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License Platform

DOSArena

The first DoS/DDoS training platform with live proof-of-impact scoring.
8 scenarios. 15 containers. Flags are only issued when your attack is actually working.


Table of Contents

Click to collapse/expand
  1. What is DOSArena
  2. Attack Taxonomy
  3. Judge Architecture
  4. Project Structure
  5. Network Topology
  6. Quick Start — Docker
  7. Scenarios
  8. Flag System
  9. Judge API
  10. Quick Start — Terraform AWS
  11. Monitoring
  12. Troubleshooting
  13. Bibliography
  14. License
  15. Contact

What is DOSArena

DOSArena is a purpose-built lab environment for learning denial-of-service techniques through hands-on execution. It is the companion platform for Floodles, the modular DoS/DDoS testing toolkit.

Classic CTF challenges ask you to find a flag in a file. DOSArena inverts this: you prove a service is unavailable. The judge service continuously polls every target every 5 seconds. When it confirms your attack is working — by observing degraded HTTP responses, exhausted connection tables, anomalous packet rates, or active amplification — it generates a time-windowed cryptographic flag. Your attack must still be running when you submit it.

Two deployment modes:

  • Docker — full local lab on a single machine, 15 containers across 4 isolated networks
  • Terraform — cloud deployment on AWS, one attacker node and seven target instances

The platform documentation is at franckferman.github.io/DOSArena.


Attack Taxonomy

DOSArena covers three categories of DoS/DDoS techniques across the OSI stack.

Layer 3/4 — Network and Transport

SYN Flood (scenario 01)

TCP connection establishment requires the server to allocate a Transmission Control Block (TCB) in kernel memory for each incoming SYN packet and place the entry in the SYN backlog queue (tcp_max_syn_backlog, default 128-1024; set to 8 in this lab). If SYN cookies are disabled (tcp_syncookies = 0), this memory is allocated before the client completes the handshake. With spoofed source IPs, the SYN-ACK replies go to non-existent hosts that never send a final ACK. Each half-open entry persists for ~75 seconds (the SYN-RECV retransmission timeout). When the backlog fills, subsequent SYN packets are silently dropped.

Memory cost is negligible: 128 entries x ~200 bytes per TCB = ~25 KB. At just 2 PPS the queue stays permanently saturated (128 / 75s = 1.7 PPS to fill it). SYN cookies (RFC 4987) solve this by encoding connection state into the ISN (Initial Sequence Number) using a hash of (src_ip, src_port, dst_ip, dst_port, timestamp). No memory is allocated until the ACK arrives and validates the ISN.

ACK Flood / Stateless Firewall Bypass (scenario 03)

A stateless packet filter evaluates each packet independently against a fixed ruleset (source/destination IP, port, protocol). It carries no memory between packets. An iptables rule -A INPUT -p tcp --dport 80 -j ACCEPT passes any TCP packet destined for port 80 — including ACK packets sent without a prior SYN. A stateful firewall maintains a connection tracking table (nf_conntrack) and rejects packets whose state does not match an established session.

In a real engagement, ACK bypass is used to probe services hidden behind stateless filters, trigger RST storms on the backend, or saturate CPU with kernel TCP stack processing at near line-rate.

Layer 4 Amplification — Distributed Reflective DoS (DRDoS)

All three amplification scenarios share the same structure: a small request sent with a spoofed source IP (set to the victim's address) causes a reflector to send a disproportionately large response to the victim.

Reflector Protocol Request Response Factor
BIND9 open resolver DNS ANY query (UDP/53) ~50 B ~3,000 B ~60x
NTPd monlist (mode 7, code 42) NTP (UDP/123) 8 B up to 43,200 B ~550x
Net-SNMP GetBulkRequest SNMP v2c (UDP/161) ~60 B up to 65,507 B ~650x

DNS amplification (scenario 04): A DNS ANY query for a large domain record (e.g., isc.org ANY) returns TXT, MX, NS, and A records in a single response. BIND9 configured as an open resolver (recursion yes; allow-recursion { any; };) will answer for any domain from any source, making it an ideal reflector.

