Title: Firewalls
1Firewalls
2does security matter?
Would you care if someone could
- Crash your computer every 5 minutes?
- Subtly change your thesis?
- Change your bank statement?
- Sink a ship?
- (Think its unlikely? It happened see NY Times,
vol. CXLIII, page E7 - Oct. 24, 1993)
3when will it matter?
Some systems and/or protocols are designed with
security in mind from the beginning -- maybe even
as their primary design goal. But for most? The
storys the same
- Protocol design? (Nah, thats an application
problem) - Application design? (We plan to add that in the
future...) - Application deployment? (Lets get it running
first) - System administration? (Im putting out fires
every day!)
4Who perpetrates most Computer Crime?
Insiders are the biggest threat!
4
5system vulnerabilities
- Almost all vulnerabilities come from bugs in the
implementation of, or misconfigurations of, the
OS and/or apps - Rarely, a problem with a protocol itself
- Vulnerabilities can lead to
- Unauthorized access attacker gains control of
the victims machine (attacker can log in, read
files, and/or make changes to the system) - Denial of Service against host (attacker can
crash the computer, disable services, etc.) - Denial of Service against network (attack can
disrupt routing, flood the network, etc.)
6Statistics
- 2000 CSI/FBI Computer Crime and Security Survey
- 90 of respondents (primarily large corporations
and government agencies) detected computer
security breaches within the last twelve months. - 70 reported a variety of serious computer
security breaches other than the most common ones
of computer viruses, laptop theft or employee
"net abuse"--for example, theft of proprietary
information, financial fraud, system penetration
from outsiders, denial of service attacks and
sabotage of data or networks. - 74 acknowledged financial losses due to computer
breaches. - 42 were willing and/or able to quantify their
financial losses. The losses from these 273
respondents totaled 265,589,940 (the average
annual total over the last three years was
120,240,180).
7who is the enemy?
- The Troubled Genius
- Has a deep understanding of systems
- Capable of finding obscure vulnerabilities in
OSs, apps, and protocols, and exploiting them - Extremely skilled at evading countermeasures
- Can dynamically adapt to new environments
- The Idiot
- Little or no true understanding of systems
- Blindly downloads runs code written by T.G.
- Can usually be stopped by calling his mother
Who do you think causes more damage?
8Federal Computer Incident Response Center
9doh!
- The idiots collectively cause more damage because
there are a vast number of them - Every security incident analyzed at NIH was the
work of an idiot - Every time smart hackers find a new security
hole, they make it public -- they have a publish
or perish ethic - Each time, hordes of idiots pounce on it and
break into every system they can find
10publish or perishor, good help is not hard to
find
11the never-ending game
- 1. New bugs are found exploits are published
- 2. Hordes of idiots cause damage using those
exploits - 3. Vendors are pressured to come out with fixes
- 4. Users install the fixes (sometimes? rarely?)
- 5. Go to step 1.
The big questions are
1. How can we protect a large site? (The site is
only as strong as its most poorly administered
machine.) 2. How can we pro-actively protect
against attacks that we have never seen before,
to avoid Step 2 damage?
12buffer overflowson the stack
13buffer overflowson the stack
Attacker is supplying input to buf so buf gets a
very carefully constructed string containing
assembly code, and overwriting func 2s address
with bufs address. When func3 returns, it will
branch to buf instead of func2.
14(No Transcript)
15securing your systemthe quick easy way
Its easy to run a secure computer system. You
just have to disconnect all dial-up connections
and permit only direct-wired terminals, put the
machine and its terminals in a shielded room, and
post a guard at the door.
F.T. Grampp and R.H. Morris
(Great! Lets go to the router room with some
bolt cutters.)
16firewalls(not as good as bolt cutters, but)
- Routers easy to say allow everything but
- Firewalls easy to say allow nothing but
- This helps because we turn off access to
everything, then evaluate which services are
mission-critical and have well-understood risks - Note the only difference between a router and a
firewall is the design philosophy do we
prioritize security, or connectivity/performance?
