Implementing Fuzz Testing in CI/CD with AFL++

Overview

AFL++ (American Fuzzy Lop Plus Plus) is a community-maintained fork of AFL that provides state-of-the-art coverage-guided fuzz testing for discovering vulnerabilities in compiled applications. AFL++ uses genetic algorithms to mutate inputs, tracking code coverage to find new execution paths that trigger crashes, hangs, and undefined behavior. In CI/CD environments, AFL++ can be integrated to continuously test parsers, protocol handlers, file format processors, and any code that handles untrusted input. AFL++ supports persistent mode for high-speed fuzzing (up to 100,000+ executions per second), custom mutators, QEMU mode for binary-only fuzzing, and CmpLog/RedQueen for automatic dictionary extraction.

When to Use

When deploying or configuring implementing fuzz testing in cicd with aflplusplus capabilities in your environment
When establishing security controls aligned to compliance requirements
When building or improving security architecture for this domain
When conducting security assessments that require this implementation

Prerequisites

Linux-based CI runners (AFL++ does not support Windows natively)
GCC or Clang compiler toolchain
AFL++ installed (apt install aflplusplus or built from source)
Target application with harness functions isolating input processing
Seed corpus of valid input samples

Core Concepts

Coverage-Guided Fuzzing

AFL++ instruments the target binary at compile time (or via QEMU/Frida for binary-only targets) to track which code paths each input exercises. When a mutated input triggers a new code path, it is saved to the corpus for further mutation. This feedback loop enables AFL++ to systematically explore program state space.

Instrumentation Modes

Mode	Use Case	Performance
`afl-clang-fast` (LTO)	Source available, best performance	Highest
`afl-clang-fast`	Source available, standard	High
`afl-gcc-fast`	GCC-based projects	High
`QEMU mode`	Binary-only, no source	Medium
`Frida mode`	Binary-only, cross-platform	Medium
`Unicorn mode`	Firmware, embedded	Low

Persistent Mode

Persistent mode avoids fork overhead by fuzzing within a loop:

#include <unistd.h>

__AFL_FUZZ_INIT();

int main() {
    __AFL_INIT();
    unsigned char *buf = __AFL_FUZZ_TESTCASE_BUF;

    while (__AFL_LOOP(10000)) {
        int len = __AFL_FUZZ_TESTCASE_LEN;
        // Process buf[0..len-1]
        parse_input(buf, len);
    }
    return 0;
}

Workflow

Step 1 --- Build the Fuzzing Harness

Create a harness that feeds AFL++ input to the target function:

// fuzz_harness.c
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include "target_parser.h"

__AFL_FUZZ_INIT();

int main() {
    __AFL_INIT();
    unsigned char *buf = __AFL_FUZZ_TESTCASE_BUF;

    while (__AFL_LOOP(10000)) {
        int len = __AFL_FUZZ_TESTCASE_LEN;
        if (len < 4) continue;

        // Reset state between iterations
        parser_context_t ctx;
        parser_init(&ctx);
        parser_process(&ctx, buf, len);
        parser_cleanup(&ctx);
    }
    return 0;
}

Step 2 --- Compile with AFL++ Instrumentation

# Standard instrumentation
export CC=afl-clang-fast
export CXX=afl-clang-fast++

# Enable AddressSanitizer for better crash detection
export AFL_USE_ASAN=1

# Build the target with instrumentation
$CC -o fuzz_harness fuzz_harness.c -ltarget_parser -fsanitize=address

# Build a CmpLog binary for better coverage
$CC -o fuzz_harness_cmplog fuzz_harness.c -ltarget_parser \
  -fsanitize=address -DCMPLOG

Step 3 --- Prepare Seed Corpus

mkdir -p corpus/
# Add valid input samples
cp test_inputs/* corpus/
# Minimize the corpus
afl-cmin -i corpus/ -o corpus_min/ -- ./fuzz_harness @@
# Further minimize individual inputs
mkdir -p corpus_tmin/
for f in corpus_min/*; do
    afl-tmin -i "$f" -o "corpus_tmin/$(basename $f)" -- ./fuzz_harness @@
done