NTP monlist (scenario 05): NTP mode 7 (private mode) with request code 42 (MON_GETLIST_1) returns up to 600 client IP entries, each 72 bytes. An 8-byte NTP request triggers up to 480 UDP packets (600 × 72 = 43,200 B) in response. This was disclosed in CVE-2013-5211 and patched in NTPd 4.2.7p26 with disable monitor. The lab target runs an unpatched version.

SNMP amplification (scenario 06): SNMP v2c GetBulkRequest with max-repetitions=255 targeting the MIB-II root (.1.3.6.1.2.1) dumps the entire device MIB — system info, interfaces, IP routing tables, TCP connections, UDP stats. Community string public is the default in most Net-SNMP deployments. Response fills multiple UDP datagrams up to the 65,507-byte UDP payload limit.

The judge gates these three scenarios with an active-attack detection mechanism: it reads Docker stats twice (1 second apart) and confirms the reflector container's RX packet rate exceeds 50 PPS before issuing the flag.

Layer 7 — Application

Slowloris (scenario 02): Robert Hansen's 2009 attack exploits Apache's prefork/worker concurrency model. Each HTTP connection consumes one worker thread. HTTP/1.1 requests terminate with a blank line (\r\n\r\n). An attacker opens many connections, sends a partial request, then drip-feeds junk headers (e.g., X-Custom-1234: value\r\n) at one per 10 seconds — never completing the request. Workers block indefinitely waiting for the terminating blank line. With 200 sockets against a server configured MaxRequestWorkers 150, the server is fully saturated at under 1 KB/s total bandwidth. Event-driven servers (nginx, HAProxy) are immune: a single thread manages thousands of connections in a non-blocking I/O loop.

Slow POST / RUDY (scenario 08): R-U-Dead-Yet extends the Slowloris concept to the request body. The attacker sends a complete, valid HTTP header including Content-Length: 10000000, then delivers the declared body at one byte every 10 seconds. Servers protected against Slowloris with mod_reqtimeout on headers still wait for the full declared body to arrive. Workers are tied up for the same reason — the connection is legitimate from the HTTP protocol perspective.

TCP Connection Starvation (scenario 07): Databases accept TCP connections before any application-level authentication. Each incoming TCP connection (after the 3-way handshake) consumes a slot from the database's max_connections pool. On MySQL 8.0, the default is 151; this target is configured at 50. An attacker opens 60 TCP connections to port 3306, holds them open (no SQL sent, just the TCP connection), and subsequent legitimate clients receive ERROR 1040 (HY000): Too many connections. No MySQL credentials are required.


Judge Architecture

The judge is an async Python service (aiohttp) that runs the entire scoring engine: target polling, attack detection, flag generation, flag verification, score tracking, and hint delivery.

Polling Loop

every 5 seconds:
  for each scenario:
    probe(target) -> ProbeResult(success: bool, detail: str, latency_ms: float)
    if success:
      generate_flag(scenario_id, current_time_window)
      update state

Each scenario has a dedicated probe function matched to the attack type:

Probe Detection method
probe_http HTTP GET with configurable latency threshold (2000-5000ms) or status codes 429/503/500
probe_syn_flood Docker stats: RX PPS on dosarena_apache_vuln >= 1000 PPS
probe_slowloris /proc/net/tcp inside container: ESTABLISHED connections to port 80 (hex 0050) in state 01 >= 50
probe_dns / probe_ntp / probe_snmp Protocol capability confirmed AND RX PPS on reflector container >= 50 PPS (active-attack gate)
probe_db TCP connect to port 3306/5432: "Too many connections" in banner, connection refused, or timeout

Slowloris Detection via Docker Exec API

The judge reads /proc/net/tcp from inside the target container without a shell or SSH. It calls the Docker Engine API over the Unix socket (/var/run/docker.sock) using a custom http.client subclass:

POST /containers/dosarena_apache_vuln/exec
  { "AttachStdout": true, "Cmd": ["cat", "/proc/net/tcp"] }
-> exec_id

POST /exec/<exec_id>/start
-> multiplexed stream (8-byte header per chunk: [stream_type, 0, 0, 0, size_be_4])

parse stdout chunks:
  for each line in /proc/net/tcp:
    local_addr = parts[1]   # hex: "00000000:0050" for 0.0.0.0:80
    state      = parts[3]   # "01" = ESTABLISHED, "03" = SYN_RECV
    if local_addr ends with ":0050" and state == "01":
      count++

This unambiguously distinguishes Slowloris (ESTABLISHED connections, state 01) from SYN flood (SYN_RECV entries, state 03).

