dtapac

Audit Dependency-Track findings and policy violations via policy as code

Consider this project to be a proof-of-concept. It is not very sophisticated, but it gets the job done. Try it in a test environment first. Do not skip this step, do not run it in production without prior testing!

Introduction

Dependency-Track offers a fairly sophisticated auditing workflow for vulnerabilities and policy violations. However, this workflow is scoped to individual findings or policy violations right now.

I often found myself wanting a mechanism that lets me make more generalized audit decisions that would affect multiple (and sometimes even all) projects in my portfolio. While the most common use case for something like this is definitely suppressing false positives, there are times when other audit actions are desirable as well. A suppression file as seen in projects like Dependency-Check simply won't cut it.

Using scripts to mass-apply analyses works, but then you're stuck with re-running that script everytime the thing you analysed pops up in another project or project version. Not cool. Individual scripts also don't scale well, sharing with team members is tedious.

I've written a fair share of tools that provide the desired functionality based on some kind of configuration file, but I quickly came to the realization that configuration files are too limiting for my needs. Not only are they not a good fit for dynamic decisions, they are also a pain to test.

It turns out that you can have your cake and eat it too using policy as code. The most popular implementation of PaC probably being Open Policy Agent (OPA).

Think of dtapac as a bridge between Dependency-Track and OPA.

Note that dtapac as it stands now is not intended for performing all auditing through it. It's not a complete replacement for manual auditing. Use it for decisions that are likely to affect larger parts of your portfolio. Check the example policies to get an idea of what dtapac can be used for.

How it works

Ad-hoc auditing through notifications

The main way that dtapac uses to integrate with Dependency-Track is by consuming notifications (aka alerts). When receiving a NEW_VULNERABILITY or POLICY_VIOLATION notification, dtapac will immediately query OPA for an analysis decision.

sequenceDiagram
    autonumber
    actor Client
    Client->>Dependency-Track: Upload BOM
    Dependency-Track->>Dependency-Track: Analyze BOM
    alt New Vulnerability identified
        Dependency-Track->>dtapac: NEW_VULNERABILITY notification
    else Policy Violation identified
        Dependency-Track->>dtapac: POLICY_VIOLATION notification
    end
    dtapac->>OPA: Query analysis decision
    OPA->>OPA: Evaluate policy
    OPA->>dtapac: Analysis decision
    dtapac->>Dependency-Track: Query existing analysis
    Dependency-Track->>dtapac: Analysis
    dtapac->>dtapac: Compare analyses
    opt Analysis has changed
        dtapac->>Dependency-Track: Update analysis
    end

dtapac will only submit the resulting analysis if it differs from what's already recorded in Dependency-Track. This ensures that the audit trail won't be cluttered with redundant information, even if dtapac receives multiple notifications for the same finding or policy violation.

Note that this also means that if you make changes to an analysis that dtapac applied for you in Dependency-Track, dtapac will override it during its next execution. This is by design.

Portfolio auditing on policy change

If configured, dtapac can listen for status updates from OPA. dtapac will keep track of the revision of the policy bundle, and trigger a portfolio-wide analysis when it changes.

sequenceDiagram
    autonumber
    loop Periodically
        OPA->>Nginx: Pull Bundle
        Nginx->>OPA: archive
    end
    loop Periodically
        OPA->>dtapac: Status
        dtapac->>dtapac: Compare reported bundle revision with last-known
        opt Bundle revision changed
            dtapac->>Dependency-Track: Fetch all projects
            Dependency-Track->>dtapac: Projects
            loop For each project
                dtapac->>Dependency-Track: Fetch all findings & policy violations
                Dependency-Track->>dtapac: Findings & policy violations
                loop For each finding & policy violation
                    dtapac->>OPA: Query analysis decision
                    OPA->>OPA: Evaluate policy
                    OPA->>dtapac: Analysis decision
                    dtapac->>Dependency-Track: Query existing analysis
                    Dependency-Track->>dtapac: Analysis
                    dtapac->>dtapac: Compare analyses
                    opt Analysis has changed
                        dtapac->>Dependency-Track: Update analysis
                    end
                end
            end
        end
    end

This makes it possible to have new policies applied to the entire portfolio shortly after publishing them, without the need to restart any service or edit files on any server.

