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ONGuard

The ONGuard (OSV Guard) service integrates OSV in order to retrieve CVE vulnerabilities from the given set of package urls (purls).

Upon receiving a collection of purls:

{
    "purls": [
        "pkg:maven/io.quarkus/[email protected]?type=jar",
        "pkg:maven/io.quarkus/[email protected]?type=jar"
    ]
}

The service will query the OSV REST API to retrieve the vulnerabilities associated to each of these purls and the OSV Service will return with a collection of vulnerabilities.

{
    "results": [
        {
            "vulns": [
                {
                    "id":  "GHSA-4f4r-wgv2-jjvg",
                    "modified": "2023-12-06T03:15:58.438241Z"
                },
                {
                    "id": "GHSA-c57v-hc7m-8px2",
                    "modified": "2023-04-11T01:26:48.949735Z"
                }
            ]
        },
        {
            "vulns": [

            ]
        }
    ]
}

We need to expand each of these vulnerability IDs and for that the service will call retrieve the OSV data that contains useful remediation information, aliases (including the CVE), summary, title and metrics.

That means the service has to perform 2 requests:

  • OSV /vulns/{vulnId}

As you can imagine. That implies (number of vulnerabilities) + 1 requests for each request. Where in a normal-sized Java project with 150 dependencies (direct and transitive) will be 101 HTTP requests.

For that we have added a Redis cache in order to cache the individual requests to OSV.

The final result of the aggregated data will look like this:

{
    "pkg:maven/io.quarkus/[email protected]?type=jar": [
        {
            "cveId": "CVE-2023-4853",
            "created": "2024-02-02T06:56:20.584+00:00",
            "summary": "Quarkus HTTP vulnerable to incorrect evaluation of permissions",
            "description": "A flaw was found in Quarkus where HTTP security ...",
            "affected": [
                {
                    "package": {},
                    "ranges": [],
                    "versions": []
                }
            ],
            "severity": [
                {
                    "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
                    "type": "CVSS_V3"
                }
            ]
        }
    ]
}

Endpoints

The ONGuard service provides the following service endpoints:

POST /purls

This endpoint resolves the package urls into public CVEs.

GET /vulnerabilities/{vulnerabilityID}

Retrieves the public CVE data for the given Vulnerability ID. If this ID is not a CVE (e.g. GHSA) the associated CVE will be returned, if exists.

POST /vulnerabilities

Retrieves the public CVE data for the given Vulnerability IDs in JSON format.

[
    "vulnId-1",
    "vulnId-2"
]

OpenAPI Schema

The OpenAPI Schema can be retrieved in the management endpoint at http://localhost:9000/q/openapi

Running the application

Running the application locally

The application depends on Redis and uses the JSON capability. You can either connect to an existing instance or use the TestContainers framework to spin up one for you.

Using Redis with TestsContainers

In this case, as it is the default configuration, you only need to provide the apiKey.

./mvnw compile quarkus:dev

Connecting to an existing Redis database

In this case I will use podman to start an instance. Note that I use the redis-stack instance because it contains the JSON capability. I also expose the port 8001 for connecting to the Redis Insights instance.

podman run -d --rm -p 6379:6379 -p 8001:8001 --name redis-stack redis/redis-stack:latest

You can run your application in dev mode that enables live coding using:

./mvnw compile quarkus:dev -Dquarkus.redis.hosts=redis://localhost:6379/

Packaging and running the application

The application can be packaged using:

./mvnw package

It produces the quarkus-run.jar file in the target/quarkus-app/ directory. Be aware that it’s not an über-jar as the dependencies are copied into the target/quarkus-app/lib/ directory.

The application is now runnable using java -jar target/quarkus-app/quarkus-run.jar.

If you want to build an über-jar, execute the following command:

./mvnw package -Dquarkus.package.type=uber-jar

The application, packaged as an über-jar, is now runnable using java -jar target/*-runner.jar.

Creating a native executable

You can create a native executable using:

./mvnw package -Pnative

Or, if you don't have GraalVM installed, you can run the native executable build in a container using:

./mvnw package -Pnative -Dquarkus.native.container-build=true

You can then execute your native executable with: ./target/onguard-<version>-runner

If you want to learn more about building native executables, please consult https://quarkus.io/guides/maven-tooling.

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