detecting-container-escape-attempts▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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Container escape is a critical attack technique where an adversary breaks out of container isolation to access the host system or other containers. Detection involves monitoring for escape indicators
| name | detecting-container-escape-attempts |
| description | Container escape is a critical attack technique where an adversary breaks out of container isolation to access the host system or other containers. Detection involves monitoring for escape indicators |
| domain | cybersecurity |
| subdomain | container-security |
| tags | - containers - kubernetes - docker - security - runtime-security - escape-detection |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| d3fend_techniques | - Platform Monitoring - Process Code Segment Verification - Stack Frame Canary Validation - Segment Address Offset Randomization - Process Analysis |
| nist_csf | - PR.PS-01 - PR.IR-01 - ID.AM-08 - DE.CM-01 |
Detecting Container Escape Attempts
Overview
Container escape is a critical attack technique where an adversary breaks out of container isolation to access the host system or other containers. Detection involves monitoring for escape indicators such as namespace manipulation, capability abuse, kernel exploits, mounted sensitive paths, and anomalous syscall patterns using runtime security tools like Falco, Sysdig, and custom seccomp/audit rules.
When to Use
- When investigating security incidents that require detecting container escape attempts
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques
Prerequisites
- Linux host with kernel 5.10+ (eBPF support)
- Falco 0.37+ installed (kernel module or eBPF probe)
- Docker Engine or containerd runtime
- auditd configured
- Root access for eBPF/kernel module loading
Core Concepts
Common Container Escape Vectors
| Vector | Technique | MITRE ID |
|---|---|---|
| Privileged containers | Mount host filesystem, load kernel modules | T1611 |
| Docker socket mount | Create privileged container from within | T1610 |
| Kernel exploits | CVE-2022-0185 (fsconfig), Dirty Pipe, runc CVEs | T1068 |
| Capability abuse | CAP_SYS_ADMIN, CAP_SYS_PTRACE, CAP_NET_ADMIN | T1548 |
| Sensitive mounts | /proc/sysrq-trigger, /proc/kcore, cgroup release_agent | T1611 |
| Namespace escape | nsenter, unshare to host namespaces | T1611 |
| Symlink/bind mount | Escape through /proc/self/root | T1611 |
Detection Layers
- Syscall monitoring - eBPF/kernel module captures syscalls in real-time
- File integrity - Detect modification of escape-enabling paths
- Process monitoring - Track process creation, namespace changes
- Network monitoring - Detect container-to-host connections
- Audit logging - Linux auditd for capability and mount operations
Workflow
Step 1: Deploy Falco for Runtime Detection
# falco-values.yaml for Helm deployment
falco:
driver:
kind: ebpf # or modern_ebpf for kernel 5.8+
rules_files:
- /etc/falco/falco_rules.yaml
- /etc/falco/falco_rules.local.yaml
- /etc/falco/rules.d
json_output: true
json_include_output_property: true
http_output:
enabled: true
url: "http://falcosidekick:2801"
grpc:
enabled: true
priority: warning
# Install Falco via Helm
helm repo add falcosecurity https://falcosecurity.github.io/charts
helm install falco falcosecurity/falco \
--namespace falco-system --create-namespace \
-f falco-values.yaml
Step 2: Custom Falco Rules for Escape Detection
# /etc/falco/rules.d/container_escape.yaml
# Detect container escape via privileged container
- rule: Container Escape via Privileged Mode
desc: Detect attempts to escape container using privileged capabilities
condition: >
spawned_process and container and
(proc.name in (nsenter, unshare, mount, umount, modprobe, insmod) or
(proc.name = chroot and proc.args contains "/host"))
output: >
Container escape attempt via privileged operation
(user=%user.name container=%container.name image=%container.image.repository
command=%proc.cmdline pid=%proc.pid %container.info)
priority: CRITICAL
tags: [container, escape, T1611]
# Detect Docker socket access from container
- rule: Container Access to Docker Socket
desc: Detect container reading/writing to Docker socket
condition: >
(open_read or open_write) and container and
fd.name = /var/run/docker.sock
output: >
Docker socket accessed from container
(user=%user.name container=%container.name image=%container.image.repository
fd=%fd.name command=%proc.cmdline %container.info)
priority: CRITICAL
tags: [container, escape, docker_socket]
# Detect sensitive proc filesystem access
- rule: Container Access to Sensitive Proc Paths
desc: Detect container accessing host-sensitive proc paths
condition: >
open_read and container and
(fd.name startswith /proc/sysrq-trigger or
fd.name startswith /proc/kcore or
fd.name startswith /proc/kmsg or
fd.name startswith /proc/kallsyms or
fd.name startswith /sys/kernel)
output: >
Sensitive proc/sys access from container
(user=%user.name container=%container.name path=%fd.name
command=%proc.cmdline %container.info)
priority: CRITICAL
tags: [container, escape, proc_access]
# Detect cgroup escape technique
- rule: Container Cgroup Escape Attempt
desc: Detect writing to cgroup release_agent (escape technique)
condition: >
open_write and container and
(fd.name contains release_agent or
fd.name contains notify_on_release)
output: >
Cgroup escape attempt detected
(user=%user.name container=%container.name path=%fd.name
command=%proc.cmdline %container.info)
priority: CRITICAL
tags: [container, escape, cgroup]
# Detect kernel module loading from container
- rule: Container Loading Kernel Module
desc: Detect container attempting to load kernel modules
condition: >
spawned_process and container and
(proc.name in (modprobe, insmod, rmmod) or
(evt.type = init_module or evt.type = finit_module))
output: >
Kernel module load attempt from container