Shortcomings

Some limitations of dtapac that you should be aware of before using it:

No retries. If an analysis decision could not be submitted to Dependency-Track for any reason, it won't be retried.
No persistence. If you stop dtapac while it's still processing something, that something is gone.
No access control. dtapac trusts that whatever is inside the notifications it receives is valid. Notifications can be forged. Expose dtapac to an internal network or use a service mesh.
- Webhook authentication is a planned feature in Dependency-Track.

Usage

USAGE
  dtapac [FLAGS...]

Audit Dependency-Track findings and policy violations via policy as code.

FLAGS
  -config ...                 Path to config file
  -dry-run=false              Only log analyses but don't apply them
  -dtrack-apikey ...          Dependency-Track API key
  -dtrack-url ...             Dependency-Track API server URL
  -finding-policy-path ...    Policy path for finding analysis
  -host 0.0.0.0               Host to listen on
  -log-json=false             Output log in JSON format
  -log-level info             Log level
  -opa-url ...                Open Policy Agent URL
  -port 8080                  Port to listen on
  -violation-policy-path ...  Policy path for violation analysis
  -watch-bundle ...           OPA bundle to watch

All options can alternatively be provided via configuration file and environment variables.

Writing Policies

The basic idea is that a policy receives a finding or policy violation as input and returns an analysis.

OPA's policy language is powerful yet concise and is a perfect fit for our use case.

Please take a moment to read a little about OPA and Rego. I can also recommend the Rego style guide for a little more hands-on advice.

Structure

Policies written in Rego are designed to return either one or multiple results. If a policy is written in a way that only allows for a single result, OPA will fail when multiple rules match the given input. If a policy allows for multiple results, OPA (per default) makes no guarantees regarding the order in which results are returned.

This behavior is problematic for dtapac for the following reasons:

For any given finding or violation, there should always be exactly one analysis, or none at all
- Multiple analyses for the same finding make no sense
It is inevitable that multiple policy rules match
- If one rule matches on vulnerability V, and another on component C, both will match an alert about C being affected by V
If multiple rules match, which one should be applied?
- Auditing should be deterministic. If the output of results has no guaranteed order, what's the correct result?

Luckily, OPA provides a way to indicate that the first matching rule should take precedence over others: else. Policies for dtapac thus must be more or less a single if-else-statement (refer to the example policies to see how that looks like).

You as policy author have to ensure that you define your rules in an order that fits your requirements. For example, ordering them by applicability from broad to specific:

Guidelines

Policies for dtapac must adhere to the following guidelines:

Result MUST be named analysis
Result MUST be an object
There MUST be exactly one result named analysis
- In case of conflicting rules, use else
- Incremental definitions are NOT supported
If no rule is matched, an empty object MUST be returned
- Use default analysis = {} for this
Policies for findings and violations MUST be in separate packages
- For example, use package dtapac.finding for findings and package dtapac.violation for violations

Have a look at the example policies at ./examples/policies if you need inspiration.

Inputs

Finding

For findings, the input document is structured as follows:

{
  "component": {},
  "project": {},
  "vulnerability": {}
}

The available properties of those fields are documented here:

Obviously not all properties are always available.

