Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Building an automated DDoS mitigation pipeline
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
majek04
January 23, 2016
Programming
1.3k
5
Share
Building an automated DDoS mitigation pipeline
majek04
January 23, 2016
More Decks by majek04
See All by majek04
Keeloq_AD_2025__1_.pdf
majek04
0
29
BPF programmable socket lookup
majek04
0
670
Linux at Cloudflare
majek04
3
8.7k
DDoS Landscape
majek04
0
430
Inside Cloudbleed
majek04
3
2.9k
Golang sucks
majek04
21
53k
Gatelogic - Somewhat functional reactive framework in Python
majek04
1
5.2k
How Cloudflare deals with largest DDoS attacks?
majek04
2
3.5k
Why we chose Service Worker API
majek04
0
2.8k
Other Decks in Programming
See All in Programming
実践ハーネスエンジニアリング #MOSHTech
kajitack
7
5.1k
脱 雰囲気実装!AgentCoreを良い感じにWEBアプリケーションに組み込むために
takuyay0ne
3
420
ネイティブアプリとWebフロントエンドのAPI通信ラッパーにおける共通化の勘所
suguruooki
0
230
ローカルで稼働するAI エージェントを超えて / beyond-local-ai-agents
gawa
1
200
AI 開発合宿を通して得た学び
niftycorp
PRO
0
180
生成 AI 時代のスナップショットテストってやつを見せてあげますよ(α版)
ojun9
0
320
Claude Codeログ基盤の構築
giginet
PRO
7
3.8k
仕様漏れ実装漏れをなくすトレーサビリティAI基盤のご紹介
orgachem
PRO
8
3.7k
Cyrius ーLinux非依存にコンテナをネイティブ実行する専用OSー
n4mlz
0
260
Redox OS でのネームスペース管理と chroot の実現
isanethen
0
480
今からFlash開発できるわけないじゃん、ムリムリ! (※ムリじゃなかった!?)
arkw
0
170
AIコードレビューの導入・運用と AI駆動開発における「AI4QA」の取り組みについて
hagevvashi
0
580
Featured
See All Featured
How to Think Like a Performance Engineer
csswizardry
28
2.5k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
4.2k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
10k
Taking LLMs out of the black box: A practical guide to human-in-the-loop distillation
inesmontani
PRO
3
2.1k
State of Search Keynote: SEO is Dead Long Live SEO
ryanjones
0
170
DBのスキルで生き残る技術 - AI時代におけるテーブル設計の勘所
soudai
PRO
64
53k
Git: the NoSQL Database
bkeepers
PRO
432
67k
Digital Ethics as a Driver of Design Innovation
axbom
PRO
1
250
Design of three-dimensional binary manipulators for pick-and-place task avoiding obstacles (IECON2024)
konakalab
0
390
Measuring & Analyzing Core Web Vitals
bluesmoon
9
800
YesSQL, Process and Tooling at Scale
rocio
174
15k
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
55
3.3k
Transcript
Building an automated DDoS Mitigation Pipeline Marek Majkowski
2 "Help Build a Better Internet"
Content neutral 3
DDoS is a threat 4
5 Malicious Attacker Internet Provider Origin Server CloudFlare Server trust
& safety team w orking w ith operators public outreach Big effort im proving our infrastructure
6 Automated DDoS Mitigations Malicious Attacker Internet Provider Origin Server
CloudFlare Server autom ating m itigations
7 attack volume CloudFlare network capacity >
BGP Nullroute and move on 8 ! route 1.2.3.4/32 {!
discard;! community [ 13335:666 13335:668 13335:36006 ];! }!
attack volume CloudFlare network capacity < 9
10 BGP Nullrouting Router firewall Server firewall Application Less damage
Reducing damage
11 BGP Nullrouting IP Router firewall IP, port, packet length
Server firewall all above + stateless DPI parameters Application all above + application logic More precision Reducing damage
12 Operator Precision Speed
13
14 Automation Precision Speed
15 Gatebot Precision Speed Automatic attack handling
Attack Detection Automatic attack handling 16 Mitigation Reactive Automation
The attack 17
High volume packet floods 18 Packets per second
DNS packet flood 19 ! $ tcpdump -ni eth2 inbound
and port 53 -c 100! ! IP 202.194.181.95.15443 > 1.2.3.4:53: 63476% [1au] A? example.com. (50)! IP 221.12.236.115.6570 > 1.2.3.4:53: 11406% [1au] A? example.com. (50)! IP 203.94.134.43.18473 > 1.2.3.4:53: 8559% [1au] A? example.com. (50)! IP 203.196.66.75.32573 > 1.2.3.4:53: 47971% [1au] A? example.com. (50)! IP 124.240.198.136.2333 > 1.2.3.4:53: 61152% [1au] A? example.com. (50)! IP 218.247.70.185.11679 > 1.2.3.4:53: 16360% [1au] A? example.com. (50)! IP 202.109.218.98.27549 > 1.2.3.4:53: 17829% [1au] A? example.com. (50)! IP 203.148.240.82.21825 > 1.2.3.4:53: 22590% [1au] A? example.com. (50)! IP 211.167.108.67.25782 > 1.2.3.4:53: 17663% [1au] A? example.com. (50)! IP 203.209.60.18.20221 > 1.2.3.4:53: 38257% [1au] A? example.com. (50)! IP 203.81.181.168.12749 > 1.2.3.4:53: 53492% [1au] A? example.com. (50)!