HMAC-SHA256 Time-Windowed Flags

Flags are generated with a sliding time window keyed by HMAC-SHA256:

window = int(time.time()) // FLAG_TTL   # FLAG_TTL = 300s (5 min)
payload = f"{scenario_id}:{window}".encode()
sig = hmac.new(SECRET.encode(), payload, sha256).hexdigest()[:24]
flag = f"DOSARENA{{{scenario_id.upper()}_{sig}}}"

Verification accepts two windows (current and previous) to handle clock skew between generation and submission:

def verify_flag(scenario_id, flag):
    cur = _window()
    for w in [cur, cur - 1]:
        if hmac.compare_digest(flag, generate_flag(scenario_id, w)):
            return True
    return False

A valid flag submission also requires that the judge has independently confirmed degradation (probe.success == True) at the moment of submission — preventing flag reuse after an attack stops.


Project Structure

DOSArena/
├── Makefile                     All commands: up / down / clean / shell / status / tf-*
├── README.md
│
├── judge/                       Judge service
│   ├── judge.py                 Async polling + HMAC flag generation + REST API
│   ├── hints.py                 Progressive hints — 3 levels per scenario
│   ├── writeups.py              Full writeups — unlocked after correct submission
│   └── Dockerfile
│
├── ui/
│   └── cli.py                   Player terminal interface (Rich TUI)
│
├── docs/                        Static site (GitHub Pages)
│   ├── index.html               Landing page
│   └── dashboard.html           Live monitoring dashboard
│
├── docker/                      Local lab
│   ├── docker-compose.yml       Full lab: 15 containers, 4 networks
│   ├── attacker/                Attacker node — Floodles, hping3, Scapy, nmap, ntp/snmp tools
│   ├── monitor/                 Prometheus config + node-exporter
│   ├── scenarios/               Scenario runner and target reference (run.py)
│   └── targets/                 8 vulnerable + 2 hardened targets
│       ├── apache-vuln/         Apache 2.4, MaxRequestWorkers=150, tcp_syncookies=0
│       ├── apache-protected/    Apache + mod_reqtimeout + iptables + SYN cookies
│       ├── nginx-protected/     nginx event-driven + rate limiting + header timeouts
│       ├── dns-open/            BIND9 — recursion yes, allow-recursion any
│       ├── ntp-vuln/            NTPd 4.2.6 — monlist enabled, disable monitor absent
│       ├── snmp-vuln/           Net-SNMP — community=public, no ACL
│       ├── firewall-stateless/  iptables rules without -m state
│       └── firewall-stateful/   iptables + conntrack, limited connection table
│
└── terraform/aws/               Cloud lab
    ├── main.tf                  VPC + 7 EC2 instances + security groups
    ├── variables.tf
    └── user_data/               Bootstrap scripts per target

Network Topology

10.0.1.0/24  Attacker Network
  10.0.1.10  attacker          Floodles, hping3, Scapy, nmap, ntpdc, snmpwalk, tcpdump

10.0.2.0/24  DMZ — Vulnerable Targets (IP masquerade disabled)
  10.0.2.20  apache-vuln       HTTP:80   SYN flood, Slowloris, Slow POST
  10.0.2.30  dns-open          UDP:53    DNS amplification (~60x)
  10.0.2.31  ntp-vuln          UDP:123   NTP monlist (~550x)
  10.0.2.32  snmp-vuln         UDP:161   SNMP GetBulk (~650x)
  10.0.2.40  mysql-vuln        TCP:3306  max_connections=50
  10.0.2.41  postgres-vuln     TCP:5432  max_connections=30
  10.0.2.50  fw-stateless      HTTP:80   ACK/XMAS flood bypass
  10.0.2.51  fw-stateful       HTTP:80   conntrack table overflow

10.0.3.0/24  Protected Targets (IP masquerade disabled)
  10.0.3.20  apache-protected  HTTP:80   mod_reqtimeout + SYN cookies + iptables rate limit
  10.0.3.21  nginx-protected   HTTP:80   event-driven + client_header_timeout + limit_conn

10.0.99.0/24 Management Network
  10.0.99.10 attacker          (also on this subnet)
  10.0.99.20 prometheus        :9090
  10.0.99.21 grafana           :3000     admin / dosarena
  10.0.99.30 judge             :8888     DOSArena Judge API

The DMZ and protected subnets have com.docker.network.bridge.enable_ip_masquerade: "false" — outbound traffic from targets cannot reach the internet, preventing accidental external amplification.