Example

{
  "component": {
    "group": "com.h2database",
    "isInternal": false,
    "md5": "18c05829a03b92c0880f22a3c4d1d11d",
    "name": "h2",
    "purl": "pkg:maven/com.h2database/[email protected]?type=jar",
    "sha1": "f7533fe7cb8e99c87a43d325a77b4b678ad9031a",
    "sha256": "3ad9ac4b6aae9cd9d3ac1c447465e1ed06019b851b893dd6a8d76ddb6d85bca6",
    "sha512": "d1ed996ff57ac22ab10cfcd1831633de20be80982f127f8ab4fdd59bef37457c0882c67ae825d8070c4d9599de93e80ff3860ae9ab66f1102f3b9e8eddb4d883",
    "uuid": "f1f6fd0a-6dbb-4aab-a1f4-9b0c21754ee8",
    "version": "1.4.200"
  },
  "project": {
    "name": "acme-app",
    "tags": [
      {
        "name": "env/production"
      }
    ],
    "uuid": "8f8203ab-42e0-4d86-a452-a219f5c68daf",
    "version": "1.2.3"
  },
  "vulnerability": {
    "cvssV2BaseScore": 10,
    "cvssV3BaseScore": 9.8,
    "description": "H2 Console before 2.1.210 allows remote attackers to execute arbitrary code via a jdbc:h2:mem JDBC URL containing the IGNORE_UNKNOWN_SETTINGS=TRUE;FORBID_CREATION=FALSE;INIT=RUNSCRIPT substring, a different vulnerability than CVE-2021-42392.",
    "source": "NVD",
    "uuid": "21d0e27a-c05f-40b8-a986-0e1c19fb288e",
    "vulnId": "CVE-2022-23221"
  }
}

Violation

For policy violations, the input document is structured as follows:

{
  "component": {},
  "project": {},
  "policyViolation": {}
}

The available properties of those fields are documented here:

Example

{
  "component": {
    "group": "com.h2database",
    "isInternal": false,
    "md5": "18c05829a03b92c0880f22a3c4d1d11d",
    "name": "h2",
    "purl": "pkg:maven/com.h2database/[email protected]?type=jar",
    "sha1": "f7533fe7cb8e99c87a43d325a77b4b678ad9031a",
    "sha256": "3ad9ac4b6aae9cd9d3ac1c447465e1ed06019b851b893dd6a8d76ddb6d85bca6",
    "sha512": "d1ed996ff57ac22ab10cfcd1831633de20be80982f127f8ab4fdd59bef37457c0882c67ae825d8070c4d9599de93e80ff3860ae9ab66f1102f3b9e8eddb4d883",
    "uuid": "f1f6fd0a-6dbb-4aab-a1f4-9b0c21754ee8",
    "version": "1.4.200"
  },
  "policyViolation": {
    "uuid": "9e3330f7-40f6-4121-a5f2-13fc67c4e36d",
    "type": "OPERATIONAL",
    "policyCondition": {
      "uuid": "6159e278-26f1-490c-921b-e6d3adf0ee4b",
      "operator": "MATCHES",
      "subject": "COORDINATES",
      "value": "{\"group\":\"*\",\"name\":\"h2\",\"version\":\"*\"}",
      "policy": {
        "uuid": "8fc2b2fd-2535-4e45-8d73-ffc1cce0ff13",
        "name": "ACME Policy",
        "violationState": "FAIL"
      }
    }
  },
  "project": {
    "name": "acme-app",
    "tags": [
      {
        "name": "env/production"
      }
    ],
    "uuid": "8f8203ab-42e0-4d86-a452-a219f5c68daf",
    "version": "1.2.3"
  }
}

Results

Finding

A finding analysis has the same fields as in the Dependency-Track UI:

{
  "state": "",
  "justification": "",
  "response": "",
  "details": "",
  "comment": "",
  "suppress": false
}

You can set all fields, or none. No field is strictly required, but it's good practice to at least provide a state, and a comment or justification.

Example

{
  "state": "EXPLOITABLE",
  "details": "Exploitable because I say so."
}

Violation

A violation analysis has the same fields as in the Dependency-Track UI:

{
   "state": "",
   "comment": "",
   "suppress": false
}

Example

{
   "state": "APPROVED",
   "comment": "Bill paid me to approve all his violations.",
   "suppress": true
}

Policy Management

It is generally a good idea to keep your policies in their own Git repository. Treat it just like any other code in your SDLC:

Write tests
Create pull requests
Perform code reviews
Have a CI pipeline

In your policy CI pipeline, you should:

Check your policies using strict mode and schemas
- You can use the input schemas in ./examples/schemas
- If you want to write your own schemas, be aware of the limitations
Test your policies
Package your policies into a bundle
- Always set a revision (using the Git commit hash makes sense)
(Optional) Push the bundle to a server compatible with OPA's bundle API

Check out the Policy CI workflow if you need some inspiration.

