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Kernel-Layer Execution Blocking: Securing Edge Hardware Gateways with eBPF and Tetragon
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By the time a userspace security agent detects a privilege escalation on an edge node, the attacker already has control of the hardware. This piece steps out of userspace and looks at how eBPF-based tools like Cilium Tetragon intercept and kill malicious system calls directly inside the kernel — before they ever touch physical I/O.
Physical hardware gateways occupy a perilous position in modern infrastructure architecture. Positioned at the extreme edge of the network — on factory floors, regional utility substations, shipping hubs, and remote infrastructure sites — these machines bridge the digital cloud with physical assets. They ingest raw data from programmable logic controllers (PLCs), cameras, and environmental sensors via local interfaces like serial, CAN bus, GPIO pins, and specialized USB components.
Unlike central cloud servers isolated within guarded data centers, edge gateways are physically accessible and often operate on untrusted local networks. If an attacker gains physical or network access to an edge gateway, compromising it grants direct control over physical machinery.
Securing these nodes demands a shift in strategy. Traditional security systems fail on edge infrastructure because they operate asynchronously in userspace. To protect physical hardware, enforcement must become synchronous, pre-emptive, and bound directly to the operating system kernel.
The Flaw of Post-Facto Detection: Why Userspace Security Fails at the Edge
Historically, Host Intrusion Detection Systems (HIDS) have relied on userspace agents to monitor system health and detect malicious behavior. Older paradigms often relied on reading system audit logs (auditd), polling the /proc filesystem, or receiving asynchronous events passed from a kernel module or streaming socket.
This architectural design introduces a critical weakness at the edge: the semantic and temporal gap.
Understanding Time-of-Check to Time-of-Use (TOCTOU)
In a traditional userspace security model, when a process executes a system call — such as requesting permission to write to a raw block device or open a network socket — the sequence of events flows like this:
[Userspace Process] ---> 1. Triggers Syscall ---> Linux Kernel
|
v
[Userspace Security Agent] <--- 3. Detects/Alerts <--- 2. Logs Event Asynchronously
The malicious application invokes a system call (e.g., sys_write to an industrial interface).
The kernel processes and executes the system call, modifying the hardware state.
The kernel asynchronously logs the event via subsystems like auditd.
The userspace security agent reads the log entry, parses the text, evaluates it against a ruleset, and triggers an alert.
By the time the userspace agent reads the log, the system call has already finished executing. If a malicious process performs a local privilege escalation (LPE) exploiting a kernel vulnerability, it gains root privileges before the userspace monitor can parse the initial exploit event.
On a cloud VM, a compromised node can be isolated, torn down, and redeployed by an orchestrator within seconds. On a physical hardware gateway, an attacker who wins this race can flash malicious firmware to an attached microcontroller, overwrite the gateway’s bootloader, or command an industrial actuator to over-rotate. Once the hardware is manipulated, software-based remediation is of limited use.
The Modern Alternative: eBPF-Based Enforcement
Extended Berkeley Packet Filter (eBPF) turns the Linux kernel into a programmable sandbox. Instead of modifying kernel source code or loading unstable kernel modules, developers write lightweight programs that compile to eBPF bytecode. The bytecode is checked for safety by an in-kernel verifier (guarding against infinite loops, invalid memory access, or panics) and JIT-compiled into native CPU instructions for execution at hardware speed.
+--------------------------------------------------------------+
| USERSPACE |
| +-------------------------------------------+ |
| | Tetragon Agent Daemon | |
| +-------------------------------------------+ |
| ^ |
| gRPC / JSON | Read Alerts |
| Events | & Metrics |
| | |
+------------------------------|--------------------------------+
| KERNEL |
| | |
| | eBPF Maps (Configuration) |
| v |
| +-------------------------------------------+ |
| | eBPF Runtime Engine | |
| +-------------------------------------------+ |
| | Hook | Hook |
| v v |
| [ Syscall Table ] [ LSM Security Hooks ] |
| | | |
| +------------+-------------+ |
| | |
| v |
| Synchronous Block / Process Kill |
+--------------------------------------------------------------+
eBPF shifts security from passive logging to in-line verification. Rather than waiting for a subsystem to broadcast a log message, eBPF programs attach directly to hook points inside the kernel:
Kprobes (Kernel Probes): Dynamic hooks attached to virtually any internal kernel function.
