one greater than and one lesser than).

Combining data

Search the cve_index table in the index database first to retrieve any matching cve_id and purl_prefix values. Use these two column values to retrieve the full CVE source information from the cve_data table. An example query is shown below:

SELECT DISTINCT cve_id, type, namespace, name, source_data_hash, json(source_data), json(override_data), purl_prefix FROM cve_data
    WHERE cve_id = ? AND purl_prefix = ?
    GROUP BY purl_prefix
    ORDER BY cve_id DESC;

Use the source_data_hash values to filter out any duplicate results for the same CVE. Duplicate results are possible when multiple vers match the same CVE and purl prefixes.

Citation

Use the below citation in your research.

@misc{vdb,
  author = {Team AppThreat},
  month = Feb,
  title = {{AppThreat vulnerability-db}},
  howpublished = {{https://huggingface.co/datasets/AppThreat/vdb}},
  year = {2025}
}