Quick Start — Docker

Requirements

  • Docker 20.10+ and Docker Compose v2 (docker compose, not legacy docker-compose v1)
  • Linux host recommended — NET_RAW capability is required for raw socket attacks (SYN flood, ACK flood, amplification with spoofed source IPs)
  • Minimum 4 GB RAM, 8 GB free disk space
  • GNU make (optional — direct docker compose equivalents documented below)

Docker socket access — either run with sudo, or add your user to the docker group:

sudo usermod -aG docker $USER   # then log out and back in

Deploy

# Build images and start the full lab
make up

# Open attacker shell
make shell

# Check all services are up
make status

Without make:

docker compose -f docker/docker-compose.yml up -d --build
docker compose -f docker/docker-compose.yml exec attacker bash
docker compose -f docker/docker-compose.yml ps
docker compose -f docker/docker-compose.yml down

Web Interfaces

Interface URL Credentials
Judge API http://localhost:8888/status
Grafana http://localhost:3000 admin / dosarena
Prometheus http://localhost:9090

Player Name

Default player name is player1, set in docker/docker-compose.yml:

environment:
  PLAYER_NAME: "yourname"
  JUDGE_URL: "http://10.0.99.30:8888"

Or override at runtime inside the attacker container:

export PLAYER_NAME="yourname"

Inside the Attacker Container

# List all scenarios and their current state
python3 /opt/scenarios/run.py list

# Display full instructions for a scenario
python3 /opt/scenarios/run.py run 01

# Get a hint (costs points)
python3 /opt/ui/cli.py hint 01
python3 /opt/ui/cli.py hint 01 --level 2

# Submit a flag
python3 /opt/ui/cli.py submit 01

# Read full writeup after solving
python3 /opt/ui/cli.py writeup 01

# Scoreboard
python3 /opt/ui/cli.py scoreboard

Floodles — Attack Commands per Scenario

Floodles is the primary attack toolkit pre-installed in the attacker container. Raw socket commands (SYN flood, ACK flood, amplification) require root (sudo) for kernel-level packet crafting.

# 01 — SYN Flood (fills tcp_max_syn_backlog, requires spoofed IPs -> root)
sudo floodles syn 10.0.2.20 80 --duration 30

# 02 — Slowloris (holds worker threads, no root required)
floodles slow 10.0.2.20 80 --duration 60

# 03 — ACK Flood (stateless firewall bypass, requires raw socket -> root)
sudo floodles ack 10.0.2.50 80 --duration 30

# 04 — DNS Amplification (spoofed source -> victim, open resolver as reflector)
sudo floodles dns 10.0.2.30 --target <victim_ip> --duration 30

# 05 — NTP Amplification (monlist mode 7 code 42)
sudo floodles ntp 10.0.2.31 --target <victim_ip> --duration 30

# 06 — SNMP Amplification (GetBulkRequest, community=public)
sudo floodles sniper 10.0.2.32 --target <victim_ip> --duration 30

# 07 — TCP connection starvation (MySQL max_connections=50, no auth needed)
floodles nuke 10.0.2.40 3306 --duration 30

# 08 — Slow POST / RUDY (HTTP body drip, no root required)
floodles slowpost 10.0.2.20 80 --duration 60

Amplification scenarios (04/05/06): The judge confirms the reflector is capable of amplification on every poll, but only issues the flag when an active attack is detected on the reflector (RX PPS > 50). Keep the attack running at the moment of submission.

Run floodles --help or floodles <command> --help for all available options.

