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Cristian Estan |
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Backtracking Algorithmic Complexity Attacks Against a NIDS
Randy Smith, Cristian Estan, Somesh Jha
UW CS technical report 1561, September 2006
Network Intrusion Detection Systems (NIDS) have become
crucial to securing modern networks. To be effective,
a NIDS must be able to counter evasion attempts and operate
at or near wire-speed. Failure to do so allows malicious
packets to slip through a NIDS undetected. In this paper, we
explore NIDS evasion through algorithmic complexity attacks.
We present a highly effective attack against the Snort
NIDS, and we provide a practical algorithmic solution that
successfully thwarts the attack. This attack exploits the behavior
of rule matching, yielding inspection times that are
up to 1.5 million times slower than that of benign packets.
Our analysis shows that this attack is applicable to many
rules in Snort's ruleset, rendering vulnerable the thousands
of networks protected by it. Our countermeasure confines
the inspection time to within one order of magnitude of benign
packets. Experimental results using a live system show
that an attacker needs only 4.0 kbps of bandwidth to perpetually
disable an unmodified NIDS, whereas all intrusions
are detected when our countermeasure is used.
Paper in PDF.
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