Deployment

A quick walk through for how to deploy dtapac with OPA and NGINX as bundle server. We're going to use Docker Compose with examples/deployment/with-bundleserver/docker-compose.yml here. Adapt to your existing Dependency-Track deployment as necessary.

Preparation

Pull images for Dependency-Track, OPA and NGINX, and build the dtapac image:

docker-compose -f ./examples/deployment/with-bundleserver/docker-compose.yml pull
docker-compose -f ./examples/deployment/with-bundleserver/docker-compose.yml build --pull

Launch Dependency-Track:

docker-compose -f ./examples/deployment/with-bundleserver/docker-compose.yml up -d dtrack

Navigate to http://localhost:8080 and perform the usual setup.

Get an API key

For dtapac to be able to use the Dependency-Track API, it needs an API key with the following permissions:

Permission	Reason
`VIEW_PORTFOLIO`	Fetch project + component info
`VIEW_VULNERABILITY`	Fetch findings + vulnerability info
`VULNERABILITY_ANALYSIS`	Apply analyses to findings
`VULNERABILITY_MANAGEMENT`	Fetch vulnerability info
`VIEW_POLICY_VIOLATION`	Fetch policy violations
`POLICY_VIOLATION_ANALYSIS`	Apply analyses to policy violations

It's recommended to create a dedicated team for dtapac, like so:

Setup dtapac

Provide the API key to dtapac via DTRACK_APIKEY environment variable:

# docker-compose.yml

services:
  # ...
  dtapac:
    # ...
    environment:
      # ...
      DTRACK_APIKEY: "apiKeyFromAbove"

Launch dtapac:

docker-compose -f ./examples/deployment/with-bundleserver/docker-compose.yml up -d dtapac

Setup OPA

Create a policy bundle from the example policies:

make build-example-bundle

The bundle will be created in examples/bundles as dtapac.tar.gz. The bundles directory is mounted into the NGINX container, so that it can be served to OPA.

Launch OPA and NGINX:

docker-compose -f ./examples/deployment/with-bundleserver/docker-compose.yml up -d opa

Verify that OPA successfully fetched the bundle by inspecting its logs:

docker-compose -f ./examples/deployment/with-bundleserver/docker-compose.yml logs opa

You should see a log entry that says something along the lines of:

{"level":"info","msg":"Bundle loaded and activated successfully. Etag updated to \"628fc22c-31b\".","name":"dtapac","plugin":"bundle","time":"2022-06-22T20:48:56Z"}

Starting OPA should've also triggered a portfolio analysis in dtapac. Verify by inspecting its logs:

docker-compose -f ./examples/deployment/with-bundleserver/docker-compose.yml logs -f dtapac

You should see something along the lines of:

with-bundleserver-dtapac-1  | 8:54PM INF bundle update detected bundle=dtapac revision=1f96e28d4d3f81e3e89889cafff81a06a074c644 svc=bundleWatcher
with-bundleserver-dtapac-1  | 8:54PM INF starting portfolio analysis svc=portfolioAnalyzer
with-bundleserver-dtapac-1  | 8:54PM DBG fetching projects svc=portfolioAnalyzer
...

Set up a webhook

Create a new alert with scope Portfolio and publisher Outbound Webhook:

Point the destination to dtapac's /api/v1/dtrack/notification endpoint and enable the NEW_VULNERABILITY and POLICY_VIOLATION groups:

Goes without saying that you should use a domain or hostname that is reach- and resolvable by your Dependency-Track instance.

Testing

The example policy for findings contains a rule that will suppress all h2 vulnerabilities for projects with name Flux Capacitor or Mr. Robot. So let's test that, shall we?

Dependency-Track v4.4.2 ships with a vulnerable h2 version.

