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Younggi Seo (Daniel)

Younggi Seo (Daniel)

Cyber Security Consultant | Cloud Security (Azure, AKS) | SIEM (Microsoft Sentinel) | ISO 27001 / GRC

ㅣFROM TO EBPF ROOTKITS:

Why Understanding Memory Internals Became Essential for Proactive Linux Defense

4 min readMay 17, 2026

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“You cannot defend what you cannot trace.”

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Like tiramisu, milk, and coffee — proactive defense begins when different layers blend together.

A few months ago, I wrote about low-level C internals through a simple lens: how functions like and interact with memory and buffers inside a process. At the time, the focus was educational — understanding stack behavior, pointer movement, and how unsafe memory handling leads to vulnerabilities.

But recently, while researching Linux kernel telemetry and eBPF-based threat detection, I realized something important:

The same memory-level understanding that explains buffer overflows
also explains why modern Linux rootkits are becoming invisible.

This realization became the foundation for a new research direction:
building an eBPF-based security monitoring framework inspired by real-world attacks such as BPFDoor.

Why BPFDoor Changed My Perspective

In 2025, several Korean ISP providers were reportedly compromised through malware associated with the BPFDoor family — a stealthy Linux backdoor linked to the Red Menshen APT group. Unlike traditional malware, BPFDoor does not rely on listening ports or obvious user-space processes.

Instead, it abuses packet filtering mechanisms at the kernel level.

That detail matters.

Traditional defenses often assume visibility begins at:

  • sockets
  • ports
  • firewall logs
  • user-space processes

BPFDoor bypasses that assumption entirely.

The Real Problem: Visibility Gap Inside the Kernel

Classic EDR and anti-malware systems mostly observe:

  • system calls
  • processes
  • file activity
  • network sockets

But BPFDoor leverages:

  • cBPF/eBPF filters
  • raw packet inspection
  • kernel-level packet matching
  • magic packet activation

Meaning:

The malicious trigger may never appear
as a normal network connection.

The malware can stay dormant for months until it receives a specially crafted packet.

No open port.
No suspicious daemon.
Minimal forensic footprint.

This is exactly why conventional firewall-centric thinking fails.

From to Kernel Memory Introspection

At first glance, a blog post about and a kernel-level rootkit may seem unrelated.

But they share the same foundation:

Understanding how memory and execution flow actually work.

When developers casually use:

strcpy(buffer, input);

they often ignore:

  • stack layout
  • return addresses
  • pointer boundaries
  • overflow propagation

Similarly, many security teams discuss Linux malware without understanding:

  • kernel hooks
  • BPF verifier behavior
  • kprobe attachment points
  • perf event streams
  • syscall transitions

In both cases, abstraction hides reality.

And attackers thrive in that hidden layer.

Why eBPF Matters for Defensive Security

eBPF is often described as:

“a programmable Linux kernel subsystem.”

But for defenders, it is more than observability tooling.

It is:

a mechanism for reconstructing kernel intent in real time.

Using:

  • kprobes
  • tracepoints
  • perf events
  • ring buffers
  • BPF maps

we can observe:

  • syscall behavior
  • packet traversal
  • suspicious hooks
  • privilege escalation patterns
  • hidden execution flow

This creates the possibility of Proactive Defense instead of reactive IOC matching.

Threat Intelligence Meets Kernel Telemetry

One insight that strongly influenced this research came from ISO 27001:2022 and ISMS control mappings.

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Traditionally, compliance frameworks discuss:

  • malware control
  • logging
  • threat intelligence
  • configuration management

at a policy level.

However, modern threats like BPFDoor force a deeper question:

How do you collect operational threat intelligence
if the attack exists below your visibility layer?

This is where eBPF changes the conversation.

Instead of only collecting:

  • hashes
  • IP addresses
  • signatures

we can collect:

  • syscall patterns
  • kernel execution traces
  • packet anomalies
  • behavioral telemetry

In other words:

Threat Intelligence becomes executable telemetry.

The Goal of My eBPF Monitoring Project

The project I’m currently designing focuses on:

eBPF-based behavioral monitoring
for stealthy kernel-level attack detection

Core concepts include:

  • packet tracing via kprobes
  • perf-event collection
  • syscall telemetry modeling
  • suspicious BPF activity monitoring
  • collection-oriented security architecture

The purpose is not merely malware detection.

It is to understand:

how attackers think at the kernel boundary.

Why This Matters for Embedded & Automotive Security

Interestingly, this research also connects directly to embedded and automotive security.

Modern ECUs and IoT devices increasingly run:

  • Embedded Linux
  • custom kernels
  • ARM-based SoCs

As vehicles become software-defined systems, kernel telemetry and firmware integrity become security-critical.

Concepts such as:

  • Secure Boot
  • firmware integrity validation
  • HSM-backed key storage
  • runtime telemetry

all converge toward the same question:

Can we trust what is executing underneath the application layer?

That is no longer just a Linux server problem.

It is becoming an automotive problem.

Final Thoughts

Learning low-level C internals once felt like an academic exercise.

Now I see it differently.

Understanding:

  • pointers
  • stack frames
  • memory boundaries
  • kernel execution flow

is becoming foundational for modern security engineering.

Because advanced threats no longer operate only in user space.

They live:

  • inside telemetry gaps
  • inside packet filters
  • inside kernel execution paths
  • inside assumptions defenders forgot to question

And if defenders cannot observe those layers,
they cannot defend them.

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Younggi Seo (Daniel)
Younggi Seo (Daniel)

Written by Younggi Seo (Daniel)

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Cyber Security Consultant | Cloud Security (Azure, AKS) | SIEM (Microsoft Sentinel) | ISO 27001 / GRC