eBPF: Kernel Programming for Network Security
Complete guide to eBPF technology - how it revolutionizes kernel-level programming, network security, and observability
eBPF: Kernel Programming for Network Security
Introduction / Введение
eBPF (extended Berkeley Packet Filter) has revolutionized how we interact with the Linux kernel. Once limited to packet filtering, eBPF has evolved into a powerful runtime environment that enables secure, efficient kernel-level programming without requiring kernel recompilation or loading kernel modules.
eBPF (extended Berkeley Packet Filter) революционизировал взаимодействие с ядром Linux. Eволюционировав от просто фильтрации пакетов, eBPF стал мощной средой выполнения, обеспечивающей безопасное и эффективное программирование на уровне ядра без переконфигурации ядра.
The Evolution of eBPF
From BPF to eBPF / От BPF к eBPF
1992: Berkeley Packet Filter (BPF)
└─ Packet filtering in tcpdump
└─ In-kernel virtual machine (no userspace context switching)
2013: Extended BPF (eBPF)
└─ Arbitrary kernel programming
└─ Maps for data storage
└─ Helper functions
└─ Kprobes, tracepoints, perf events
2015: tc (traffic control) eBPF support
└─ Programmable packet scheduling
2017: XDP (eXpress Data Path)
└─ Early packet processing (before kernel stack)
2019: LSM hooks for eBPF
└─ Kernel security module via eBPF
2023: BPF CO-RE (Compile Once, Run Everywhere)
└─ Portability across kernel versions
Why eBPF Matters for Security
Traditional Kernel Module Challenges
Kernel Module Approach:
┌─────────────────────────────┐
│ 1. Write C code in kernel │
│ 2. Compile module │
│ 3. Insert into running kernel
│ 4. Test thoroughly │
│ 5. Roll back on failure │
│ 6. Recompile kernel version │
└─────────────────────────────┘
Risk: Kernel crash, security holes
Timeline: Hours to weeks
eBPF Approach
eBPF Approach:
┌─────────────────────────────┐
│ 1. Write eBPF program │
│ 2. Compile to bytecode │
│ 3. Load into kernel │
│ 4. Verify and sandbox │
│ 5. Execute safely │
└─────────────────────────────┘
Risk: Sandboxed, verified
Timeline: Seconds
eBPF Architecture
Component Overview / Обзор компонентов
┌────────────────────────────────────────────┐
│ User Space │
│ ┌──────────────────────────────────────┐ │
│ │ eBPF Application (e.g., Cilium) │ │
│ │ ├─ Control plane │ │
│ │ ├─ Policy management │ │
│ │ └─ Telemetry collection │ │
│ └──────────────┬───────────────────────┘ │
│ │ BPF() syscall │
├─────────────────┼──────────────────────────┤
│ Kernel Space (Linux) │
│ ┌──────────────▼───────────────────────┐ │
│ │ eBPF Verifier & Loader │ │
│ │ ├─ Type checking │ │
│ │ ├─ Bounds analysis │ │
│ │ └─ Memory safety │ │
│ └──────────────┬───────────────────────┘ │
│ ┌──────────────▼───────────────────────┐ │
│ │ eBPF Virtual Machine (JIT compiled) │ │
│ │ ├─ Hook points (kprobes, etc) │ │
│ │ ├─ Maps (shared data) │ │
│ │ └─ Helper functions │ │
│ └──────────────┬───────────────────────┘ │
│ ┌──────────────▼───────────────────────┐ │
│ │ Target Subsystems │ │
│ │ ├─ Network (XDP, tc, socket) │ │
│ │ ├─ Tracing (kprobes, uprobes) │ │
│ │ ├─ Security (LSM) │ │
│ │ └─ Observability (perf) │ │
│ └──────────────────────────────────────┘ │
└────────────────────────────────────────────┘
Hook Points / Точки подключения
| Hook Type | Location | Use Case | Performance |
|---|---|---|---|
| XDP | Driver layer | DDoS mitigation | Fastest (ns) |
| TC | Qdisc layer | Traffic shaping | Fast (us) |
| Kprobe | Kernel function | Tracing, monitoring | Good (us) |
| Uprobe | User function | Application tracing | Variable |
| Tracepoint | Instrumented code | Event collection | Good (us) |
| LSM | Security hooks | Access control | Medium (us) |
| Socket | Socket syscalls | Connection filtering | Good (us) |
eBPF Security Architecture
Verification Process
Every eBPF program goes through rigorous verification:
1. Static Analysis
├─ Check register values
├─ Verify bounds on all memory access
├─ Ensure no unbounded loops
└─ Validate pointer arithmetic
2. Control Flow Analysis