Step 4 --- Configure CI/CD Integration

GitHub Actions:

name: Fuzz Testing
on:
  push:
    branches: [main]
  schedule:
    - cron: '0 2 * * *'  # Nightly fuzzing

jobs:
  fuzz:
    runs-on: ubuntu-latest
    timeout-minutes: 120
    steps:
      - uses: actions/checkout@v4

      - name: Install AFL++
        run: |
          sudo apt-get update
          sudo apt-get install -y aflplusplus

      - name: Restore corpus cache
        uses: actions/cache@v4
        with:
          path: corpus/
          key: fuzz-corpus-${{ github.sha }}
          restore-keys: fuzz-corpus-

      - name: Build fuzzing harness
        run: |
          export CC=afl-clang-fast
          export AFL_USE_ASAN=1
          make fuzz_harness

      - name: Run AFL++ fuzzing (CI mode)
        env:
          AFL_CMPLOG_ONLY_NEW: 1
          AFL_FAST_CAL: 1
          AFL_NO_STARTUP_CALIBRATION: 1
        run: |
          mkdir -p findings/
          timeout 7200 afl-fuzz \
            -S ci_fuzzer \
            -i corpus/ \
            -o findings/ \
            -t 5000 \
            -- ./fuzz_harness @@ || true

      - name: Check for crashes
        run: |
          CRASHES=$(find findings/ -path "*/crashes/*" -not -name "README.txt" | wc -l)
          echo "Found $CRASHES unique crashes"
          if [ "$CRASHES" -gt 0 ]; then
            echo "::error::AFL++ found $CRASHES crashes"
            for crash in findings/*/crashes/*; do
              [ -f "$crash" ] && echo "Crash: $crash ($(wc -c < $crash) bytes)"
            done
            exit 1
          fi

      - name: Update corpus cache
        if: always()
        run: |
          afl-cmin -i findings/ci_fuzzer/queue/ -o corpus/ -- ./fuzz_harness @@

Step 5 --- Parallel Fuzzing for Nightly Runs

# Launch multiple secondary instances for better coverage
for i in $(seq 1 $(nproc)); do
    afl-fuzz -S fuzzer_$i \
      -i corpus/ \
      -o findings/ \
      -- ./fuzz_harness @@ &
done

# Wait for all fuzzers
wait

# Merge and minimize corpus
afl-cmin -i findings/*/queue/ -o corpus_merged/ -- ./fuzz_harness @@

Step 6 --- Crash Triage

# Reproduce and categorize crashes
for crash in findings/*/crashes/*; do
    echo "=== Testing: $crash ==="
    timeout 5 ./fuzz_harness_asan "$crash" 2>&1 | head -20
    echo "---"
done

# Deduplicate crashes by stack trace
afl-collect findings/ crashes_deduped/ -- ./fuzz_harness @@

CI/CD Best Practices for AFL++

Setting	CI Short Run	Nightly Long Run
Duration	30-60 min	4-24 hours
Mode	`-S` (secondary only)	`-S` (no `-M` for CI)
`AFL_CMPLOG_ONLY_NEW`	1	1
`AFL_FAST_CAL`	1	0
`AFL_NO_STARTUP_CALIBRATION`	1	0
Corpus caching	Required	Required
Parallel instances	1-2	nproc

Monitoring Fuzzing Campaigns

# View fuzzing statistics
afl-whatsup findings/

# Key metrics to track:
# - Total paths found (code coverage indicator)
# - Unique crashes / unique hangs
# - Stability percentage (should be >90%)
# - Exec speed (execs/sec)
# - Cycles done (full corpus cycles completed)

References

Implementing Fuzz Testing in CI/CD with AFL++

Overview

When to Use

When deploying or configuring implementing fuzz testing in cicd with aflplusplus capabilities in your environment
When establishing security controls aligned to compliance requirements
When building or improving security architecture for this domain
When conducting security assessments that require this implementation