Tracepoints: Static hooks baked into the kernel source by developers for predictable event tracking.
LSM (Linux Security Module) Hooks: Interface points along internal kernel access pathways, allowing security decisions before resource allocation completes.
Cilium Tetragon, a CNCF sub-project of Cilium, uses eBPF to monitor process execution, file and namespace integrity, network sockets, and hardware interfaces, and goes beyond visibility by performing synchronous runtime enforcement.
One nuance worth flagging: hooking a raw system call (a kprobe on sys_openat, for example) can still leave a narrow TOCTOU window if the argument being matched is a pointer into user-space memory, since a second thread could rewrite that memory between the hook firing and the kernel consuming it. Hooking a later kernel function — particularly an LSM security_* hook — avoids this, because those hooks fire on kernel-resident data that has already been copied from userspace. For the highest-assurance edge enforcement policies (blocking access to /etc/shadow or a hardware bus node), LSM hooks are generally the stronger choice; kprobes on syscalls remain useful and are what most published example policies use, but they’re a slightly weaker guarantee against a determined, fast attacker.
Structural Syscall Interception
When Tetragon is configured with an enforcement policy, its eBPF programs hook the entry point of sensitive system calls (e.g., __x64_sys_kexec_load, __x64_sys_ioctl). When a process triggers an unauthorized system call, the eBPF program intercepts the thread before the kernel processes the call.
If the arguments violate policy, the eBPF code acts immediately inside the kernel context. It can override the system call’s return value with an error code like EPERM (Operation Not Permitted), or send a fatal signal (SIGKILL) directly to the offending process’s task structure (task_struct). The process is terminated before the system call can alter the underlying physical hardware.
Hardening Edge Gateways Against Physical and Cyber Vectors
Physical hardware gateways run specialized workloads but face unique threats. Here’s how kernel-layer enforcement stops specific attack patterns targeting edge hardware.
- Blocking Unauthorized Access to Hardware Interfaces (/dev/*) Edge systems expose physical communication buses to the operating system as character or raw block devices under /dev/ (e.g., /dev/ttyUSB0 for a Modbus serial converter, /dev/can0 for an automotive network, or raw GPIO blocks).
A compromised web application or MQTT broker container running on the gateway might attempt to tamper with these interfaces. Standard UNIX permissions are insufficient if an attacker uses a local vulnerability to gain root access.
With Tetragon, you can enforce policies that monitor functions like sys_openat or fd_install at the kernel layer. Even if a process runs as root inside a compromised container, Tetragon can check its container namespace metadata. If that container is not explicitly authorized to open /dev/ttyUSB0, the kernel overrides the call, blocks the file descriptor creation, and logs a high-fidelity alert containing the container’s metadata.
- Eliminating Unauthorized Network Egress (Data Exfiltration) Industrial gateways typically talk to a specific, immutable set of endpoints: a local broker, an upstream cloud digital twin, or an NTP server. Any other network connection is suspicious.
Attackers who compromise a gateway often try to download secondary payloads, reverse-shell tools, or exfiltrate scraped configuration secrets. Tetragon intercepts network socket creation at the kernel layer via functions like tcp_connect and __sys_connect.
By evaluating network calls inside the kernel, Tetragon pairs runtime context (binary path, parent process, container ID) with network data (target IP address and port). If an unauthorized binary like curl or wget attempts to reach an unapproved port, Tetragon kills the process before a single TCP handshake packet traverses the network card — this is a documented, demonstrated pattern (blocking wget to port 443 while leaving curl unaffected is one of the examples published in Tetragon’s own field write-ups).
- Preventing Container Escape and Privilege Escalation Many edge gateways use lightweight runtimes like K3s, Docker, or Podman to manage modular services. Container containment relies on kernel namespaces and cgroups. If an attacker leverages a kernel exploit to break out of a container, they gain access to the host OS.
