Architectural Invariant Design: Synchronous eBPF LSM Enforcement Against Unauthorized Process Memory Scraping
Synchronous eBPF LSM Enforcement Against Unauthorized Process Memory Scraping defines an industrial-grade behavioral standard for security engineering. Enforces synchronous kernel-space interception of process memory inspection attempts (such as reads to /proc/$PID/mem and ptrace calls). Mitigates runtime credential scraping cold at the kernel boundary using eBPF Linux Security Module (LSM) hooks instead of bypass-prone asynchronous tracing probes. 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 | Relying on Asynchronous Kprobes or Passive Userspace Telemetry to Prevent Process Memory Scraping | 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 memory-introspection boundaries using synchronous eBPF LSM hooks (e.g., SEC("lsm/ptrace_access_check") or SEC("lsm/file_open")) returning -EPERM or -EACCES.
Engineers MUST ALWAYS enforce memory-introspection boundaries using synchronous eBPF LSM hooks (e.g., SEC("lsm/ptrace_access_check") or SEC("lsm/file_open")) returning -EPERM or -EACCES.
Engineers MUST NOT use SEC("kprobe") or SEC("tracepoint") to intercept /proc/$PID/mem reads, as asynchronous tracing probes cannot reliably abort execution paths and introduce Time-Of-Check to Time-Of-Use (TOCTOU) vulnerabilities.
Engineers MUST NOT use SEC("kprobe") or SEC("tracepoint") to intercept /proc/$PID/mem reads, as asynchronous tracing probes cannot reliably abort execution paths and introduce Time-Of-Check to Time-Of-Use (TOCTOU) vulnerabilities.
Code MUST employ BPF CO-RE (Compile Once – Run Everywhere) helpers such as BPF_CORE_READ() to access kernel structs, ensuring relocation integrity across varied target kernel versions.
Code MUST employ BPF CO-RE (Compile Once – Run Everywhere) helpers such as BPF_CORE_READ() to access kernel structs, ensuring relocation integrity across varied target kernel versions.
Services MUST maintain strict deterministic task evaluation, verifying caller cgroup context, namespace credentials, or cryptographic signatures before permitting memory read operations.
Services MUST maintain strict deterministic task evaluation, verifying caller cgroup context, namespace credentials, or cryptographic signatures before permitting memory read operations.
Components NEVER fail open
Components NEVER fail open; if an eBPF LSM program fails verification or encounters an unresolvable reference during hook attachment, execution must fail-closed and quarantine sensitive workloads.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Synchronous eBPF LSM Enforcement Against Unauthorized Process Memory Scraping critical for AI coding assistants?
Enforces synchronous kernel-space interception of process memory inspection attempts (such as reads to /proc/$PID/mem and ptrace calls). Mitigates runtime credential scraping cold at the kernel boundary using eBPF Linux Security Module (LSM) hooks instead of bypass-prone asynchronous tracing probes. 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 (Relying on Asynchronous Kprobes or Passive Userspace Telemetry to Prevent Process Memory Scraping) 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.