CRApr 30, 2012

Off-Path Attacking the Web

arXiv:1204.6623v145 citations
Originality Incremental advance
AI Analysis

This addresses a critical security problem for web users and administrators by exposing a novel attack vector that bypasses existing defenses, though it is incremental in building on known side-channel techniques.

The paper demonstrates how an off-path attacker can execute cross-site scripting, cross-site request forgery, site spoofing, and denial of service attacks without exploiting browser or server vulnerabilities, even over SSL/TLS connections, by learning TCP sequence numbers through IP-ID side channels, with practical defenses proposed at the firewall level.

We show how an off-path (spoofing-only) attacker can perform cross-site scripting (XSS), cross-site request forgery (CSRF) and site spoofing/defacement attacks, without requiring vulnerabilities in either web-browser or server and circumventing known defenses. Attacker can also launch devastating denial of service (DoS) attacks, even when the connection between the client and the server is secured with SSL/TLS. The attacks are practical and require a puppet (malicious script in browser sandbox) running on a the victim client machine, and attacker capable of IP-spoofing on the Internet. Our attacks use a technique allowing an off-path attacker to learn the sequence numbers of both client and server in a TCP connection. The technique exploits the fact that many computers, in particular those running Windows, use a global IP-ID counter, which provides a side channel allowing efficient exposure of the connection sequence numbers. We present results of experiments evaluating the learning technique and the attacks that exploit it. Finally, we present practical defenses that can be deployed at the firewall level; no changes to existing TCP/IP stacks are required.

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