Timing Analysis of Keystrokes and Timing Attacks on SSH (fwd)
-- Eugen* Leitl <a href="http://www.lrz.de/~ui22204/">leitl</a> ______________________________________________________________ ICBMTO : N48 10'07'' E011 33'53'' http://www.lrz.de/~ui22204 57F9CFD3: ED90 0433 EB74 E4A9 537F CFF5 86E7 629B 57F9 CFD3 ---------- Forwarded message ---------- Date: 22 Aug 2001 11:37:39 -0400 From: Perry E. Metzger <perry@piermont.com> To: cryptography@wasabisystems.com Subject: Timing Analysis of Keystrokes and Timing Attacks on SSH What I find really neat here is that up until now, serious traffic analysis has been fairly neglected in the open crypto community. Is this the start of things to come? ------- Start of forwarded message ------- Date: Wed, 22 Aug 2001 08:53:30 -0600 From: aleph1@securityfocus.com To: secpapers@securityfocus.com Cc: secureshell@securityfocus.com Subject: Timing Analysis of Keystrokes and Timing Attacks on SSH Message-ID: <20010822085330.J3366@securityfocus.com> Mime-Version: 1.0 Content-Type: text/plain; charset=us-ascii Timing Analysis of Keystrokes and Timing Attacks on SSH Dawn Xiaodong Song, David Wagner, Xuqing Tian University of California, Berkeley SSH is designed to provide a security channel between two hosts. Despite the encryption and authentication mechanisms it uses, SSH has two weakness: First, the transmitted packets are padded only to an eight-byte boundary (if a block cipher is in use), which reveals the approximate size of the original data. Second, in interactive mode, every individual keystroke that a user types is sent to the remote machine in a separate IP packet immediately after the key is pressed, which leaks the interkeystroke timing information of users' typing. In this paper, we show how these seemingly minor weaknesses result in serious security risks. First we show that even very simply statistical techniques suffice to reveal sensitive information such as the length of users' passwords or even root passwords. More importantly, we further show that using more advanced statistical techniques on timing information collected from the network, the eavesdropped can learn significant information about what users type in SSH sessions. In particular, we perform a statistical study of users' typing patterns and show that these patterns reveal information about the keys typed. By developing a Hidden Markov Model and our key sequence prediction algorithm, we can predict key sequences from the interkeystroke timings. We further develop and attacker system, Herbivore, which tried to learn users' passwords by monitoring SSH sessions. By collecting timing information on the network, Herbivore can speed up exhaustive search for passwords by a factor of 50. We also propose some countermeasures. In general our results apply not only to SSH, but also to general class of protocols for encrypting interactive traffic. We show that timing leaks open a new set of security risks, and hence caution must be taken when designing this type of protocol. http://paris.cs.berkeley.edu/~dawnsong/papers/ssh-timing.pdf - Elias Levy SecurityFocus http://www.securityfocus.com/ Si vis pacem, para bellum --------------------------------------------------------------------- To unsubscribe, e-mail: secureshell-unsubscribe@securityfocus.com For additional commands, e-mail: secureshell-help@securityfocus.com ------- End of forwarded message ------- --------------------------------------------------------------------- The Cryptography Mailing List Unsubscribe by sending "unsubscribe cryptography" to majordomo@wasabisystems.com
participants (1)
-
Eugene Leitl