PineApp OSG IPv6 The Battle Against Botnet

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IPv IPv6 IPv IPv6 6 The Battle Against Botnet The Battle Against Botnet The Battle Against Botnet The Battle Against Botnet

description

With global broadband penetration rates increasing, and smart phone technologies becoming more accessible, the burden on ISPs and Telcos to provide reliable, efficient internet services is more complex and necessary than ever before. With this increased burden, Service Providers are facing serious challenges from malicious and organized networks of computers called botnets. Botnets operate within a network, using a Service Provider’s infrastructure to distribute massive quantities of spam. Botnets are responsible for the distribution of up to 90% of the world’s spam and strike at a Service Provider’s core business assets: IP addresses and bandwidth. The PineApp OSG is a carrier-grade solution that can be easily deployed to scan and block up to 99% of all unwanted or malicious outbound email traffic. Easy to deploy, the OSG functions as a transparent proxy that informs the Service Provider, in real time and with granular level statistics, about which IP addresses within their networks are being controlled by botnets.

Transcript of PineApp OSG IPv6 The Battle Against Botnet

Page 1: PineApp OSG  IPv6 The Battle Against Botnet

IPvIPv66IPvIPv6 6 The Battle Against BotnetThe Battle Against BotnetThe Battle Against BotnetThe Battle Against Botnet

Page 2: PineApp OSG  IPv6 The Battle Against Botnet

World Population Vs IP Nodes Worldwide

50

60Ip NodesMondial Population

40

50

Almost 1000% 

30

grow of IP hosts! Conservative estimations

20 2008 – More Ip’snodes than world 

population

10

+/‐ 26% grow of the world population

02003 2010 2015 2020

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Migration Migration toto IPvIPv6 6 IncentivesIncentives..

• Need for more address space( h ti f IP 4 S )(exhaustion of IPv4 Space)

• Government mandate

• Mobile communication and 4G

• Population growth in APAC

• More appropriate model for emerging servicesMore appropriate model for emerging services

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Spam Latest World NumbersSpam Latest World Numbers

• The percentage of global spam –November 2011

*Securelist Kaspersky

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More IP Space MeansMore IP Space Means

• More available sources of spamming

• More available spamming targets

M t k f• More space to mask sources of spam

• More overall spam!p

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Botnet and SPAM mechanismBotnet and SPAM mechanism

• Botnet deploy on malware and worms.

ll d h h• Botnet are usually activated through IRC, HTTP or P2P protocols for DDoS and SPAM

• Botnet are spreading SPAM using SMTP

All the mechanisms are application layers!

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Botnet Vs Host Vs SPAMBotnet Vs Host Vs SPAM

Date created Date dismantled Name Estimated no. of bots Spam capacity Aliases

1999 !a 999,999,999 100000 !a

2009 (May) 2010‐Oct (partial) BredoLab 30,000,00030,000,000[20] 3.6 billion/day Oficla

2008 (around) 2009 Dec Mariposa 12 000 000[21] 0 ?2008 (around) 2009‐Dec Mariposa 12,000,000[21] 0 ?

0? Conficker 10,500,000+[22] 10 billion/dayDownUp, DownAndUp, DownAdUp, Kido

20 0 ( d) 00 000[23] 0 ? SS l2010 (around) TDL4 4,500,000[23] 0 ? TDSS, Alureon

0? Zeus 3,600,000 (US Only)[24] ‐1n/aZbot, PRG, Wsnpoem, Gorhax, Kneber

2007 (Around) Cutwail 1,500,000[25] 74 billion/dayPandex, Mutant (related to: Wigon, Pushdo)

2008 (Around) Sality 1,000,000[26] ? Sector, Kuku

0? Grum 560,000[27] 39.9 billion/day Tedroo

0? Mega‐D 509,000[28] 10 billion/day Ozdok

0? Kraken 495,000[29] 9 billion/day Kracken

2007 (March) Srizbi 450,000[30] 60 billion/day Cbeplay, Exchanger

http://en.wikipedia.org/wiki/Botnet

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Impact Impact of SPAM on of SPAM on IPvIPv4 4 Hosts and SPHosts and SP