This isn’t a hypothetical: the Dirty Pipe vulnerability (CVE-2022-0847), disclosed in 2022, let an unprivileged process overwrite data in read-only files by exploiting a Linux pipe-buffer flaw — a bug that worked regardless of container configuration and could be used to escalate privileges or tamper with files across namespace boundaries. Tetragon’s own engineering team cites it as a canonical example of why in-kernel, namespace-aware enforcement matters even when container isolation looks solid on paper. Separately, Tetragon’s own policy documentation cites internal analysis showing a large share of container-escape exploit chains (frequently cited around 44%) rely on the ability of an unprivileged process to create a new user namespace, since doing so grants a full set of capabilities inside that namespace.
Tetragon monitors namespace transitions and credential changes in real time by hooking functions like commit_creds and syscalls like setns/unshare. By watching for capability gains (CAP_SYS_ADMIN, CAP_SYS_RAWIO) or namespace changes on processes that are not in the host namespace, Tetragon can isolate or kill a process the instant it attempts an unauthorized privilege transition — before it can execute follow-on commands on the host filesystem.
Implementing Tetragon on Bare-Metal Edge Gateways
While Tetragon is frequently deployed in Kubernetes environments, it runs equally well as a standalone system daemon on bare-metal edge nodes.
Prerequisites for Edge Nodes
To deploy eBPF-based runtime security, your edge gateway’s Linux kernel must support BTF (BPF Type Format), which allows eBPF programs to use CO-RE (Compile Once – Run Everywhere) so a program built on one kernel version can still read the right structure offsets on another.
Tetragon’s own compatibility documentation lists the following kernel configuration options as prerequisites:
CONFIG_AUDIT=y
CONFIG_AUDITSYSCALL=y
CONFIG_BPF=y
CONFIG_BPF_EVENTS=y
CONFIG_BPF_JIT=y
CONFIG_BPF_JIT_DEFAULT_ON=y
CONFIG_BPF_KPROBE_OVERRIDE=y
CONFIG_BPF_SYSCALL=y
CONFIG_CGROUPS=y
CONFIG_DEBUG_INFO_BTF=y
CONFIG_DEBUG_INFO_BTF_MODULES=y
CONFIG_FTRACE_SYSCALLS=y
CONFIG_SECURITY=y
CONFIG_BPF_KPROBE_OVERRIDE deserves a specific callout: it’s the option that gates the Override action used in the hardware-bus policy below. Without it, Tetragon can still detect and kill (Sigkill), but it cannot rewrite a syscall’s return value.
Confirm BTF support on a running node by checking for its system abstraction file:
ls -l /sys/kernel/btf/vmlinux
If you plan to use LSM-hook-based policies (the stronger enforcement point discussed above), the kernel also needs bpf enabled in its LSM stack, which on many distributions is not on by default. Check with:
cat /sys/kernel/security/lsm
If bpf isn’t in the output, it needs to be added to the lsm= kernel boot parameter (typically via /etc/default/grub and a grub config rebuild) — test this on non-production hardware first, since LSM stack changes can affect boot behavior on some platforms.
Tetragon’s own test matrix covers long-term-support kernels 4.19, 5.4, 5.10, and 5.15, and recommends the newest stable kernel practical for your hardware, since eBPF capabilities (like kprobe_multi fast-attach, or full exec-argument visibility on arm64) continue to land in newer releases.
Installation Workflow
For an edge gateway running a standard Debian, Ubuntu, or Yocto-based distribution, Tetragon can be installed directly as a binary and managed via systemd. As of this writing, the current release referenced in Tetragon’s own installation instructions is v1.7.0:
1. Fetch the latest release bundle
curl -LO https://github.com/cilium/tetragon/releases/download/v1.7.0/tetragon-v1.7.0-amd64.tar.gz
2. Extract the archive
tar -xvf tetragon-v1.7.0-amd64.tar.gz
cd tetragon-v1.7.0-amd64/
3. Execute the native installation script
sudo ./install.sh
4. Verify the system service status
sudo systemctl status tetragon
Since releases move fairly quickly, it’s worth checking the Tetragon releases page before pinning a version in provisioning scripts.