1 in 10k packets is "real" 20
Finding attack parameters 21 ! IP 202.194.181.95.15443 > 1.2.3.4:53: 63476%
[1au] A? example.com. (50)! IP 221.12.236.115.6570 > 1.2.3.4:53: 11406% [1au] A? example.com. (50)! IP 203.94.134.43.18473 > 1.2.3.4:53: 8559% [1au] A? example.com. (50)! IP 203.196.66.75.32573 > 1.2.3.4:53: 47971% [1au] A? example.com. (50)! IP 124.240.198.136.2336 > 1.2.3.4:53: 61152% [1au] A? example.com. (50)! IP 218.247.70.185.11679 > 1.2.3.4:53: 16360% [1au] A? example.com. (50)! IP 202.109.218.98.27549 > 1.2.3.4:53: 17829% [1au] A? example.com. (50)! IP 203.148.240.82.21825 > 1.2.3.4:53: 22590% [1au] A? example.com. (50)! IP 211.167.108.67.25782 > 1.2.3.4:53: 17663% [1au] A? example.com. (50)! IP 203.209.60.18.20221 > 1.2.3.4:53: 38257% [1au] A? example.com. (50)! IP 203.81.181.168.12749 > 1.2.3.4:53: 53492% [1au] A? example.com. (50)!
Mitigation 22 Mitigation Operator
Where to DROP? 23 Application iptables Router
Traffic matching with BPF 24 ! iptables -A INPUT \!
--dst 1.2.3.4 \! -p udp --dport 53 \! -m bpf --bytecode "14,0 0 0 20,177 0 0 0,12 0 0 0,7 0 0 0,64 0 0 0,21 0 7 124090465,64 0 0 4,21 0 5 1836084325,64 0 0 8,21 0 3 56848237,80 0 0 12,21 0 1 0,6 0 0 1,6 0 0 0" \! -j DROP!
25 ! ldx 4*([14]&0xf)! ld #34! add x! tax! lb_0:!
ldb [x + 0]! add x! add #1! tax! ld [x + 0]! jneq #0x07657861, lb_1! ld [x + 4]! jneq #0x6d706c65, lb_1! ld [x + 8]! jneq #0x03636f6d, lb_1! ldb [x + 12]! jneq #0x00, lb_1! ret #1! lb_1:! ret #0! BPF bytecode
26
Deployment 27 iptables Mitigation Database
Mitigation database 28 ! $ gatekeeper dnsbpf list! --ip=1.2.3.4 *.example.com!
--ip=4.3.2.1 www.test.de *.www.test.de! --ip=4.3.4.4 *.cloudflare.com --except=www.** --except=ns1.**! --ip=2.3.1.4 www.onedomain.com,wwww.seconddomain.com! --ip=1.2.3.0/24 test.com! ! $ gatekeeper dnsbpf add -- --ip=4.3.2.1 *.newattack.com!
Detection 29 Attack Detection
Sflow 30 Sflow Central Aggregation
What is an "attack"? 31
"Attack" is large 32 Large attacks Small attacks Packets per
second
33 Attacks Mitigation "Attack" can be mitigated Attack Detection Mitigation
Database Attack Description = Mitigation 33 iptables Sflow
34 ! Mpps Descr! 3.878 --ip=141.245.59.191/32! 2.878 --ip=141.245.59.192/32! 1.878 --ip=141.245.59.193/32!