• Exposition of Hosts to criminal content• Exposition of Hosts to criminal content

• Exposition of SP to complain from customers

• Black listing systems usage prevent from users to communicate through SMTP

• Overhead of administration for SP to delist networks

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Traditional IPvTraditional IPv4 4 prevention systemsprevention systems

b d f l b dInbound SPAM filtering based on:

• IP RBLIP RBL

• IP reputation

• SMTP analysis

• SignaturesSignatures

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IPvIPv4 4 Filter EfficiencyFilter EfficiencyStatistic base on empiric info from global install base

8.5%

62.0%

29.5%

DNS RBL

IP Rep

A L lApp Level

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Add b d filtAdd b d filtAddress based filterAddress based filter

• With time the most effective filter toolWith time the most effective filter tool

• RBL and IP reputation list block 90% of SPAM

BUTBUT• Not yet clear plan of migration to IPV6 scale ip• Not yet clear plan of migration to IPV6 scale ipreputation lists

l d l f ffi i f hi ki d f li• Not clear model of efficiency of this kind of list on IPV6 addressing model

• Not yet a clear practice of IP distribution model ‐Black Listing not yet possible

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SMTP Model.SMTP Model.

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End User

SMTP Filtering SMTP Filtering ModelModel

End User

Email FingerprintSpoofing HeuristicValid MXAnti DHA

Grey List BounceMail

AntiZ bi

DOESTarpitting

IPFilters

Mail Zombie

IP REPRBL

Incoming mail

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Impact of IPvImpact of IPv6 6 on SPAMon SPAM

Th h dd d i d i d ill id dThe huge address space and growing devices connected, will provide andalmost unlimited space for Spammer to operate! 

IP b d t ti t ’t b l bl t 2^128 ddIP based reputation system won’t be scalable to 2^128 address space.On IPv4 we reach 4.3B entry database

The address space assignation for users (/48 or /64) will permit SPAM mechanismThe address space assignation for users (/48 or /64) will permit SPAM mechanism to virtually never use the same address twice.

All the well known mechanisms of SPAM will remain effective – The applicationAll the well known mechanisms of SPAM will remain effective  The application layer in IPV6 is the same than IPV4

Growing of Hosts infected will permit creation of so huge DoS that DataGrowing of Hosts infected will permit creation of so huge DoS that Data inspection based system will overload.

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What About The What About The Transition Transition Period ?Period ?

Migration to IPv6 will take time. Meanwhile we will have several model of dual stack network or tunneling solutions

• Transition period will be optimal for SPAM• Transition period will be optimal for SPAM

• Most network operators will focus energy on migration – not on SPAM battle.

• Dual stack and/or tunneling models will / gmasquerade the originator of SPAM

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Mail Mail Services Services and IPvand IPv66

• Most of the SMTP services will remain IPv4 for the foreseeable future

• Need for Dual stack or IPv4 dedicated relay

l k l f l ll ff l f d• Black listing for a relay will affect a lot of end users

• DNS BL cache won’t be able to scale to the V6 sizesize

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IPvIPv4 4 Exhaustion ImplicationsExhaustion Implications

• Many provider will have a transition period based on IPv4 solution

• NAT 44 may permit to provider to consider later the move to IPv6later the move to IPv6

• Masking number of user with one public IP is also masking the real source of SPAM

• Black list will again affect a lot of users• Black list will again affect a lot of users 

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SPAM Battle SPAM Battle for the for the Next YearsNext Years

• Preventing SPAM on the connection level will be, more than ever, the best way to , , yprevent SPAM

• Anti spam systems that operate on the• Anti‐spam systems that operate on the application protocol and transport layer will remain the most effective solutions

•• AwarenessAwareness of customersof customers: Anti virus, P2PAwareness Awareness of customersof customers: Anti virus, P2P protection, dedicated anti‐spam software