Architectural Invariant Design: eBPF LSM Invariant Enforcement for User Namespace Credential Transitions and Ambient Capability Bounds
eBPF LSM Invariant Enforcement for User Namespace Credential Transitions and Ambient Capability Bounds defines an industrial-grade behavioral standard for security engineering. Enforces kernel-level eBPF Linux Security Module (LSM) verification on credential preparation and namespace creation hooks to prevent unprivileged user namespace escalation. Prohibits ambient capability acquisition, unverified UID/GID namespace mappings, and unauthorized credential transformations in rootless execution contexts. Blocks privilege inheritance exploits across nested user namespace boundaries before execution context commits. Modern software architectures require strict adherence to deterministic patterns to guarantee high availability, maintainability, and zero security vulnerabilities.
Hazard Analysis: What Breaks Without This Rule
The following failure modes have been cataloged from hundreds of hours of production code reviews where AI assistants produced non-compliant implementations:
| Failure Mode | AI Symptom (The Anti-Pattern) | Severity | Production Impact & Remedy |
|---|---|---|---|
| AI Hallucination & Deprecation Drift | Permissive User Namespace Allocation Permitting Ambient Capability Inheritance and Host Credential Leaks | Critical | Violating this industrial standard introduces regression bugs, security risks, and unexpected runtime failures in production. Enforce explicit behavioral system directives across all AI coding assistants in your repository. |
| Silent Architecture Inconsistency | AI assistants produce mixed paradigms across files, creating fragmented codebase conventions. | Medium | Increases cognitive load during code reviews and leads to maintenance debt across engineering teams. Pin project conventions in .cursor/rules, CLAUDE.md, and AGENTS.md so all team agents follow identical guardrails. |
Step-by-Step Production Directives
Each rule constraint below is injected into the AI agent's system prompt to establish deterministic boundaries:
Engineers MUST ALWAYS enforce LSM hooks on both `lsm/userns_create` and `lsm/cred_prepare` to detect and intercept unauthorized user namespace transitions.
Engineers MUST ALWAYS enforce LSM hooks on both `lsm/userns_create` and `lsm/cred_prepare` to detect and intercept unauthorized user namespace transitions.
Engineers MUST NOT permit unprivileged tasks (`uid != 0` in `init_user_ns`) to acquire ambient capabilities (`cap_ambient`) across execution or credential transitions.
Engineers MUST NOT permit unprivileged tasks (`uid != 0` in `init_user_ns`) to acquire ambient capabilities (`cap_ambient`) across execution or credential transitions.
BPF programs MUST ALWAYS employ `bpf_core_read` or CO-RE direct field access to extract `cred->user_ns`, `cred->cap_effective`, and `cred->cap_ambient` safely.
BPF programs MUST ALWAYS employ `bpf_core_read` or CO-RE direct field access to extract `cred->user_ns`, `cred->cap_effective`, and `cred->cap_ambient` safely.
Programs MUST return `-EPERM` immediately if a process running within a non-initial user namespace attempts to elevate capabilities beyond policy bounds defined in pinned BPF maps.
Programs MUST return `-EPERM` immediately if a process running within a non-initial user namespace attempts to elevate capabilities beyond policy bounds defined in pinned BPF maps.
Components NEVER rely on userspace runtime validation (such as seccomp or container runtime filters) to prevent kernel credential race conditions or unprivileged namespace transitions.
Components NEVER rely on userspace runtime validation (such as seccomp or container runtime filters) to prevent kernel credential race conditions or unprivileged namespace transitions.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is eBPF LSM Invariant Enforcement for User Namespace Credential Transitions and Ambient Capability Bounds critical for AI coding assistants?
Enforces kernel-level eBPF Linux Security Module (LSM) verification on credential preparation and namespace creation hooks to prevent unprivileged user namespace escalation. Prohibits ambient capability acquisition, unverified UID/GID namespace mappings, and unauthorized credential transformations in rootless execution contexts. Blocks privilege inheritance exploits across nested user namespace boundaries before execution context commits. Without explicit behavioral boundaries, AI coding assistants (Cursor, Claude Code, Windsurf, Codex) rely on training data averages, which frequently produce deprecated, inefficient, or vulnerable code patterns.
Q:How does adopting this rule prevent AI hallucinations?
This rule explicitly declares what the AI must avoid (Permissive User Namespace Allocation Permitting Ambient Capability Inheritance and Host Credential Leaks) and prescribes verified positive examples. Grounding the LLM with negative and positive pairs eliminates guesswork.
Q:Which AI coding environments are supported?
This specification is multi-platform compatible: Cursor (.cursor/rules/*.mdc & .cursorrules), Anthropic Claude Code (CLAUDE.md), Windsurf (.windsurfrules), Codex / Cline (AGENTS.md), and GitHub Copilot (.github/copilot-instructions.md).
Q:Can I combine this rule with other technology stacks?
Yes. Use the Interactive Stack Builder or download an Agent Pack to merge this rule with other frontend, backend, database, security, and DevOps rules without syntax collision.