1.878 --ip=141.245.59.194/32! 1.878 --ip=141.245.59.195/32! 1.878 --ip=141.245.59.196/32! 1.878 --ip=141.245.59.197/32! 1.878 --ip=141.245.59.198/32! 1.878 --ip=141.245.59.199/32! ...! ! Mpps Descr! 35.878 --ip=141.245.59.0/24! vs "Attacks" shall be aggregated
35 An attack-finding algorithm
Top N / Heavy hitters • Fixed memory size; Algorithm:
Space Saving • https://github.com/cloudflare/golibs 36 pps IP 12.2M 1.2.3.4 2.4M 42.1.2.4 0.01M 2.4.3.1 0.01M 192.168.1.1
Multiple dimensions 37 pps IP:port 12.2M 1.2.3.4:53 2.4M 42.1.2.4:80 0.01M
2.4.3.1:80 0.01M 192.168.1.1:443 pps IP 12.2M 1.2.3.4 2.4M 42.1.2.4 0.01M 2.4.3.1 0.01M 192.168.1.1 pps subnet 12.2M 1.2.3.0/24 2.4M 42.1.2.0/24 0.01M 2.4.3.0/24 0.01M 192.168.1.0/24
Multiple dimensions 38 pps IP:port 12.2M 1.2.3.4:53 2.4M 42.1.2.4:80 0.01M
2.4.3.1:80 0.01M 192.168.1.1:443 pps IP 12.2M 1.2.3.4 2.4M 42.1.2.4 0.01M 2.4.3.1 0.01M 192.168.1.1 pps subnet 12.2M 1.2.3.0/24 2.4M 42.1.2.0/24 0.01M 2.4.3.0/24 0.01M 192.168.1.0/24 incoming sample: 42.1.2.4:80
Multiple dimensions 39 pps IP:port 12.2M 1.2.3.4:53 2.4M 42.1.2.4:80 0.01M
2.4.3.1:80 0.01M 192.168.1.1:443 pps IP 12.2M 1.2.3.4 2.4M 42.1.2.4 0.01M 2.4.3.1 0.01M 192.168.1.1 pps subnet 12.2M 1.2.3.0/24 2.4M 42.1.2.0/24 0.01M 2.4.3.0/24 0.01M 192.168.1.0/24 reporting threshold: 1M
Attack report 40 ! Mpps Descr! 12.2 --ip=1.2.3.4 --port=53! 2.4
--ip=42.1.2.4 --port=80! 12.2 --ip=1.2.3.4! 2.4 --ip=42.1.2.4! 12.2 --ip=1.2.3.0/24! 2.4 --ip=42.1.2.0/24!
Multiple dimensions 41 pps IP:port 12.2M 1.2.3.4:53 2.4M 42.1.2.4:80 0.01M
2.4.3.1:80 0.01M 192.168.1.1:443 pps IP 0.1M 1.2.3.4 0M 42.1.2.4 0.01M 2.4.3.1 0.01M 192.168.1.1 pps subnet 0.1M 1.2.3.0/24 0M 42.1.2.0/24 0.01M 2.4.3.0/24 0.01M 192.168.1.0/24 incoming sample: 42.1.2.4:80
Attack report 42 ! Mpps Descr! 12.2 --ip=1.2.3.4 --port=53! 2.4
--ip=42.1.2.4 --port=80!
Scales well 43
Reactive automation 44 Reactive Automation
Connecting the pieces 45 sflow iptables Attack Detection Mitigation Database
?
46 ! --ip=1.2.3.4 example.com! ! --ip=1.2.3.4 example.com --qps=100! Reactive Rule
47 ! --ip=1.2.3.4 example.com --qps=500! ! example.com = FREE |
PAID! Reactive Rule ! --ip=1.2.3.4 example.com!
48 ! --ip=1.2.3.4 example.com --except www,n1,ns2 --qps=500! Reactive Rule !
example.com subdomains:! (www, ns1, ns2)! ! --ip=1.2.3.4 example.com! ! example.com = FREE | PAID!
49 Input Steam extra stream extra stream Output Stream Reactive
Rule
Chain of transformations 50 ! def dns_mitigation(attack, plan, subdomains):! domain
= attack['domain']! ! qps = 100! if plan[domain] == 'business':! qps = 500! ! mitigation =! attack['description'] + \! ' --qps=%s' % qps + \! ' --except=%s'.join(subdomains[domain])! ! return mitigation!
Fully composable 51
Putting it all together 52
Putting it all together 53 Mitigation Database sflow iptables Attack
Detection Reactive Automation 53
Gatebot: frequency 54 Gatebot actions per day 3 months
Gatebot: volume 55 1 week
Summary 56
The fight goes on 57 Malicious Attacker Internet Provider Origin
Server CloudFlare Server trust & safety team w orking w ith operators public outreach im proving our infrastructure
! ! • https://blog.cloudflare.com • https://github.com/cloudflare 58 marek@cloudflare.com @majek04 Thanks!
and good luck! @cfgatebot