Two other supported paths worth knowing about for edge fleets:
Container deployment, useful if your gateway already runs a container runtime for its own workloads: bash docker run --name tetragon --rm -d \ --pid=host --cgroupns=host --privileged \ -v /sys/kernel/btf/vmlinux:/var/lib/tetragon/btf \ quay.io/cilium/tetragon:v1.7.0 - Helm-based install, if the gateway runs a lightweight Kubernetes distribution like K3s rather than bare systemd: bash helm repo add cilium https://helm.cilium.io helm repo update helm install tetragon cilium/tetragon -n kube-system kubectl rollout status -n kube-system ds/tetragon -w
Once running, the Tetragon daemon hooks into the kernel and streams telemetry events to its local log file at /var/log/tetragon/tetragon.log in structured JSON.
Writing Tetragon Tracing Policies for Edge Protection
Tetragon uses declarative YAML TracingPolicy custom resources to define hook points and enforcement actions. These CRs work the same way whether or not you’re running Kubernetes — on bare-metal deployments you point the daemon at a policy file directly with --tracing-policy.
Policy 1: Pre-Emptive Blocking of Unauthorized Binary Execution
This policy monitors binary execution and restricts execution within volatile or writable directories (/tmp, /var/tmp, /dev/shm), a classic staging ground for drop-and-execute payloads.
apiVersion: cilium.io/v1alpha1
kind: TracingPolicy
metadata:
name: block-volatile-execution
spec:
kprobes:
- call: "sys_execve"
syscall: true
args:
- index: 0
type: "string" # The path to the binary being executed
selectors:
- matchArgs:
- index: 0
operator: "Prefix"
values:
- "/tmp/"
- "/var/tmp/"
- "/dev/shm/"
matchActions:
- action: Sigkill
When a binary attempts to execute from /tmp/, Tetragon’s eBPF probe matches the string-prefix condition on the sys_execve call. The kernel fires the Sigkill action, terminating the process before the binary enters memory execution space.
Policy 2: Protecting Raw Physical Hardware Interfaces from Containerized Software
This policy prevents containerized processes from accessing raw serial or USB communication interfaces (/dev/ttyUSB*, /dev/bus/usb/*) unless the process is running in the host’s own namespace — i.e., it scopes enforcement to containers, leaving trusted host-level tooling unaffected.
apiVersion: cilium.io/v1alpha1
kind: TracingPolicy
metadata:
name: protect-hardware-buses
spec:
kprobes:
- call: "sys_openat"
syscall: true
args:
- index: 1
type: "string" # File path parameter
selectors:
- matchArgs:
- index: 1
operator: "Prefix"
values:
- "/dev/ttyUSB"
- "/dev/bus/usb/"
matchNamespaces:
- namespace: Pid
operator: "NotIn"
values:
- "host_ns"
matchActions:
- action: Override
argError: -1 # -EPERM: Operation Not Permitted
matchNamespaces is how Tetragon scopes a selector to “anything not running in the host’s PID namespace” — the host_ns keyword is resolved automatically to the correct namespace inode, and NotIn matches everything else, which in practice is containerized workloads. By returning -1 (-EPERM) via the Override action, the calling software receives a denied-access response as if it lacked basic file permissions, without the kernel ever executing the original sys_openat call.
Correction note: an earlier draft of this policy used a matchNamespaces block with a plain-text description (namespace: "those_outside_host_pid") instead of Tetragon’s actual namespace-type-plus-operator syntax. That field takes one of a fixed set of namespace types (Uts, Ipc, Mnt, Pid, PidForChildren, Net, Cgroup, User, and, on kernels ≥5.6, Time/TimeForChildren), an operator of In or NotIn, and either a raw namespace inode number or the host_ns keyword — never a free-text description. The corrected YAML above reflects the real schema.
Closing the Agent-Restart Gap: Persistent Enforcement
One operational risk specific to edge hardware is intermittent connectivity and periodic agent restarts — exactly the conditions where a security agent going down, even briefly, creates a window of exposure. Tetragon has an answer for this: persistent enforcement.