Prerequisites

Linux-based CI runners (AFL++ does not support Windows natively)
GCC or Clang compiler toolchain
AFL++ installed (apt install aflplusplus or built from source)
Target application with harness functions isolating input processing
Seed corpus of valid input samples

Core Concepts

Coverage-Guided Fuzzing

Instrumentation Modes

Mode	Use Case	Performance
`afl-clang-fast` (LTO)	Source available, best performance	Highest
`afl-clang-fast`	Source available, standard	High
`afl-gcc-fast`	GCC-based projects	High
`QEMU mode`	Binary-only, no source	Medium
`Frida mode`	Binary-only, cross-platform	Medium
`Unicorn mode`	Firmware, embedded	Low

Persistent Mode

Persistent mode avoids fork overhead by fuzzing within a loop:

#include <unistd.h>

__AFL_FUZZ_INIT();

int main() {
    __AFL_INIT();
    unsigned char *buf = __AFL_FUZZ_TESTCASE_BUF;

    while (__AFL_LOOP(10000)) {
        int len = __AFL_FUZZ_TESTCASE_LEN;
        // Process buf[0..len-1]
        parse_input(buf, len);
    }
    return 0;
}

Workflow

Step 1 --- Build the Fuzzing Harness

Create a harness that feeds AFL++ input to the target function:

// fuzz_harness.c
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include "target_parser.h"

__AFL_FUZZ_INIT();

int main() {
    __AFL_INIT();
    unsigned char *buf = __AFL_FUZZ_TESTCASE_BUF;

    while (__AFL_LOOP(10000)) {
        int len = __AFL_FUZZ_TESTCASE_LEN;
        if (len < 4) continue;

        // Reset state between iterations
        parser_context_t ctx;
        parser_init(&ctx);
        parser_process(&ctx, buf, len);
        parser_cleanup(&ctx);
    }
    return 0;
}

Step 2 --- Compile with AFL++ Instrumentation

# Standard instrumentation
export CC=afl-clang-fast
export CXX=afl-clang-fast++

# Enable AddressSanitizer for better crash detection
export AFL_USE_ASAN=1

# Build the target with instrumentation
$CC -o fuzz_harness fuzz_harness.c -ltarget_parser -fsanitize=address

# Build a CmpLog binary for better coverage
$CC -o fuzz_harness_cmplog fuzz_harness.c -ltarget_parser \
  -fsanitize=address -DCMPLOG

Step 3 --- Prepare Seed Corpus

mkdir -p corpus/
# Add valid input samples
cp test_inputs/* corpus/
# Minimize the corpus
afl-cmin -i corpus/ -o corpus_min/ -- ./fuzz_harness @@
# Further minimize individual inputs
mkdir -p corpus_tmin/
for f in corpus_min/*; do
    afl-tmin -i "$f" -o "corpus_tmin/$(basename $f)" -- ./fuzz_harness @@
done

Step 4 --- Configure CI/CD Integration

GitHub Actions:

name: Fuzz Testing
on:
  push:
    branches: [main]
  schedule:
    - cron: '0 2 * * *'  # Nightly fuzzing

jobs:
  fuzz:
    runs-on: ubuntu-latest
    timeout-minutes: 120
    steps:
      - uses: actions/checkout@v4

      - name: Install AFL++
        run: |
          sudo apt-get update
          sudo apt-get install -y aflplusplus

      - name: Restore corpus cache
        uses: actions/cache@v4
        with:
          path: corpus/
          key: fuzz-corpus-${{ github.sha }}
          restore-keys: fuzz-corpus-

      - name: Build fuzzing harness
        run: |
          export CC=afl-clang-fast
          export AFL_USE_ASAN=1
          make fuzz_harness

