Build

detecting-container-escape-attempts

by Cybersecurity Skills

Detects container escape at runtime across tooling - namespace manipulation, capability abuse, kernel exploits, sensitive host mounts, and anomalous syscalls - and explains which signals matter regardless of whether Falco, Sysdig, auditd, or an EDR is doing the collection. Use when deciding what breakout behaviour to monitor, investigating a suspected Docker or Kubernetes breakout, or comparing escape coverage across runtime sensors. Keywords: container escape, breakout, namespaces, CAP_SYS_ADMIN, privileged, hostPath, kernel exploit, syscall. Do not use for Falco rule syntax itself - use detecting-container-escape-with-falco-rules; for a static configuration sweep use performing-container-escape-detection.

v1.0.1New

Unsigned, install at your own risk

Unverified

This skill has no cryptographic signature attached. We can't verify the contents match what the publisher intended.

Install this skill

Run this command in your terminal. No account required — it auto-detects your AI tool and installs the skill file.

npx @skills-hub-ai/cli install cybersecurity-skills-detecting-container-escape-attempts
Or download directly:
Browse all CLI commands →

Setup by platform

Claude Code

~/.claude/skills/<skill>/SKILL.md

Setup guide →

Install

One-click setup for your editor

Run in your project root

npx @skills-hub-ai/cli install cybersecurity-skills-detecting-container-escape-attempts --target claude-code
0

Instructions

This skill doesn’t include stateful context yet, instructions only. Learn about stateful skills.

Security

Loading security scan...

Reviews (0)

View full changelog & diffs →

Related skills

Browse all →
exploiting-insecure-deserializationIdentifying and exploiting insecure deserialization vulnerabilities in Java, PHP, Python, and .NET applications to achieve remote code execution during authorized penetration tests.4 installsperforming-osint-with-spiderfootAutomate OSINT collection with the SpiderFoot REST API and CLI (sf.py/spiderfoot-cli) across 200+ modules, selecting scan modes (footprint, investigate, passive) and parsing results for domains, IPs, emails, leaked credentials, and DNS records into a target intelligence profile. Use when mapping an organization's attack surface or profiling a target for threat intelligence.3 installsexploiting-vulnerabilities-with-metasploit-frameworkUses the Metasploit Framework (msfconsole and its exploit, auxiliary, and post-exploitation modules) to validate that identified CVEs and vulnerabilities are actually exploitable, gather post-exploitation evidence, and confirm patch remediation. Use when performing vulnerability management validation, penetration testing, or post-patch verification and you need to prove real-world exploitability rather than rely on a scanner score alone.2 installsperforming-ai-driven-osint-correlationUse AI/LLM-based reasoning with Sherlock, theHarvester, and SpiderFoot to correlate OSINT findings—usernames, emails, social profiles, domain records, breach databases, and dark-web mentions—into unified, confidence-scored intelligence profiles with link analysis. Use when raw OSINT data from multiple sources needs merging into one target profile or resolving identity linkage across platforms.2 installsdetecting-rootkit-activityDetects rootkit presence on compromised systems by identifying hidden processes, hooked system calls, modified kernel structures, and covert network connections using Volatility memory forensics, cross-view detection, and tools like GMER, rkhunter, chkrootkit, and RootkitRevealer. Use when standard tools (Task Manager, netstat, AV/EDR) show nothing abnormal but compromise is suspected.2 installsanalyzing-ios-app-security-with-objectionRuntime iOS app security testing with Objection (Frida): inspect keychain and filesystem data, explore app internals at runtime, and validate/bypass client-side protections during authorized mobile assessments.2 installs

