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Firewalls

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(I'm putting out fires every day!) Some systems and/or protocols are ... Each time, hordes of idiots pounce on it and break into every system they can find ... – PowerPoint PPT presentation

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Title: Firewalls


1
Firewalls
2
does 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)

3
when 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!)

4
Who perpetrates most Computer Crime?
Insiders are the biggest threat!
4
5
system 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.)

6
Statistics
  • 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).

7
who 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?
8
Federal Computer Incident Response Center
9
doh!
  • 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

10
publish or perishor, good help is not hard to
find
11
the 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?
12
buffer overflowson the stack
13
buffer 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)
15
securing 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.)
16
firewalls(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)

17
typical firewall setup
evil Internet
DMZ
internal network
Diagram courtesy of CheckPoint Software Tech,
www.checkpoint.com
18
the 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.)

19
firewall 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?

20
Firewall 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
21
Compared 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

22
Application Proxy
  • Changes source address so that responses come to
    proxy from web server
  • Proxy is more secure than internal nodes
  • Performance degradation

23
big 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
24
thoughts 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

25
subverting 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?

26
reconstructing 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)
27
fun 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.
28
more 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
29
trickery
  • 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
30
is 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.

31
the 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?

32
the 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
33
getting 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.

34
applying 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)

35
system 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
36
database in training
37
the 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

38
results
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.)
39
discussion
  • 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)

40
related 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

41
bringing 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

42
another 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
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