(configurability, logging)
17typical firewall setup
evil Internet
DMZ
internal network
Diagram courtesy of CheckPoint Software Tech,
www.checkpoint.com
18the firewall setup
- Firewall ensures that the internal network and
the Internet can both talk to the DMZ, but
usually not to each other - The DMZ relays services at the application level,
e.g. mail forwarding, web proxying - The DMZ machines and firewall are centrally
administered by people focused on security
full-time (installing patches, etc.) its easier
to secure 20 machines than 20,000 - Now the internal network is safe (but not from
internal attacks, modems, etc.)
19firewall politics
- In a corporate environment, firewalls are great.
The network user is an employee of the network
service provider its in the providers power to
say Thou Shalt Not Use Any Internet Services
Except For These... - How well do you think that would work here?
20Firewall Details
- Rules based on
- IP Source Address
- IP Destination Address
- Encapsulated Protocol
- TCP/UDP destination port
- TCP/UDP source port
TCP DPort TCP SPort TCP Hdr
Eth Dest Eth Src Eth Hdr
IP Dest IP Src IP Hdr
Data
21Compared to Proxy
- Pros
- Good Performance
- Easy to support new protocols
- Cons
- IP TCP/UDP headers cant be trusted
- Most attacks spoof IP TCP/UCP ports
- Must look at other application signatures
22Application Proxy
- Changes source address so that responses come to
proxy from web server - Proxy is more secure than internal nodes
- Performance degradation
23big brother is watching
- Bro passively monitors the network at some key
location (say, the border router) - Reconstructs flows and searches for known attack
signatures -- a manually created database, based
on known network attacks - Provides real-time notification of security
personnel when it sees something suspicious - Future versions may actively terminate
connections by sending forged TCP RST
ftp//ftp.ee.lbl.gov/papers/bro-usenix98-revised.p
s.Z
24thoughts on bro
- It provides a nice site-wide view of security
- Its not disruptive to users
- Its centrally administered
- Unlike a firewall, which stops badness before it
starts, bros alarm may come too late - It cant flag attacks that are not in its
database of known attack signatures - It can not reliably determine what an end-station
is seeing, for a variety of reasons
25subverting bro(well start with the easy ones)
- Lets say were trying to scan for the string su
root. - What if I type su meHHroot?
- What if I type sulttelnet optiongt root?
- What if I type alias blammo su, then type
blammo root?
26reconstructing flows
- Lets say you want to search for the text USER
root. Is it enough to just search the data
portion of TCP segments you see?
USER root
(Uh oh we have to reassemble frags and
resequence segs)
27fun with fragments
Imagine an attacker sends
1.
2.
3. 1,000,000 unrelated fragments
4.
5.
Think of the entire campus as being a massively
parallel computer. That supercomputer is solving
the flow-reconstruction problem. Now were asking
a single host to try to solve that same problem.
28more fragment fun
Imagine an attacker sends
Seq.
1.
Time
2.
3a.
3b.
4.
Should we consider 3a part of the data stream
USER root? Or is 3b part of the data stream?
USER foot! -- If the OS makes a different
decision than the monitor Bad. -- Even worse
Different OSs have different protocol
interpretations, so its impossible for Bro to
agree with all of them
29trickery
- Non-standard parts of standards
- IP fragment overlap behavior
- TCP sequence number overlap behavior
- Invalid combinations of TCP options
- Other ways to force a disparity between the
monitor and the end-station - TTL
- Checksum
- Overflowing monitor buffers
See http//www.secnet.com/papers/ids-html/ for
detailed examples
30is bro useless?
- Of course not.
- Remember, most of the problems are caused by
idiots they dont know how to subvert bro and
the techniques cant be pre-packaged easily. - It doesnt cost us anything.