By running the daemon with --keep-sensors-on-exit, loaded eBPF programs stay pinned under /sys/fs/bpf/tetragon in the kernel’s BPF filesystem even if the Tetragon userspace process crashes, is killed, or is mid-restart during an update. Enforcement actions (Sigkill, Override) keep running because they live in the kernel, not in the Tetragon process itself — only the event reporting pipeline is interrupted until the daemon comes back up.
tetragon --bpf-lib bpf/objs/ --keep-sensors-on-exit --tracing-policy protect-hardware-buses.yaml
For a factory-floor gateway on a flaky WAN link, this closes exactly the kind of gap the rest of this article argues against: it means enforcement doesn’t quietly disappear during the window when the agent itself is unavailable.
Safe Rollout: Enforcement Modes
Because a bad policy can degrade node performance or, worse, kill a legitimate process on hardware you can’t easily reach in person, Tetragon supports running TracingPolicy objects in Monitoring mode (actions are logged but not enforced) versus Enforcement mode (actions run for real). The practical workflow for a new edge policy is: ship it in monitoring mode against production traffic first, confirm it only fires on genuinely unwanted behavior, then flip it to enforcement — rather than validating purely in a lab environment that may not reflect real gateway traffic patterns.
Performance Considerations for Resource-Constrained Edge Computing
Edge infrastructure often runs under strict computational constraints — industrial computers, ARM64 single-board computers, or fanless gateway boxes on lower-tier processors with limited RAM. Heavy userspace telemetry platforms can exhaust available resources, leading to packet drops or delayed sensor readings.
Tetragon minimizes overhead through aggressive in-kernel filtering:
TRADITIONAL HOST INTRUSION DETECTION (e.g., Falco)
[Kernel Space] --- Stream EVERY Syscall Event (High Context-Switching) ---> Userspace Daemon
TETRAGON eBPF ARCHITECTURE
[Kernel Space: eBPF Engine evaluates rules locally] ---> Only send verified matches/alerts ---> [Userspace Daemon]
If a system call is benign and matches normal operating parameters, Tetragon discards the trace event or increments a local counter map in-kernel. Data crosses the kernel-userspace boundary only when a policy rule is violated or an unrecognized lifecycle event occurs.
On the specific overhead figure: there isn’t one official, universally-quoted Cilium benchmark number, and published figures vary meaningfully by workload. Community write-ups from 2025–2026 report Tetragon overhead ranging from under 1% CPU on lightly-loaded nodes, to roughly 1–3% on nodes with moderate event volume and dozens of active policies, up toward 5–8% on nodes with very high syscall churn and heavy policy counts. The consistent theme across sources is that cost scales with event volume and the number of active TracingPolicy objects, not with node size — so on an edge gateway running a handful of tightly-scoped policies against a small, stable set of workloads, overhead sits at the low end of that range. Treat any single hard percentage (including ones you’ll see quoted elsewhere) as workload-dependent rather than a guaranteed figure, and benchmark against your own gateway’s actual event rate before relying on it for capacity planning.
A Known Limitation: eBPF Is Not Unbeatable
It’s worth stating plainly, since a security architecture built entirely around one control deserves scrutiny: kernel-level enforcement is not a silver bullet. An attacker who has already obtained CAP_BPF or CAP_SYS_ADMIN — for instance via a prior kernel exploit or a compromised privileged DaemonSet — can in principle load their own eBPF programs that hook the same kernel functions Tetragon monitors, filtering events before they reach Tetragon’s own userspace reporting pipeline. This is an active area of security research as of 2026, not a theoretical curiosity, and it means Tetragon (like Falco and other eBPF-based tools) is best deployed as one layer in defense-in-depth — paired with restricting which workloads can obtain CAP_BPF in the first place, monitoring for unexpected BPF program loads, and not treating any single kernel-resident agent as unconditionally trustworthy once host root is lost.
