Security researchers recently identified more than 10,000 Docker Hub images containing exposed credentials, including API keys, cloud access tokens, and private encryption keys. These exposures are not isolated developer errors. They are symptoms of a deeper structural weakness in today’s software supply chains where artifacts are built and published without consistent secret hygiene or verifiable provenance.

In this post we break down why these leaks keep happening, the risks they create, and how CleanStart prevents this entire class of incident by enforcing hermetic, credential free, and fully traceable build workflows.

What was found inside the Docker Hub images?

Researchers discovered thousands of public images containing:

• AWS access keys

• Google Cloud and Azure service account tokens

• Database usernames and passwords

• SSH private keys

• API tokens for internal systems

• Git and repository access keys

Many of these secrets were still valid. Several provided direct access to cloud environments without MFA or IP restrictions. In other words, attackers could have used them immediately and silently.

This is not just a configuration oversight. It is a supply chain failure.

Why do secrets end up inside container images?

Secret leakage is a multi root cause problem. Here are the most common failure points.

1. Local builds often embed secrets by accident

Developers add secrets into Dockerfiles or test scripts to quickly verify functionality. These values are written into lower layers of the image where they remain unless explicitly removed.

2. CI pipelines inject secrets without strict boundaries

Many CI systems expose secrets as environment variables. If build steps log, echo, or copy those values into intermediate files, they end up packaged inside the image layers.

3. Public registries do not enforce secret hygiene

Docker Hub does not block or warn about images containing sensitive data. Without enforced guardrails, insecure artifacts can be published at scale.

4. Lack of end to end provenance makes exposure invisible

Most organizations cannot trace what code, dependencies, and environment variables contributed to an image. Without verifiable lineage, early stage exposure is rarely detected.

These structural issues allow small slips in developer workflows to become significant security incidents.

Why this matters: the impact is broader than a leaked token

Credentials exposed inside container layers create multiple high risk pathways.

Unauthorized cloud access

Compromised AWS, GCP, or Azure keys can be used immediately to authenticate into production systems.

Long lived persistence

If secrets are not rotated promptly, attackers can maintain access for weeks or months without detection.

Lateral movement

Once inside, attackers pivot across cloud services, microservices, developer pipelines, and internal APIs.

Supply chain poisoning

Attackers can modify and republish images so downstream consumers unknowingly ingest compromised artifacts.

The scale and consequences make secret leakage not just a developer hygiene issue but a fundamental supply chain risk.

How CleanStart prevents this class of incident by design

CleanStart addresses the problem at the source. Rather than relying on post publication scanning, the platform enforces strict controls during the build process itself.

Below are the core architectural safeguards.

Hermetic, credential free build environments

CleanStart builds are intentionally isolated with no external network access. This reduces the attack surface and prevents unauthorized credential injection. When the build system cannot reach outward, sensitive values cannot leak inward.

Build time secret detection that blocks insecure artifacts

CleanStart scans every file and layer produced during the build for:

• High entropy strings

• Known credential formats

• Password like values

• Cloud provider key patterns

Example detection heuristic:

AWS long term keys often begin with AKIA, and temporary session keys often begin with ASIA. CleanStart flags and blocks any artifact containing these patterns or similar high entropy values.

If a potential secret is detected, the build fails immediately with a clear diagnostic. Insecure images never reach a registry.

Full artifact provenance and verifiable lineage

Every artifact built through CleanStart includes a complete provenance record, including:

• Source commit and repository metadata

• Dependency versions

• Build environment configuration

• Policy outcomes

• Indicators of any secret access attempt

If anything in the provenance chain is incomplete or unverifiable, the artifact cannot be published. This replaces assumption based trust with verifiable records.

Secure by default foundation

CleanStart is designed to support commonly adopted hardening frameworks including:

• CIS Benchmarks

• STIG aligned configurations

• FIPS 140 3 validated cryptographic modules

• SLSA Level 4 style hermetic and reproducible build principles

These safeguards ensure that even if developers move quickly or pipelines evolve, the output remains trustworthy.

Immediate steps organizations should take now

Regardless of whether your organization publishes public images, we recommend the following actions:

1. Revoke and rotate any keys exposed in images.

2. Scan internal registries with tools such as Trivy, GitLeaks, or git secrets.

3. Audit IAM activity for unusual access using compromised credentials.

4. Enforce secret free build policies across developer and CI workflows.

5. Require provenance verified and signed images before deployment.

6. Introduce build time secret blocking to prevent recurrence.

A combination of immediate remediation and long-term architectural reform is essential.

Final thoughts: secret leakage is preventable with the right controls

The discovery of over 10,000 compromised Docker Hub images underscores a fundamental supply chain challenge. Without hermetic builds, enforced provenance, and strict boundary controls, secrets can slip into artifacts at any point in the development lifecycle.

CleanStart eliminates these weaknesses at the source by enforcing credential free builds, verifying artifact lineage, and preventing insecure outputs from ever being published.

If your team is evaluating how to strengthen supply chain trust and prevent secret leakage, we are here to help.