- Just because the monitor can be subverted doesnt
mean we cant use it. Using it doesnt mean we
are making a tradeoff, so why not? - There is no silver bullet.
- Dont expect any system to single-handedly
solve the security problem. Take what you can
get.
31the reverse approach
- Systems like Bro define bad -- anything they
dont recognize, therefore, is assumed to be
good. - Problem Your bad list is always out of date
- Other systems attempt to define good --
anything they dont recognize is bad - Now, new badness is automatically caught!
- Problem How do you define good?
32the immune system
- Stephanie Forrest et al were inspired by
biological immune systems. - A biological immune system doesnt have a catalog
of all viruses that exist in the world - They have a strong sense of self, allowing them
to identify and attack non-self entities - Is the same thing possible on the computer?
- Motivation UNIX processes there is a well-known
and easy technique for getting almost any buggy
program to execute arbitrary code by just sending
it carefully!
http//www.cs.unm.edu/steveah/research.html
33getting to know yourself
- 1. Find a metric that characterizes the system.
- 2. Build up a database of normal values for that
metric when the system is working as it should. - 3. Continually monitor the metric set off an
alarm if it deviates from the database. - 4. Test the metric for false positives/negatives.
34applying the method
- First target application sendmail (infamous for
many security holes) - First metric system call traces
- Normal database to be built up by recording
sendmails behavior in a wide variety of everyday
tasks (many types of messages)
35system call traces
Sample call sequence open, read, mmap, mmap,
open, getrlimit, mmap, close
read mmap mmap open
mmap mmap, open, getrlimit, open, getrlimit
mmap close getrlimit mmap close close
36database in training
37the normal database
- Using a window size of 6, running sendmail
through its paces produced a database of only
1500 entries and was stable! - This is only 5x10-5 of all possible entries
- The small size of the database is critical
- Big database variability in normal
difficulty in detecting anomalies - Big database no realtime monitoring
38results
Anomaly Num sunsendmailcp 4.1 95 syslog remo
te 1 4.2 470 remote 2 1.5 137 local
1 4.2 398 local 2 3.4 309 decode 0.3 24 lprcp
1.4 12 sm565a 0.4 36 sm5x 1.7 157 forward
loop 1.8 58
(sm565a and sm5x were unsuccessful attacks
forward loop was nonmalicious anomalous behavior
others were successful breakins.)
39discussion
- Programs seem to exhibit remarkable amounts of
find-grained consistency when operating normally
this can be used to detect anomalies. - Since we now know whats good, we can report
badness that we have never seen before - Will not help to do things like determine that a
user has stolen another users password - A solution for one host, not an entire site
- Current system runs off-line (on-line planned)
40related work
- Various expert systems for analyzing logs
- Systems remain vigilant even given megs of log
data every day, where humans throw away data - NIDES (ftp//ftp.csl.sri.com/nides)
- Defines a set of events (e.g. directory
modification, password file access, etc.) - Complex statistical algos for reporting anomalies
while still adaptively learning new user behavior - Keystroke Dynamics - knows how users type
41bringing it all together
- Bro is powerful in that it can monitor an entire
site, but weak in that it cant predict what
future attack profiles will look like - Forrests work, and other systems mentioned, all
suggest you can do well by adaptively learning
normal and reporting deviations - Forrests work shows that surprisingly high-level
characteristics of a system can become evident by
looking at events on an extremely low level, fine
grain, and small time scale
42another idea
- Based on motivations mentioned in the previous
slide, a new type of network intrusion detector - Monitors network traffic at the packet level
- Creates per-flow packet traces similar to system
call traces (e.g. SYN -gt SYNACK -gt ACK ACK -gt
DATA -gt ACK) - Uses various other metrics (e.g. of total
traffic that is SYN, ACK, RST ratio of ACKs to
data packet size distribution distribution of
source and destination port numbers) - Adaptively learns what is normal for both
traces and other metrics reports abnormalities