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add proposal 159, 'exit scanning', from or-dev
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doc/spec/proposals/159-exit-scanning.txt
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doc/spec/proposals/159-exit-scanning.txt
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Filename: 159-exit-scanning.txt
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Title: Exit Scanning
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Version: $Revision$
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Last-Modified: $Date$
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Author: Mike Perry
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Created: 13-Feb-2009
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Status: Open
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Overview:
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This proposal describes the implementation and integration of an
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automated exit node scanner for scanning the Tor network for malicious,
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misconfigured, firewalled or filtered nodes.
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Motivation:
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Tor exit nodes can be run by anyone with an Internet connection. Often,
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these users aren't fully aware of limitations of their networking
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setup. Content filters, antivirus software, advertisements injected by
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their service providers, malicious upstream providers, and the resource
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limitations of their computer or networking equipment have all been
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observed on the current Tor network.
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It is also possible that some nodes exist purely for malicious
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purposes. In the past, there have been intermittent instances of
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nodes spoofing SSH keys, as well as nodes being used for purposes of
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plaintext surveillance.
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While it is not realistic to expect to catch extremely targeted or
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completely passive malicious adversaries, the goal is to prevent
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malicious adversaries from deploying dragnet attacks against large
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segments of the Tor userbase.
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Scanning methodology:
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The first scans to be implemented are HTTP, HTML, Javascript, and
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SSL scans.
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The HTTP scan scrapes Google for common filetype urls such as exe, msi,
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doc, dmg, etc. It then fetches these urls through Non-Tor and Tor, and
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compares the SHA1 hases of the resulting content.
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The SSL scan downloads certificates for all IPs a domain will locally
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resolve to and compares these certificates to those seen over Tor. The
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scanner notes if a domain had rotated certificates locally in the
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results for each scan.
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The HTML scan checks HTML, Javascript, and plugin content for
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modifications. Because of the dynamic nature of most of the web, the
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scanner has a number of mechanisms built in to filter out false
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positives that are used when a change is noticed between Tor and
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Non-Tor.
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All tests also share a URL-based false positive filter that
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automatically removes results retroactively if the number of failures
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exceeds a certain percentage of nodes tested with the URL.
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Deployment Stages:
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To avoid instances where bugs cause us to mark exit nodes as BadExit
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improperly, it is proposed that we begin use of the scanner in stages.
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1. Manual Review:
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In the first stage, basic scans will be run by a small number of
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people while we stabilize the scanner. The scanner has the ability
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to resume crashed scans, and to rescan nodes that fail various
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tests.
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2. Human Review:
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In the second stage, results will be automatically mailed to
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an email list of interested parties for review. We will also begin
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classifying failure types into three to four different severity
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levels, based on both the reliability of the test and the nature of
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the failure.
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3. Automatic BadExit Marking:
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In the final stage, the scanner will begin marking exits depending
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on the failure severity level in one of three different ways: by
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node idhex, by node IP, or by node IP mask. A potential fourth, less
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severe category of results may still be delivered via email only for
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review.
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BadExit markings will be delivered in batches upon completion
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of whole-network scans, so that the final false positive
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filter has an opportunity to filter out URLs that exhibit
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dynamic content beyond what we can filter.
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Specification of Exit Marking:
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Technically, BadExit could be marked via SETCONF AuthDirBadExit over
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the control port, but this would allow full access to the directory
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authority configuration and operation.
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The approved-routers file could also be used, but currently it only
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supports fingerprints, and it also contains other data unrelated to
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exit scanning that would be difficult to coordinate.
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Instead, we propose that a new badexit-routers file that has three
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keywords:
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BadExitNet 1*[exitpattern from 2.3 in dir-spec.txt]
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BadExitFP 1*[hexdigest from 2.3 in dir-spec.txt]
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BadExitNet lines would follow the codepaths used by AuthDirBadExit to
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set authdir_badexit_policy, and BadExitFP would follow the codepaths
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from approved-router's !badexit lines.
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The scanner would have exclusive ability to write, append, rewrite,
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and modify this file. Prior to building a new consensus vote, a
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participating Tor authority would read in a fresh copy.
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Security Implications:
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Aside from evading the scanner's detection, there are two additional
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high-level security considerations:
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1. Ensure nodes cannot be marked BadExit by an adversary at will
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It is possible individual website owners will be able to target certain
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Tor nodes, but once they begin to attempt to fail more than the URL
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filter percentage of the exits, their sites will be automatically
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discarded.
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Failing specific nodes is possible, but scanned results are fully
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reproducible, and BadExits should be rare enough that humans are never
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fully removed from the loop.
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State (cookies, cache, etc) does not otherwise persist in the scanner
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between exit nodes to enable one exit node to bias the results of a
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later one.
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2. Ensure that scanner compromise does not yield authority compromise
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Having a separate file that is under the exclusive control of the
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scanner allows us to heavily isolate the scanner from the Tor
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authority, potentially even running them on separate machines.
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