(user=%user.name container=%container.name command=%proc.cmdline
%container.info)
priority: CRITICAL
tags: [container, escape, kernel_module]
# Detect namespace manipulation
- rule: Container Namespace Manipulation
desc: Detect setns/unshare syscalls from container
condition: >
container and (evt.type = setns or evt.type = unshare) and
not proc.name in (containerd-shim, runc)
output: >
Namespace manipulation from container
(user=%user.name container=%container.name syscall=%evt.type
command=%proc.cmdline %container.info)
priority: CRITICAL
tags: [container, escape, namespace]
# Detect mount operations from container
- rule: Container Mount Sensitive Filesystem
desc: Detect container mounting host filesystems
condition: >
spawned_process and container and proc.name = mount and
(proc.args contains "/dev/" or proc.args contains "proc" or
proc.args contains "sysfs")
output: >
Sensitive mount operation from container
(user=%user.name container=%container.name command=%proc.cmdline
%container.info)
priority: HIGH
tags: [container, escape, mount]
Step 3: Configure Seccomp Profile for Escape Prevention
{
"defaultAction": "SCMP_ACT_ERRNO",
"archMap": [
{ "architecture": "SCMP_ARCH_X86_64", "subArchitectures": ["SCMP_ARCH_X86", "SCMP_ARCH_X32"] }
],
"syscalls": [
{
"names": [
"read", "write", "open", "close", "stat", "fstat", "lstat",
"poll", "lseek", "mmap", "mprotect", "munmap", "brk",
"rt_sigaction", "rt_sigprocmask", "ioctl", "access",
"pipe", "select", "sched_yield", "dup", "dup2",
"nanosleep", "getpid", "socket", "connect", "accept",
"sendto", "recvfrom", "bind", "listen", "getsockname",
"getpeername", "socketpair", "setsockopt", "getsockopt",
"clone", "fork", "vfork", "execve", "exit", "wait4",
"kill", "getuid", "getgid", "geteuid", "getegid",
"epoll_create", "epoll_wait", "epoll_ctl", "epoll_create1",
"futex", "set_tid_address", "set_robust_list",
"openat", "newfstatat", "readlinkat", "fchownat",
"clock_gettime", "clock_getres", "clock_nanosleep",
"getrandom", "memfd_create", "statx", "rseq"
],
"action": "SCMP_ACT_ALLOW"
},
{
"names": ["unshare", "setns", "mount", "umount2", "pivot_root",
"init_module", "finit_module", "delete_module",
"kexec_load", "kexec_file_load", "ptrace",
"reboot", "swapon", "swapoff", "sethostname",
"setdomainname", "keyctl", "bpf"],
"action": "SCMP_ACT_LOG",
"comment": "Log escape-relevant syscalls for detection"
}
]
}
Step 4: Audit Rules for Container Escape
# /etc/audit/rules.d/container-escape.rules
# Monitor namespace operations
-a always,exit -F arch=b64 -S setns -S unshare -k container_escape
-a always,exit -F arch=b64 -S mount -S umount2 -k container_mount
-a always,exit -F arch=b64 -S init_module -S finit_module -S delete_module -k kernel_module
-a always,exit -F arch=b64 -S ptrace -k process_trace
# Monitor sensitive paths
-w /var/run/docker.sock -p rwxa -k docker_socket
-w /proc/sysrq-trigger -p w -k sysrq
-w /proc/kcore -p r -k kcore_read
# Monitor container runtime
-w /usr/bin/runc -p x -k container_runtime
-w /usr/bin/containerd -p x -k container_runtime
-w /usr/bin/docker -p x -k container_runtime
Step 5: Real-Time Alert Pipeline
# Falcosidekick configuration for alert routing
config:
slack:
webhookurl: "https://hooks.slack.com/services/xxx"
minimumpriority: "critical"
messageformat: |
*Container Escape Alert*
Rule: {{ .Rule }}
Priority: {{ .Priority }}
Output: {{ .Output }}
elasticsearch:
hostport: "https://elasticsearch:9200"
index: "falco-alerts"
minimumpriority: "warning"
pagerduty:
routingkey: "xxxx"
minimumpriority: "critical"
Validation Commands
# Test Falco rules with event generator
kubectl run falco-event-generator \
--image=falcosecurity/event-generator \
--restart=Never \
-- run syscall --action PtraceAttachContainer
# Check Falco alerts
kubectl logs -n falco-system -l app.kubernetes.io/name=falco --tail=50
# Verify seccomp profile is loaded
docker inspect --format '{{.HostConfig.SecurityOpt}}' <container-id>
# Check audit logs for escape-related events
ausearch -k container_escape --interpret
References
How to use detecting-container-escape-attempts on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add detecting-container-escape-attempts
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches detecting-container-escape-attempts from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate detecting-container-escape-attempts. Access the skill through slash commands (e.g., /detecting-container-escape-attempts) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
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Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★74 reviews- ★★★★★Naina Desai· Dec 28, 2024
detecting-container-escape-attempts is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Carlos Garcia· Dec 20, 2024
We added detecting-container-escape-attempts from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Pratham Ware· Dec 8, 2024
I recommend detecting-container-escape-attempts for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Ava Choi· Dec 8, 2024
Keeps context tight: detecting-container-escape-attempts is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Carlos Harris· Dec 8, 2024
I recommend detecting-container-escape-attempts for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Noor Sanchez· Dec 4, 2024
detecting-container-escape-attempts reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Dev Ghosh· Dec 4, 2024
Solid pick for teams standardizing on skills: detecting-container-escape-attempts is focused, and the summary matches what you get after install.
- ★★★★★Ava Abbas· Nov 27, 2024
detecting-container-escape-attempts is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Arya Khan· Nov 23, 2024
detecting-container-escape-attempts has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Soo Jain· Nov 19, 2024
I recommend detecting-container-escape-attempts for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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