Security Blog
The latest news and insights from Google on security and safety on the Internet
Improving software supply chain security with tamper-proof builds
2022年4月7日
Posted by Asra Ali and Laurent Simon, Google Open Source Security Team (GOSST)
Many of the recent high-profile software attacks that have alarmed open-source users globally were consequences of supply chain integrity vulnerabilities: attackers gained control of a build server to
use malicious source files
,
inject malicious artifacts
into a compromised build platform, and bypass trusted builders to
upload malicious artifacts
.
Each of these attacks could have been prevented if there were a way to detect that the delivered artifacts diverged from the expected origin of the software. But until now, generating verifiable information that described where, when, and how software artifacts were produced (information known as provenance) was difficult. This information allows users to trace artifacts verifiably back to the source and develop risk-based policies around what they consume. Currently, provenance generation is not widely supported, and solutions that do exist may require migrating build processes to services like
Tekton Chains
.
This blog post describes a new method of generating non-forgeable provenance using
GitHub Actions workflows
for isolation and
Sigstore’s
signing tools for authenticity. Using this approach, projects building on GitHub runners can achieve
SLSA 3
(the third of four progressive SLSA “levels”), which affirms to consumers that your artifacts are authentic and trustworthy.
Provenance
SLSA
("Supply-chain Levels for Software Artifacts”) is a framework to help improve the integrity of your project throughout its development cycle, allowing consumers to trace the final piece of software you release all the way back to the source. Achieving a high SLSA level helps to improve the trust that your artifacts are what you say they are.
This blog post focuses on build provenance, which gives users important information about the build: who performed the release process? Was the build artifact protected against malicious tampering? Source provenance describes how the source code was protected, which we’ll cover in future blog posts, so stay tuned.
Go prototype to generate non-forgeable build provenance
To create tamperless evidence of the build and allow consumer verification, you need to:
Isolate the provenance generation from the build process;
Isolate against maintainers interfering in the workflow;
Provide a mechanism to identify the builder during provenance verification.
The full isolation described in the first two points allows consumers to trust that the provenance was faithfully recorded; entities that provide this guarantee are called trusted builders.
Our
Go prototype
solves all three challenges. It also includes running the build inside the trusted builder, which provides a strong guarantee that the build achieves SLSA 3’s
ephemeral
and
isolated
requirement.
How does it work?
The following steps create the trusted builder that is necessary to generate provenance in isolation from the build and maintainer’s interference.
Step One: Create a reusable workflow on GitHub runners
Leveraging GitHub’s
reusable workflows
provides the isolation mechanism from both maintainers’ caller workflows and from the build process. Within the workflow, Github Actions creates
fresh instances of virtual machines (VMs), called runners, for each job
. These separate VMs give the necessary isolation for a trusted builder, so that different VMs compile the project and generate and sign the SLSA provenance (see diagram below).
Running the workflow on
GitHub-hosted runners
gives the guarantee that the code run is in fact the intended workflow, which
self-hosted runners
do not. This prototype relies on GitHub to run the exact code defined in the workflow.
The reusable workflow also protects against possible interference from maintainers, who could otherwise try to define the workflow in a way that interferes with the builder. The only way to interact with a reusable workflow is through the input parameters it exposes to the calling workflow, which stops maintainers from altering information via
environment variables
,
steps
,
services
and
defaults
.
To protect against the possibility of one job (e.g. the build step) tampering with the other artifacts used by another job (the provenance step), this approach uses a trusted channel to protect the integrity of the data. We use
job outputs
to send hashes (due to size limitations) and then use the hashes to verify the binary received via the untrusted artifact registry.
Step 2: Use OpenID Connect (OIDC) to prove the identity of the workflow to an external service (Sigstore)
OpenID Connect (OIDC) is a standard used across the web for identity providers (e.g., Google) to attest to the identity of a user for a third party. GitHub now
supports
OIDC in their workflows. Each time a workflow is run, a runner can mint a unique
JWT token
from GitHub’s OIDC provider. The token contains verifiable information of the workflow identity, including the caller repository, commit hash, trigger, and the current (reuseable) workflow path and reference.