Stop the Lab

make down     # Stop containers, keep images
make clean    # Full cleanup including images

Scenarios

# Name Target Technique Difficulty Points
01 SYN Flood — TCP backlog exhaustion 10.0.2.20:80 L4 — SYN flood, spoofed IPs Easy 100
02 Slowloris — HTTP worker pool 10.0.2.20:80 L7 — slow headers Easy 100
03 ACK Bypass — stateless firewall 10.0.2.50:80 L4 — stateless bypass Medium 150
04 DNS Amplification — open resolver 10.0.2.30:53 L3 — DRDoS (~60x) Easy 100
05 NTP Amplification — monlist 10.0.2.31:123 L3 — DRDoS (~550x) Easy 100
06 SNMP Amplification — GetBulk 10.0.2.32:161 L3 — DRDoS (~650x) Medium 150
07 TCP Starvation — MySQL connections 10.0.2.40:3306 L4 — connection table Medium 150
08 Slow POST — RUDY body timeout 10.0.2.20:80 L7 — slow body Hard 200
Total 1,050

Target Vulnerability Configuration

Each vulnerable target has deliberately degraded security controls. The protected counterparts run the same service with defenses enabled — allowing direct comparison under identical attack conditions.

apache-vuln (10.0.2.20)

# Vulnerable configuration
MaxRequestWorkers 150       # Fixed worker pool (no event MPM)
KeepAliveTimeout 0          # No keep-alive timeout
# mod_reqtimeout NOT loaded  <- No header or body read timeout
# Kernel — SYN cookie protection disabled
net.ipv4.tcp_syncookies = 0
net.ipv4.tcp_max_syn_backlog = 8     # Lab value — fills in milliseconds at low PPS
net.core.somaxconn = 8

dns-open (10.0.2.30)

// BIND9 — open recursive resolver
recursion yes;
allow-recursion { any; };    // Answers ANY query from ANY source

ntp-vuln (10.0.2.31)

# NTPd 4.2.6 — monlist not disabled
# disable monitor is absent -> mode 7 MON_GETLIST_1 requests answered

snmp-vuln (10.0.2.32)

# Net-SNMP
rocommunity public          # Default community string, no source ACL
# No view restriction on OID tree

mysql-vuln (10.0.2.40)

-- MySQL 8.0
SET GLOBAL max_connections = 50;  -- Far below default (151)
-- No per-user connection limits
-- No TCP connection rate limiting

fw-stateless (10.0.2.50)

# iptables rules without connection tracking
iptables -A INPUT -p tcp --dport 80 -j ACCEPT   # Passes ALL TCP to port 80
# No -m state, no -m conntrack
# ACK packets without prior SYN pass through

Flag System

Flags are HMAC-SHA256 tokens bound to a time window (default: 5 minutes) and a scenario ID. They are generated the moment the judge confirms degradation and re-generated on every subsequent successful poll:

Format:  DOSARENA{SCENARIO_ID_hmac_truncated_hex}
Example: DOSARENA{01_a3f9c2d18e4b7f3d2c1b}

Submission rules:

  1. The attack must be running at the moment of submission — the judge must have confirmed degradation within the last 5 seconds
  2. Flags expire after the current and previous time windows (up to ~10 minutes grace period)
  3. A correct submission unlocks the full technical writeup immediately
  4. Hints cost points: Level 1 = -10 pts, Level 2 = -25 pts, Level 3 = -50 pts
  5. Each scenario can only be solved once per player

Hint system:

Each scenario has 3 progressive hints:

  • Level 1 — direction nudge, does not reveal the attack type
  • Level 2 — vulnerability class, kernel parameters or config to inspect
  • Level 3 — near-explicit command with tool and parameters

Judge API

Endpoint Method Body / Params Description
/status GET All scenarios, targets, degradation state, active flags
/submit POST {"player", "scenario", "flag"} Flag submission
/hint/<id> GET ?level=1|2|3 Progressive hint for scenario
/writeup/<id> GET Full writeup (always accessible via API)
/scoreboard GET Ranked player list
/health GET Service health check
# Check all targets and current degradation state
curl http://localhost:8888/status | python3 -m json.tool

# Submit a flag
curl -X POST http://localhost:8888/submit \
  -H "Content-Type: application/json" \
  -d '{"player":"yourname","scenario":"01","flag":"DOSARENA{01_...}"}'

