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Manual offensive security perspective from Redbot Security.
Kubernetes Penetration Testing Checklist 2025
Kubernetes adoption has exploded across every vertical, yet the attack surface keeps expanding faster than the default safeguards. Redbot Security’s manual deep dive assessments routinely uncover privilege escalations, data exposing misconfigurations, and container escapes even in clusters that have passed basic compliance scans. A rigorous penetration test therefore needs to probe every layer of the stack, from the control plane to the supply chain, and validate the effectiveness of runtime defenses.
Recent breach activity is a warning
Ingress-NGINX flaws, Windows-node RCE, supply-chain abuse, and cryptojacking waves show how quickly Kubernetes risk becomes operational.
Compliance scans are not enough
Clusters that pass baseline checks can still be compromised through RBAC abuse, weak admission policy, poor segmentation, and secrets exposure.
Testing must be full-stack
Effective Kubernetes assessments need to cover control plane, identities, workload isolation, runtime escape, logging, and CI/CD supply chain.
What this means for real-world security
An effective Kubernetes penetration test must be holistic, probing everything from etcd to the CI/CD pipeline. Strong security comes from validating how the platform behaves under real attacker pressure, not just from reviewing configuration linting output.
Why a Kubernetes specific test is now non-negotiable
Kubernetes adoption keeps soaring, but 2024 to 2025 has been a wake-up call: high-severity flaws in Ingress-NGINX, supply-chain compromises in GitHub Actions, and a Windows-node RCE all landed within a 15-month window. Even clusters that “pass” basic compliance scanners can still be popped in minutes, a reality that leading penetration testing companies like Redbot Security uncover every week.
These incidents prove that a practitioner checklist has to move beyond surface scanning. It needs to test the real paths attackers use: secrets exposure, token abuse, admission control bypass, container runtime breakout, weak tenant isolation, and gaps in detection.
Real world Kubernetes breach highlights
Recent incidents underline how broad the Kubernetes attack surface has become. Public API servers plus vulnerable images fueled mass cryptojacking activity. TLS bootstrap abuse in Azure AKS showed how one pod shell could become cluster-wide secret exposure. Ingress-NGINX flaws demonstrated how a file-upload issue could lead to access to every namespace secret. Windows-node RCE exposed the risk of crafted requests achieving SYSTEM-level execution. Supply-chain compromises in CI pipelines further proved that Kubernetes security is inseparable from build and deployment security.
Control plane and runtime risks are active
From API servers and admission plugins to nodes and workloads, recent incidents show attackers can chain small weaknesses into broad compromise.
Supply chain is part of cluster security
Compromised GitHub Actions and unsigned image paths highlight that Kubernetes testing has to extend beyond the cluster boundary.
Practitioner checklist: 10 critical focus areas
Below is a practitioner level checklist structured in ten focus areas. Treat each item as a test case that yields measurable evidence of risk reduction when remediated.
/etc/kubernetes/manifests.What is etcd?
In Kubernetes, etcd is a distributed, consistent, and reliable key-value store that serves as the primary data store for the entire cluster. It stores and manages all the state data, configuration data, and metadata about Kubernetes objects like pods, services, and deployments. Essentially, it is the brain of the Kubernetes control plane, holding the truth about the cluster’s state.
How leading penetration testing companies integrate manual & automated coverage
Strong Kubernetes testing programs combine continuous visibility with deep human-led assessment. Redbot Sentry monitors control-plane drift, CVEs, and unsigned images continuously across checklist areas like API, identity, secrets, and supply-chain controls. Manual deep-dive testing led by senior engineers then exercises creative attack paths across all ten categories, delivering replayable proof-of-concept scripts and a remediation workshop.
This combination shortens mean-time-to-detect for low-hanging issues while surfacing business-critical chains that automation overlooks.
Continuous drift and CVE monitoring
Automated coverage catches unsigned images, control-plane changes, and emerging weaknesses before they become stale assumptions.
Manual chain testing
Senior engineers validate how small weaknesses combine into high-impact attack paths across RBAC, runtime, nodes, and CI/CD.
Remediation with evidence
Replayable PoC scripts and remediation workshops make it easier to convert findings into measurable risk reduction.
The Redbot takeaway
Kubernetes security demands more than configuration linting. A meaningful penetration test has to move through control plane, workloads, identity boundaries, runtime escape, and the software supply chain with the same discipline attackers use.
Book a discovery call with Redbot Security to scope a Kubernetes penetration test that turns abstract misconfigurations into measurable risk reduction and provable ROI for your executive team.
Need a Kubernetes penetration test that goes beyond surface scanning?
Redbot Security helps platform and security teams validate control plane exposure, workload isolation, identity risk, runtime breakout paths, and CI/CD supply-chain weaknesses with senior-level manual testing.
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