More from Cybersecurity Skills

View source →
reverse-engineering-malware-with-ghidraReverse engineers malware binaries using NSA's Ghidra disassembler and decompiler to study internal logic, cryptographic routines, C2 protocols, and evasion techniques at the assembly and pseudo-C level. Use when static or dynamic analysis flags suspicious functionality needing deeper code review, such as reversing C2 protocols, encryption algorithms, custom obfuscation, or a sample's exploit mechanism.12 installsreverse-engineering-ios-app-with-fridaReverse engineers iOS applications using Frida dynamic instrumentation to understand internal logic, extract encryption keys, bypass security controls, and discover hidden functionality without source code access. Use when performing authorized iOS penetration testing, analyzing proprietary protocols, understanding obfuscated logic, or extracting runtime secrets from iOS binaries. Activates for requests involving iOS reverse engineering, Frida iOS hooking, Objective-C/Swift method tracing, or iOS binary analysis.7 installsanalyzing-network-traffic-for-incidentsAnalyzes network traffic captures and flow data to identify adversary activity during security incidents, including command-and-control communications, lateral movement, data exfiltration, and exploitation attempts. Uses Wireshark, Zeek, and NetFlow analysis techniques. Activates for requests involving network traffic analysis, packet capture investigation, PCAP analysis, network forensics, C2 traffic detection, or exfiltration detection.7 installsimplementing-secrets-scanning-in-ci-cdIntegrate gitleaks and trufflehog into CI/CD pipelines to detect leaked secrets before deployment6 installsperforming-firmware-malware-analysisAnalyzes firmware images for embedded malware, backdoors, and unauthorized modifications in routers, IoT devices, UEFI/BIOS, and embedded systems, covering firmware extraction, filesystem analysis, binary reverse engineering, and bootkit detection. Use for firmware security analysis, IoT malware investigation, UEFI rootkit detection, or embedded device compromise assessment.6 installsperforming-firmware-extraction-with-binwalkPerforms firmware image extraction and analysis using binwalk to identify embedded filesystems, compressed archives, bootloaders, kernel images, and cryptographic material. Covers entropy analysis for detecting encrypted or compressed regions, recursive extraction of nested archives, SquashFS/CramFS/JFFS2 filesystem mounting, and string analysis for credential and configuration discovery. Activates for requests involving firmware reverse engineering, IoT device analysis, embedded system security assessment, or router/camera firmware extraction.6 installs

More Build skills

Browse category →
ui-design-systemUI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use when creating design systems, generating design tokens, maintaining visual consistency, or facilitating design-dev collaboration and developer handoff.285 installssenior-frontendFrontend development skill for React, Next.js, TypeScript, and Tailwind CSS applications. Use when building React components, optimizing Next.js performance, analyzing bundle sizes, scaffolding frontend projects, implementing accessibility, or reviewing frontend code quality.216 installsfrontend-designGuidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.158 installsself-improving-agentCurate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/, extract recurring solutions into reusable skills. Use when: (1) reviewing what Claude has learned about your project, (2) graduating a pattern from notes to enforced rules, (3) turning a debugging solution into a skill, (4) checking memory health and capacity.100 installssenior-backendDesigns and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening. Use when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs". Covers Node.js/Express/Fastify development, PostgreSQL optimization, API security, and backend architecture patterns.92 installsusing-superpowersUse when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions77 installs

Frequently asked questions about detecting-container-escape-attempts

What does the detecting-container-escape-attempts skill do?

Detects container escape at runtime across tooling - namespace manipulation, capability abuse, kernel exploits, sensitive host mounts, and anomalous syscalls - and explains which signals matter regardless of whether Falco, Sysdig, auditd, or an EDR is doing the collection. Use when deciding what breakout behaviour to monitor, investigating a suspected Docker or Kubernetes breakout, or comparing escape coverage across runtime sensors. Keywords: container escape, breakout, namespaces, CAP_SYS_ADMIN, privileged, hostPath, kernel exploit, syscall. Do not use for Falco rule syntax itself - use detecting-container-escape-with-falco-rules; for a static configuration sweep use performing-container-escape-detection. It's a reusable SKILL.md instruction set that loads into your AI coding assistant on demand, no prompt engineering, no copy-pasting every session.

How do I install the detecting-container-escape-attempts skill?

Run `npx @skills-hub-ai/cli install cybersecurity-skills-detecting-container-escape-attempts` from your terminal. The CLI writes the SKILL.md to the correct location for your AI tool (e.g. ~/.claude/skills/cybersecurity-skills-detecting-container-escape-attempts/ for Claude Code or ~/.cursor/skills/ for Cursor with --target cursor) and adds it to your project's .skills.json lockfile.

Which AI tools does detecting-container-escape-attempts work with?

detecting-container-escape-attempts runs in Claude Code. It follows the open Agent Skills standard (SKILL.md), so the same skill works in every supported tool without modification.

Is the detecting-container-escape-attempts skill free?

Yes. Every skill on skills-hub.ai is free and open-source. There are no premium tiers, paywalls, or usage limits. You only pay for whatever AI assistant you're already using.

How do I use detecting-container-escape-attempts after installing it?

In Claude Code, type `/cybersecurity-skills-detecting-container-escape-attempts` (or whatever slash command the skill registers) and the AI follows the skill's instructions immediately. You can also reference it by name in natural language, your AI loads the skill into context when relevant.

Can I share the detecting-container-escape-attempts skill with my team?

Yes. Commit your project's .skills.json lockfile and teammates run `npx @skills-hub-ai/cli install` (no args) to install every skill at the exact version you pinned. Organization-scoped installs work via skills-hub.ai organizations.