Using OIDC, the workflow proves its identity to
Sigstore's
Fulcio root Certificate Authority, which acts as an external verification service. Fulcio signs a short-lived certificate attesting to an ephemeral signing key generated in the runner and tying it to the workload identity. A record of signing the provenance is kept in Sigstore’s transparency log
Rekor
. Users can use the signing certificate as a trust anchor to verify that the provenance was authenticated and non-forgeable; it must have been created inside the trusted builder.
Verification
The consumer can verify the artifact and its signed provenance with these steps:
Look up the corresponding Rekor log entry and verify the signature;
Verify the trusted builder identity by extracting it from the signing certificate;
Check that the provenance information matches the expected source and build.
See an
example in action
in the official repository.
Performing these steps guarantees to the consumer that the binary was produced in the trusted builder at a given commit hash attested to in the provenance. They can trust that the information in the provenance was non-forgeable, allowing them to trust the build “recipe” and trace their artifact verifiably back to the source.
Extra Bonus: Keyless signing
One extra benefit of this method is that maintainers don’t need to manage or distribute cryptographic keys for signing, avoiding the
notoriously difficult problem
of key management. The OIDC protocol requires no hardcoded, long-term secrets be stored in GitHub's secrets, which sidesteps the potential problem of key mismanagement invalidating the SLSA provenance. Consumers simply use OIDC to verify that the binary artifact was built from a trusted builder that produced the expected provenance.
Next Steps
Utilizing the SLSA framework is a proven way for ensuring software supply-chain integrity at scale. This prototype shows that achieving high SLSA levels is easier than ever thanks to the newest features of popular CI/CD systems and open-source tooling. Increased adoption of tamper-safe (SLSA 3+) build services will contribute to a stronger open-source ecosystem and help close one easily exploited gap in the current supply chain.
We encourage testing and adoption and welcome any improvements to the project. Please share feedback, comments and suggestions at
slsa-github-generator-go
and
slsa-verifier
project repositories. We will officially release v1 in a few weeks!
In follow-up posts, we will demonstrate adding non-forgeable source provenance attesting to secure repository settings, and showcase the same techniques for other build toolchains and package managers, etc. Stay tuned!
沒有留言 :
張貼留言
標籤
#sharethemicincyber
#supplychain #security #opensource
android
android security
android tr
app security
big data
biometrics
blackhat
C++
chrome
chrome enterprise
chrome security
connected devices
CTF
diversity
encryption
federated learning
fuzzing
Gboard
google play
google play protect
hacking
interoperability
iot security
kubernetes
linux kernel
memory safety
Open Source
pha family highlights
pixel
privacy
private compute core
Rowhammer
rust
Security
security rewards program
sigstore
spyware
supply chain
targeted spyware
tensor
Titan M2
VDP
vulnerabilities
workshop
Archive
2024
11月
10月
9月
8月
7月
6月
5月
4月
3月
2月
1月
2023
12月
11月
10月
9月
8月
7月
6月
5月
4月
3月
2月
1月
2022
12月
11月
10月
9月
8月
7月
6月
5月
4月
3月
2月
1月
2021
12月
11月
10月
9月
8月
7月
6月
5月
4月
3月
2月
1月
2020
12月
11月
10月
9月
8月
7月
6月
5月
4月
3月
2月
1月
2019
12月
11月
10月
9月
8月
7月
6月
5月
4月
3月
2月
1月
2018
12月
11月
10月
9月
8月
7月
6月
5月
4月
3月
2月
1月
2017
12月
11月
10月
9月
7月
6月
5月
4月
3月
2月
1月
2016
12月
11月
10月
9月
8月
7月
6月
5月
4月
3月
2月
1月
2015
12月
11月
10月
9月
8月
7月
6月
5月
4月
3月
2月
1月
2014
12月
11月
10月
9月
8月
7月
6月
4月
3月
2月
1月
2013
12月
11月
10月
8月
6月
5月
4月
3月
2月
1月
2012
12月
9月
8月
6月
5月
4月
3月
2月
1月
2011
12月
11月
10月
9月
8月
7月
6月
5月
4月
3月
2月
2010
11月
10月
9月
8月
7月
5月
4月
3月
2009
11月
10月
8月
7月
6月
3月
2008
12月
11月
10月
8月
7月
5月
2月
2007
11月
10月
9月
7月
6月
5月
Feed
Follow @google
Follow
Give us feedback in our
Product Forums
.
沒有留言 :
張貼留言