# Get hint
curl "http://localhost:8888/hint/01?level=2"

# Scoreboard
curl http://localhost:8888/scoreboard

Quick Start — Terraform AWS

Requirements

  • Terraform 1.x+
  • AWS CLI configured (aws configure) with permissions for VPC, EC2, Security Groups, and Elastic IPs
  • An existing EC2 key pair in the target region
# Create your variables file (do not commit this)
cat > terraform/aws/terraform.tfvars << EOF
key_pair = "your-keypair-name"
your_ip  = "$(curl -s ifconfig.me)/32"
region   = "eu-west-1"
EOF

# Deploy (~5 min)
make tf-init
make tf-apply

# SSH to attacker node
ssh ubuntu@<attacker_ip> -i ~/.ssh/your-keypair.pem

# Tear down when done
make tf-destroy

Estimated AWS cost: ~$0.35/hour with default instance types (t3.medium attacker + t3.small x7 targets).


Monitoring

# Live bandwidth per host (inside attacker container)
iftop -i eth0 -n

# Connection state breakdown
watch -n1 'ss -s'

# SYN-RECV count (SYN flood indicator)
watch -n1 'ss -s | grep SYN-RECV'

# SYN packets only
tcpdump -i eth0 -n 'tcp[tcpflags] & tcp-syn != 0'

# ESTABLISHED connections to port 80 (Slowloris indicator)
watch -n1 'ss -tn dst :80 state established | wc -l'

# Grafana dashboard (host)
open http://localhost:3000   # admin/dosarena

# Judge poll log
docker compose -f docker/docker-compose.yml logs -f judge

Troubleshooting

docker-compose v1 incompatible with Docker 28+

The legacy docker-compose v1 (Python binary) was removed from the Docker Engine API in Docker 28.x. Use Compose v2:

# Ubuntu 24.04
sudo apt-get install docker-compose-v2

# Verify
docker compose version   # should print v2.x

SYN flood sends packets but judge never shows degraded

The host kernel's reverse path filter (rp_filter) drops packets with spoofed source IPs on Docker bridge interfaces. make up disables it automatically. If you started containers without make up, run this on the host:

sudo bash -c 'for i in $(ls /proc/sys/net/ipv4/conf/); do sysctl -w net.ipv4.conf.$i.rp_filter=0; done'

This must be re-applied after every host reboot.

Raw socket attacks fail (SYN flood, ACK flood)

Raw socket attacks require NET_RAW capability. On macOS with Docker Desktop, kernel-level capabilities are restricted. Use a Linux host or a Linux VM.

Judge reports targets unreachable but containers are up

The judge runs on the management network (10.0.99.30). If a container started but its service is not ready yet, wait 5-10 seconds and check /status again:

curl http://localhost:8888/status | python3 -m json.tool

Container exits immediately

docker compose -f docker/docker-compose.yml logs <service-name>

Bibliography

[1] Eddy, W. (2007). TCP SYN Flooding Attacks and Common Mitigations. RFC 4987. IETF.

[2] Mirkovic, J., & Reiher, P. (2004). A taxonomy of DDoS attack and DDoS defense mechanisms. ACM SIGCOMM Computer Communication Review, 34(2), 39-53.

[3] Paxson, V. (2001). An Analysis of Using Reflectors for Distributed Denial-of-Service Attacks. ACM SIGCOMM Computer Communication Review, 31(3), 38-47. — foundational analysis of DRDoS/amplification attacks.

[4] Ferguson, P., & Senie, D. (2000). Network Ingress Filtering: Defeating Denial of Service Attacks which employ IP Source Address Spoofing. RFC 2827. IETF. — BCP 38, the mitigation for spoofed-source attacks.

[5] Hansen, R. (2009). Slowloris HTTP DoS. ha.ckers.org. — original disclosure of the Slowloris technique.

[6] US-CERT Advisory (TA14-013A). (2014). UDP-Based Amplification Attacks. — NTP monlist CVE-2013-5211, SNMP, DNS amplification classification.

[7] Cloudflare. (2023). Understanding SYN floods. Cloudflare Blog. — production-scale analysis of SYN cookie performance.

[8] Linux kernel documentation. net/ipv4/tcp_input.ctcp_conn_request(), SYN backlog and SYN cookie implementation.


License

GNU Affero General Public License v3.0. See LICENSE for details.

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DoS/DDoS training platform with live proof-of-impact scoring — 8 scenarios, 15 containers, flags issued only when your attack is actually working.

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