├─ Detect unreachable code
├─ Verify all paths terminate
├─ Check stack depth < 512 bytes
└─ Ensure valid instruction flow
3. Memory Safety
├─ No arbitrary kernel memory access
├─ All array bounds checked
├─ Pointer validation
└─ Type safety enforcement
4. Execution Sandbox
├─ Limited instruction set
├─ No infinite loops
├─ Bounded execution time
└─ Resource limits enforced
Sandboxing Model
eBPF programs run in a strict sandbox:
// ✅ ALLOWED: Read from maps
struct bpf_map_def SEC("maps") my_map = {
.type = BPF_MAP_TYPE_HASH,
.key_size = sizeof(u32),
.value_size = sizeof(u64),
.max_entries = 10000,
};
// ✅ ALLOWED: Use helper functions
int packets = bpf_ktime_get_ns();
// ❌ FORBIDDEN: Arbitrary kernel memory access
void *kernel_ptr = (void *)0xffffffff81000000;
*kernel_ptr = 0; // Verifier rejects this
// ❌ FORBIDDEN: Infinite loops
while(1) { } // Verifier rejects this
CloudBridge eBPF Security Implementation
Zero Trust Network Overlay with eBPF
We’ve built a complete security system using eBPF:
// Simplified version of CloudBridge security policy
#include <linux/in.h>
#include <linux/ip.h>
#include <linux/tcp.h>
struct policy_key {
__u32 source_ip;
__u32 dest_ip;
__u16 dest_port;
};
struct bpf_map_def SEC("maps") security_policies = {
.type = BPF_MAP_TYPE_HASH,
.key_size = sizeof(struct policy_key),
.value_size = sizeof(__u32),
.max_entries = 100000,
};
SEC("xdp")
int security_enforce(struct xdp_md *ctx) {
// Parse packet
void *data_end = (void *)(long)ctx->data_end;
void *data = (void *)(long)ctx->data;
struct ethhdr *eth = data;
if ((void *)(eth + 1) > data_end)
return XDP_PASS; // Not our packet
if (eth->h_proto != bpf_htons(ETH_P_IP))
return XDP_PASS; // Not IPv4
struct iphdr *iph = (void *)(eth + 1);
if ((void *)(iph + 1) > data_end)
return XDP_DROP; // Malformed
struct tcphdr *tcp = (void *)(iph + 1);
if ((void *)(tcp + 1) > data_end)
return XDP_PASS; // Not TCP
// Check security policy
struct policy_key key = {
.source_ip = iph->saddr,
.dest_ip = iph->daddr,
.dest_port = tcp->dest,
};
__u32 *allowed = bpf_map_lookup_elem(&security_policies, &key);
if (!allowed) {
// Policy denial - log and drop
return XDP_DROP;
}
return XDP_PASS;
}
Performance Metrics
Performance impact of our eBPF security layer:
Metric | Baseline | With eBPF | Overhead
------------------------|----------|-----------|----------
Throughput | 100 Gbps | 99.5 Gbps | 0.5%
Latency (p50) | 1.2 µs | 1.3 µs | +0.1 µs
Latency (p99) | 2.4 µs | 2.5 µs | +0.1 µs
CPU per packet | 12 cycles| 18 cycles | 6 cycles
Security checks/sec | - | 8.2M | -
Policy lookup time | - | 200ns | -
Drop decision latency | - | 150ns | -
eBPF Programming Fundamentals
Writing Your First eBPF Program
#include <linux/bpf.h>
#include <bpf/bpf_helpers.h>
// Define a counter map
struct {
__uint(type, BPF_MAP_TYPE_ARRAY);
__uint(max_entries, 1);
__type(key, __u32);
__type(value, __u64);
} counters SEC(".maps");
// XDP program
SEC("xdp")
int count_packets(struct xdp_md *ctx) {
// Get counter
__u32 key = 0;
__u64 *count = bpf_map_lookup_elem(&counters, &key);
if (!count)
return XDP_DROP; // Counter not initialized
// Increment atomically
__sync_fetch_and_add(count, 1);
// Allow packet to proceed
return XDP_PASS;
}
char LICENSE[] SEC("license") = "GPL";
Loading and Using
# Compile eBPF program
clang -O2 -target bpf -c program.c -o program.o
# Load into kernel
ip link set dev eth0 xdp obj program.o sec xdp
# Check loaded program
ip link show dev eth0
# Get statistics
cat /proc/net/xdp_stats
# Unload
ip link set dev eth0 xdp off
Real-World Applications
1. DDoS Mitigation
Detect and drop attacks at the driver level:
Traditional Firewall: Process every packet through kernel stack
├─ User space context switch
├─ Network protocol processing
├─ Application-level decisions
└─ Result: Can't handle > 100k pps
eBPF/XDP Firewall: Drop malicious packets before kernel stack
├─ Direct driver access
├─ Simple decision logic
├─ In-kernel only
└─ Result: Handle > 10 million pps
2. Network Observability