Download the BOM from here
In Dependency-Track, create a new project named Flux Capacitor, version doesn't matter
Upload the BOM you just downloaded
In a terminal, follow the logs of dtapac
Wait for a moment until Dependency-Track finishes its BOM analysis

dtapac's logs should indicate that analyses for h2 related vulnerabilities have been applied, while others are not covered by the policy:

with-bundleserver-dtapac-1  | 9:12PM DBG auditing finding finding={"component":"8dad0438-00b7-4250-8409-d8e1008e37bc","project":"21790356-27e4-4ffb-837f-a25afdfdf0ff","vulnerability":"e10e283b-8ade-4e86-8697-3687e3af8b92"} svc=auditor
with-bundleserver-dtapac-1  | 9:12PM DBG auditing finding finding={"component":"8dad0438-00b7-4250-8409-d8e1008e37bc","project":"21790356-27e4-4ffb-837f-a25afdfdf0ff","vulnerability":"9b93e587-e438-4cc1-aa16-f70618e6f839"} svc=auditor
with-bundleserver-dtapac-1  | 9:12PM DBG received finding analysis analysis={"comment":"","details":"h2 is only used in unit tests.","justification":"CODE_NOT_REACHABLE","response":"","state":"NOT_AFFECTED","suppress":true} svc=auditor
with-bundleserver-dtapac-1  | 9:12PM DBG received finding analysis analysis={"comment":"","details":"h2 is only used in unit tests.","justification":"CODE_NOT_REACHABLE","response":"","state":"NOT_AFFECTED","suppress":true} svc=auditor
with-bundleserver-dtapac-1  | 9:12PM INF applying analysis component=8dad0438-00b7-4250-8409-d8e1008e37bc project=21790356-27e4-4ffb-837f-a25afdfdf0ff svc=applier vulnerability=e10e283b-8ade-4e86-8697-3687e3af8b92
with-bundleserver-dtapac-1  | 9:12PM DBG auditing finding finding={"component":"64623e22-0bad-4dff-8105-dca956745b38","project":"21790356-27e4-4ffb-837f-a25afdfdf0ff","vulnerability":"c61e52b1-30ca-4f5c-9ec1-b7fd116d4b2c"} svc=auditor
with-bundleserver-dtapac-1  | 9:12PM DBG finding is not covered by policy finding={"component":"64623e22-0bad-4dff-8105-dca956745b38","project":"21790356-27e4-4ffb-837f-a25afdfdf0ff","vulnerability":"c61e52b1-30ca-4f5c-9ec1-b7fd116d4b2c"} svc=auditor
with-bundleserver-dtapac-1  | 9:12PM INF applying analysis component=8dad0438-00b7-4250-8409-d8e1008e37bc project=21790356-27e4-4ffb-837f-a25afdfdf0ff svc=applier vulnerability=9b93e587-e438-4cc1-aa16-f70618e6f839

Verify by inspecting the project's findings in the Dependency-Track UI (✅ the Show suppressed findings box):

Name		Name	Last commit message	Last commit date
Latest commit History 586 Commits
.github		.github
examples		examples
internal		internal
tools/schema-generator		tools/schema-generator
.dockerignore		.dockerignore
.gitignore		.gitignore
.golangci.yml		.golangci.yml
.goreleaser.yml		.goreleaser.yml
Dockerfile		Dockerfile
Dockerfile.goreleaser		Dockerfile.goreleaser
LICENSE		LICENSE
Makefile		Makefile
README.md		README.md
go.mod		go.mod
go.sum		go.sum
main.go		main.go
renovate.json		renovate.json

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dtapac

Introduction

How it works

Ad-hoc auditing through notifications

Portfolio auditing on policy change

Shortcomings

Usage

Writing Policies

Structure

Guidelines

Inputs

Finding

Example

Violation

Example

Results

Finding

Example

Violation

Example

Policy Management

Deployment

Preparation

Get an API key

Setup dtapac

Setup OPA

Set up a webhook

Testing

About

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dtapac

Introduction

How it works

Ad-hoc auditing through notifications

Portfolio auditing on policy change

Shortcomings

Usage

Writing Policies

Structure

Guidelines

Inputs

Finding

Example

Violation

Example

Results

Finding

Example

Violation

Example

Policy Management

Deployment

Preparation

Get an API key

Setup dtapac

Setup OPA

Set up a webhook

Testing

About

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