CMU Usable Privacy and Security Laboratory Phinding Phish: An Evaluation of Anti-Phishing Toolbars...

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CMU Usable Privacy and Security Laboratory http://cups.cs.cmu.edu/ Phinding Phish: An Evaluation of Anti- Phishing Toolbars Yue Zhang, Serge Egelman, Lorrie Cranor, and Jason Hong

Transcript of CMU Usable Privacy and Security Laboratory Phinding Phish: An Evaluation of Anti-Phishing Toolbars...

CMU Usable Privacy and SecurityLaboratory

http://cups.cs.cmu.edu/

Phinding Phish: An Evaluation of Anti-Phishing Toolbars

Yue Zhang, Serge Egelman, Lorrie Cranor, and Jason

Hong

• CMU Usable Privacy and Security Laboratory • http://cups.cs.cmu.edu/

Anti-Phishing Tools 84 Listed on download.com (Sept. ‘06)

Included in many browsers

Poor usability•Many users don’t see indicators•Many choose to ignore them•But usability is being addressed

Are they accurate?

• CMU Usable Privacy and Security Laboratory • http://cups.cs.cmu.edu/

Tools Tested CallingID

Cloudmark

EarthLink

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Tools Tested eBay

Firefox

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Tools Tested IE7

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Tools Tested Netcraft

Netscape

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Tools Tested SpoofGuard

TrustWatch

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Source of Phish High volume of fresh phish

• Sites taken down after a day on average• Fresh phish yield blacklist update information

Can’t use toolbar blacklists

We experimented with several sources• APWG - high volume but many duplicates and legitimate URLs included

• Phishtank.org - lower volume but easier to extract phish

• Assorted other phish archives - often low volume or not fresh enough

• CMU Usable Privacy and Security Laboratory • http://cups.cs.cmu.edu/

Phishing Feeds Anti-Phishing Working Group•[email protected]•ISPs, individuals, etc.•>2,000 messages/day•Filtering out URLs from messages

PhishTank•http://www.phishtank.org/•Submitted by public•~48 messages/day•Manually verify URLs

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Testbed for Anti-Phishing Toolbars Automated testing Aggregate performance statistics Key design issue:•Different browsers•Different toolbars•Different indicator types

Solution: Image analysis•Compare screenshots with known states

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Phish!!

Warning!!

Image-Based Comparisons Two examples: TrustWatch and Google TrustWatch:

Google:

ScreenShot

ScreenShot

VerifiedNot verified

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Testbed System Architecture

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Testbed System ArchitectureRetrieve Potential Phishing SitesRetrieve Potential Phishing Sites

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Testbed System Architecture

Send URL to WorkersSend URL to Workers

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Testbed System Architecture

Worker Evaluates Worker Evaluates Potential Phishing SitePotential Phishing Site

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Testbed System Architecture

Task Manager Task Manager Aggregates ResultsAggregates Results

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Experiment Methodology Catch Rate: Given a set of phishing URLs, what percentage of

them are correctly labeled as phish by the tool - count block and warning only - taken down sites removed

False Positives: Given a set of legitimate URLs, what percentage of

them are incorrectly labeled as phish by the tool - count block and warning only - taken down sites removed

• CMU Usable Privacy and Security Laboratory • http://cups.cs.cmu.edu/

Experiment 1 PhishTank feed used Equipment:

• 1 Notebook as Task Manager• 2 Notebooks as Workers

10 Tools Examined:• CloudMark• Earthlink• eBay• IE7• Google/Firefox• McAfee• Netcraft• Netscape• SpoofGuard• TrustWatch

• CMU Usable Privacy and Security Laboratory • http://cups.cs.cmu.edu/

Experiment 1 100 phishing URLs

• PhishTank feed• Manually verified• Re-examined at 1, 2, 12, 24 hour intervals• Examined blacklist update rate (except w/SpoofGuard)

• Examined take-down rate

514 legitimate URLs• 416 from 3Sharp report• 35 from bank log-in pages• 35 from top pages by Alexa• 30 random pages

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Experiment 2 APWG phishing feed 9 of the same toolbars tested + CallingID

Same testing environment

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Results of Experiment 1

0%

10%

20%

30%

40%

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60%

70%

80%

90%

100%

0 1 2 12 24

cloudmark

earthlink

eBay

firefox w/google

ie7

mcafee

netcraft

netscape

spoofguard

trustwatch

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Results of Experiment 2

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

0 1 2 12 24

cloudmark

earthlink

eBay

firefox w/google

ie7

callingID

netcraft

netscape

spoofguard

trustwatch

firefox

• CMU Usable Privacy and Security Laboratory • http://cups.cs.cmu.edu/

False Positives

Toolbar False Positive

SpoofGuard 218 (42%)

CallingID 10 (2%)

Cloudmark 5 (1%)

EarthLink 5 (1%)

Not a big problem for most of the toolbars

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Overall findings No toolbar caught 100%

Good performers:•SpoofGuard (>90%)

Though 42% false positives•IE7 (70%-80%)•Netcraft (60%-80%)•Firefox (50%-80%)

Most performed poorly:•Netscape (10%-30%)•CallingID (20%-40%)

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More findings Performance varied with feed

• Better with Phishtank: Cloudmark, Earthlink, Firefox, Netcraft

• Better with APWG: eBay, IE7, Netscape

• Almost the same: Spoofguard, Trustwatch

Different increases over time• More increases on APWG• Reflects the “freshness” of URLs

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CDN Attack Many tools use blacklists

Many examine IP addresses (location, etc.)

Proxies distort URLs• Used Coral CDN• Append .nyud.net:8090 to URLs• Uses PlanetLab

Works on:• Cloudmark• Google• TrustWatch• Netcraft• Netscape

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Page Load Attack Some wait for page to be fully loaded•SpoofGuard•eBay

Insert a web bug taking infinite load time•5 lines of PHP•1x1 GIF•Infinite loop spitting out data very slowly

Tool stays in previous state

Unable to indicate anything

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Conclusion Tool Performance

• No toolbars are perfect• No single toolbar will outperform others• Heuristics have false positives

Whitelists? Hybrid approach?

Testing Methodology• Get fresher URLs• Test other than default settings

User interfaces• Usability is important

Traffic light? Pop up message? Re-direct page?

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