      - name: Run AFL++ fuzzing (CI mode)
        env:
          AFL_CMPLOG_ONLY_NEW: 1
          AFL_FAST_CAL: 1
          AFL_NO_STARTUP_CALIBRATION: 1
        run: |
          mkdir -p findings/
          timeout 7200 afl-fuzz \
            -S ci_fuzzer \
            -i corpus/ \
            -o findings/ \
            -t 5000 \
            -- ./fuzz_harness @@ || true

      - name: Check for crashes
        run: |
          CRASHES=$(find findings/ -path "*/crashes/*" -not -name "README.txt" | wc -l)
          echo "Found $CRASHES unique crashes"
          if [ "$CRASHES" -gt 0 ]; then
            echo "::error::AFL++ found $CRASHES crashes"
            for crash in findings/*/crashes/*; do
              [ -f "$crash" ] && echo "Crash: $crash ($(wc -c < $crash) bytes)"
            done
            exit 1
          fi

      - name: Update corpus cache
        if: always()
        run: |
          afl-cmin -i findings/ci_fuzzer/queue/ -o corpus/ -- ./fuzz_harness @@

Step 5 --- Parallel Fuzzing for Nightly Runs

# Launch multiple secondary instances for better coverage
for i in $(seq 1 $(nproc)); do
    afl-fuzz -S fuzzer_$i \
      -i corpus/ \
      -o findings/ \
      -- ./fuzz_harness @@ &
done

# Wait for all fuzzers
wait

# Merge and minimize corpus
afl-cmin -i findings/*/queue/ -o corpus_merged/ -- ./fuzz_harness @@

Step 6 --- Crash Triage

# Reproduce and categorize crashes
for crash in findings/*/crashes/*; do
    echo "=== Testing: $crash ==="
    timeout 5 ./fuzz_harness_asan "$crash" 2>&1 | head -20
    echo "---"
done

# Deduplicate crashes by stack trace
afl-collect findings/ crashes_deduped/ -- ./fuzz_harness @@

CI/CD Best Practices for AFL++

Setting	CI Short Run	Nightly Long Run
Duration	30-60 min	4-24 hours
Mode	`-S` (secondary only)	`-S` (no `-M` for CI)
`AFL_CMPLOG_ONLY_NEW`	1	1
`AFL_FAST_CAL`	1	0
`AFL_NO_STARTUP_CALIBRATION`	1	0
Corpus caching	Required	Required
Parallel instances	1-2	nproc

Monitoring Fuzzing Campaigns

# View fuzzing statistics
afl-whatsup findings/

# Key metrics to track:
# - Total paths found (code coverage indicator)
# - Unique crashes / unique hangs
# - Stability percentage (should be >90%)
# - Exec speed (execs/sec)
# - Cycles done (full corpus cycles completed)

implementing-fuzz-testing-in-cicd-with-aflplusplus

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Implementing Fuzz Testing in CI/CD with AFL++

Overview

When to Use

Prerequisites

Core Concepts

Coverage-Guided Fuzzing

Instrumentation Modes

Persistent Mode

Workflow

Step 1 --- Build the Fuzzing Harness

Step 2 --- Compile with AFL++ Instrumentation

Step 3 --- Prepare Seed Corpus

Step 4 --- Configure CI/CD Integration

Step 5 --- Parallel Fuzzing for Nightly Runs

Step 6 --- Crash Triage

CI/CD Best Practices for AFL++

Monitoring Fuzzing Campaigns

References

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Implementing Fuzz Testing in CI/CD with AFL++

Overview

When to Use

Prerequisites

Core Concepts

Coverage-Guided Fuzzing

Instrumentation Modes

Persistent Mode

Workflow

Step 1 --- Build the Fuzzing Harness

Step 2 --- Compile with AFL++ Instrumentation

Step 3 --- Prepare Seed Corpus

Step 4 --- Configure CI/CD Integration

Step 5 --- Parallel Fuzzing for Nightly Runs

Step 6 --- Crash Triage

CI/CD Best Practices for AFL++

Monitoring Fuzzing Campaigns

References