Collect detailed network metrics without overhead:
Using eBPF:
- Track all TCP connections in real-time
- Measure latency per flow
- Monitor encryption without decryption
- Generate flow logs at line rate
Performance: < 2% CPU overhead at 10 Gbps
vs Traditional tcpdump:
- > 50% CPU overhead at 10 Gbps
- Drops packets under load
- Limited to monitoring mode
3. Container Networking
CloudBridge uses eBPF for container security:
┌──────────────────────────────────┐
│ Container Network Policy │
├──────────────────────────────────┤
│ eBPF Socket Filter │
│ ├─ Enforce network policies │
│ ├─ Isolate containers │
│ └─ Track all connections │
├──────────────────────────────────┤
│ eBPF TC Filter │
│ ├─ Rate limiting │
│ ├─ Traffic shaping │
│ └─ Bandwidth allocation │
├──────────────────────────────────┤
│ Underlying Network │
└──────────────────────────────────┘
Advanced eBPF Techniques
Ring Buffers for Efficient Data Transfer
struct {
__uint(type, BPF_MAP_TYPE_RINGBUF);
__uint(max_entries, 256 * 1024);
} events SEC(".maps");
struct event {
__u32 pid;
char comm[16];
__u32 exit_code;
};
SEC("tp/sched/sched_process_exit")
int handle_exit(struct trace_event_raw_sched_process_exit *ctx) {
struct event *e = bpf_ringbuf_reserve(&events, sizeof(*e), 0);
if (!e)
return 0;
e->pid = ctx->pid;
__builtin_memcpy(&e->comm, &ctx->comm, sizeof(e->comm));
e->exit_code = ctx->exit_code >> 8;
bpf_ringbuf_submit(e, 0);
return 0;
}
Per-CPU Maps for Lock-Free Access
struct {
__uint(type, BPF_MAP_TYPE_PERCPU_ARRAY);
__uint(max_entries, 100);
__type(key, __u32);
__type(value, __u64);
} per_cpu_data SEC(".maps");
SEC("xdp")
int count_per_cpu(struct xdp_md *ctx) {
__u32 cpu_id = bpf_get_smp_processor_id();
__u64 *count = bpf_map_lookup_elem(&per_cpu_data, &cpu_id);
if (count)
__sync_fetch_and_add(count, 1);
return XDP_PASS;
}
Challenges and Solutions
Challenge 1: Kernel Version Compatibility
Problem: eBPF features vary by kernel version
Solution: Use BPF CO-RE (Compile Once, Run Everywhere)
// CO-RE compatible code
#define PT_REGS_PARM1(x) ((x)->di) // Works across kernels
Challenge 2: Debugging Difficulties
Problem: Limited debugging capabilities in kernel space
Solution: Use bpf_trace_printk for debugging
char msg[] = "Debug: packet size = %d\n";
bpf_trace_printk(msg, sizeof(msg), ctx->data_end - ctx->data);
// View output
cat /sys/kernel/debug/tracing/trace_pipe
Challenge 3: Verifier Rejection
Problem: Complex logic can exceed verifier limits
Solution: Simplify or use tail calls
// Tail call to another eBPF program
struct {
__uint(type, BPF_MAP_TYPE_PROG_ARRAY);
__uint(max_entries, 10);
} jmp_table SEC(".maps") = {
.values = {
[0] = (void *)&handle_syn,
[1] = (void *)&handle_ack,
},
};
bpf_tail_call(ctx, &jmp_table, packet_type);
Deployment Best Practices
Development Workflow
# 1. Write eBPF program
vim program.c
# 2. Compile
clang -O2 -target bpf -c program.c -o program.o
# 3. Load into kernel
bpftool prog load program.o /sys/fs/bpf/my_prog
# 4. Test thoroughly
./test_program.sh
# 5. Deploy to production
ansible-playbook deploy_ebpf.yml
Monitoring and Observability
# List loaded programs
bpftool prog list
# Inspect program statistics
bpftool prog stat
# Dump program details
bpftool prog dump xlated id 123
# Monitor with perf
perf stat -e bpf_run_prog
Future of eBPF
Emerging Use Cases
- User Space eBPF: Running eBPF outside kernel
- AI-Driven Networking: ML models in eBPF
- Multi-Language Support: eBPF for all languages
- Windows Support: eBPF on Windows kernel
CloudBridge Roadmap
Q4 2025: eBPF-based packet acceleration
Q1 2026: ML-optimized packet routing with eBPF
Q2 2026: eBPF-based threat detection
Q3 2026: Full eBPF control plane
Conclusion
eBPF fundamentally changed kernel programming:
- ✅ Safe kernel-level programming
- ✅ No kernel recompilation
- ✅ Efficient and fast
- ✅ Portable across systems
- ✅ Perfect for networking and security
eBPF is not just a technology—it’s the future of systems programming.
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