Summary Matrix: Legacy HIDS vs. eBPF Tetragon
Security Attribute Legacy Userspace HIDS (e.g., auditd, early Falco) Modern eBPF Kernel Enforcement (Tetragon)
Execution Layer Userspace agent parsing text logs or queues Native sandbox inside the kernel
Enforcement Timing Asynchronous / reactive: alert fires after the exploit or hardware modification completes Synchronous / pre-emptive: intercepts and blocks before the syscall finishes
Bypass Vulnerability High: root compromise allows attackers to disable userspace daemons or clear logs Lower, but not zero: an attacker who obtains CAP_BPF/CAP_SYS_ADMIN can attempt to load competing eBPF programs
System Resource Footprint Moderate to high, proportional to event volume passing to userspace Low, and scales with event volume and active policy count rather than node size
Edge Hardware Suitability Poor: vulnerable to TOCTOU races; risk of physical manipulation before detection Strong: hardens local I/O interfaces at the OS/driver boundary, with persistent enforcement surviving agent restarts
Conclusion: Securing the Machine Edge
As edge computing advances, protecting physical hardware requires security that matches the speed of the operating system itself. Traditional, reactive detection models leave a dangerous window open between exploit execution and userspace alerts.
By leveraging eBPF and tools like Cilium Tetragon, infrastructure engineers can build resilient, proactive guardrails around physical gateways. Shifting execution filtering down into the Linux kernel lets you intercept attacks at the system call and LSM layer. Unauthorized connection attempts are dropped, malicious privilege transitions are blocked, and tampered hardware requests are neutralized before they can touch your physical hardware — with the caveat that, like any control, it works best as one well-instrumented layer rather than the whole strategy.
Changelog
Metadata removed: the run-together title/dek block from the source export was split into a clean H1 title and a proper lede paragraph.
Corrections: - Fixed the malformed matchNamespaces block in Policy 2 (namespace: "those_outside_host_pid" is not valid Tetragon syntax). Replaced with the real schema — namespace: Pid, operator: NotIn, values: ["host_ns"] — verified against Tetragon’s official selectors documentation and multiple independently-published policy examples using the same pattern. - Expanded the kernel-config prerequisite list to match Tetragon’s official FAQ/installation docs in full (previously listed only 4 of the ~13 documented flags), and called out that CONFIG_BPF_KPROBE_OVERRIDE specifically gates the Override action used in Policy 2. - Softened the CPU-overhead claim. The original “1% to 2.5%” figure isn’t traceable to a single official Cilium benchmark; independent 2025–2026 write-ups report a range from sub-1% up to 5–8% depending on event volume and active policy count, so the article now presents it as a sourced range rather than a fixed number. - Fixed minor wording issues from the source draft (“physical physical assets,” “flashing malicious firmware”). - Added a note distinguishing kprobe-based syscall hooks (which can retain a narrow TOCTOU window on pointer arguments) from LSM hooks (which don’t), since the original draft implied the two were equally race-free.
Verified as accurate, no change needed: - The v1.7.0 install command matches Tetragon’s current official installation instructions as of this writing. - The core kprobe/tracepoint/LSM-hook architecture description, the Sigkill/Override enforcement model, and Policy 1’s YAML all check out against Tetragon’s official docs.
New sections added (verified against current sources): - Persistent enforcement (--keep-sensors-on-exit), directly relevant to edge gateways with intermittent connectivity or frequent agent restarts. - Enforcement modes (Monitoring vs. Enforcement) as a safe rollout pattern. - A concrete real-world anchor for the container-escape scenario (Dirty Pipe, CVE-2022-0847) plus the frequently-cited ~44% figure on unprivileged user-namespace creation in escape chains, from Tetragon’s own policy documentation. - A “known limitation” section on eBPF-rootkit-style threats to Tetragon/Falco-style tooling itself, sourced from current (2026) security research, for balance. - LSM bpf boot-parameter requirement, which the original draft’s kernel-config section omitted despite discussing LSM hooks as a core capability.
Sources referenced: Tetragon official site and documentation (tetragon.io — installation, FAQ, selectors, enforcement, and persistent-enforcement pages), Cilium’s Tetragon 2025 year-in-review blog post, Cilium’s “Securing the Modern Process with Tetragon” blog post, and independent 2025–2026 practitioner write-ups on Tetragon performance and eBPF-rootkit detection.
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