4th Edition: Chapter 1
Download
Report
Transcript 4th Edition: Chapter 1
Deficiencies in Networks
Anonymity
Lack of Access Control
Anything can be forged
Shared medium
Crowded
Unpredictable
Complexity
Difficult to comprehend
Difficult to do right
Large Network
Implication of Those Deficiencies
Criminals have found the Internet
FTC Report 2007
• $1.2 billion in fraud
• 1/3 Identity Theft
• 64% initiated through Net
Border Protection
• $200 Million IP theft
Stealth Worms
•
•
•
•
Outbreaks rare since 2004
Botnets growing to huge size
Increase in spam
DOS to Georgia
Actual Fraud Complaints 05-07
Confiscated IP
Network Security
The field of network security is about:
how bad guys can attack computer networks
how we can defend networks against attacks
how to design architectures that are immune to
attacks
Internet not originally designed with
(much) security in mind
original vision: “a group of mutually trusting
users attached to a transparent network”
Internet protocol designers playing “catch-up”
Security considerations in all layers!
Introduction
1-7
Bad guys can put malware into
hosts via Internet
Malware can get in host from a virus, worm, or
trojan horse.
Spyware malware can record keystrokes, web
sites visited, upload info to collection site.
Infected host can be enrolled in a botnet, used
for spam and DDoS attacks.
Malware is often self-replicating: from an
infected host, seeks entry into other hosts
Introduction
1-8
Bad guys can put malware into
hosts via Internet
Trojan horse
Hidden part of some
otherwise useful
software
Today often on a Web
page (Active-X, plugin)
Virus
infection by receiving
object (e.g., e-mail
attachment), actively
executing
self-replicating:
propagate itself to
other hosts, users
Worm:
infection by passively
receiving object that gets
itself executed
self- replicating: propagates
to other hosts, users
Sapphire Worm: aggregate scans/sec
in first 5 minutes of outbreak (CAIDA, UWisc data)
Introduction
1-9
Viruses
Executed by user or app
Inserts into code
In empty regions of app
Redirects app start instructions
Effect
Mischief
Spyware
Spread
Locally
As used
Init
Code
Trojans
Already Exists in Code
Does not propagate
Effect
Mischief
Spyware
Anything
Worms
Self Replicating
Exploit vulnerabilities
Effect
Cause High Net Traffic
Mischief/Spyware
Spread
Over Networks
Actively
Polymorphic
Code Red Propagation
Sapphire Worm Propagation
Backdoor
Adding illicit access to a host
Remotely
• Creating a server
• Adding User with remote access
Locally
• Bury alternative access in code
Hybrid Bugs
Bugs are people too!
What about Anti-virus?
Can only match known signatures
Fine if there is a match
Not so fine if there isn’t
• Zero-day attack
– (a bit presumptuous term)
• Unknown attack
Some bugs disable anti-virus
Bad guys can attack servers and
network infrastructure
Denial of service (DoS): attackers make resources
(server, bandwidth) unavailable to legitimate traffic
by overwhelming resource with bogus traffic
1.
select target
2. break into hosts
around the network
(see botnet)
3. send packets toward
target from
compromised hosts
target
Introduction
1-18
Denial of Service
Denial of Service
Typically one source
Utilizes weaknesses in App or Proto to bring
services down
Distributed Denial of Service
Many hosts attacking a small network
Indistinguishable from certain network
phenomena (Flash Crowds).
Syn Flood
Server
SYN
TCP Session
TCP Session
TCP Session
TCP Session
TCP Session
TCP Session
TCP Session
Ping of Death (POD)
Feed the target more than he can handle
Host Chokes
The bad guys can sniff packets
Packet sniffing:
broadcast media (shared Ethernet, wireless)
promiscuous network interface reads/records all
packets (e.g., including passwords!) passing by
C
A
src:B dest:A
payload
B
Wireshark software used for end-of-chapter
labs is a (free) packet-sniffer
Introduction
1-23
The bad guys can use false source
addresses
IP spoofing: send packet with false source address
C
A
src:B dest:A
payload
B
Introduction
1-25
The bad guys can record and
playback
record-and-playback: sniff sensitive info (e.g.,
password), and use later
password holder is that user from system point of
view
A
C
src:B dest:A
user: B; password: foo
B
Introduction
1-26
Network Security
more throughout this course
chapter 8: focus on security
crypographic techniques: obvious uses and
not so obvious uses
Introduction
1-27
Sources
Federal Trade Commission, Consumer
Fraud and Identity Theft Complaint Data:
January-December 2007, 2008.
Department of Justice, Report to the
President and Congress on Coordination of
Intellectual Property Enforcement and
Protection, January 2008