Ian Martiny (University of Colorado Boulder), Gabriel Kaptchuk (Boston University), Adam Aviv (The George Washington University), Dan Roche (U.S. Naval Avademy), Eric Wustrow (University of Colorado Boulder)

The Signal messaging service recently deployed a emph{sealed sender} feature that provides sender anonymity by cryptographically hiding a message's sender from the service provider. We demonstrate, both theoretically and empirically, that this one-sided anonymity is broken when two parties send multiple messages back and forth; that is, the promise of sealed sender does not emph{compose} over a conversation of messages. Our attack is in the family of Statistical Disclosure Attacks (SDAs), and is made particularly effective by emph{delivery receipts} that inform the sender that a message has been successfully delivered, which are enabled by default on Signal. We show using theoretical and simulation-based models that Signal could link sealed sender users in as few as 5 messages.

Our attack goes beyond tracking users via network-level identifiers by working at the application layer of Signal. This make our attacks particularly effective against users that employ Tor or VPNs as anonymity protections, who would otherwise be secure against network tracing. We present a range of practical mitigation strategies that could be employed to prevent such attacks, and we prove our protocols secure using a new simulation-based security definition for one-sided anonymity over any sequence of messages. The simplest provably-secure solution uses many of the same mechanisms already employed by the (flawed) sealed-sender protocol used by Signal, which means it could be deployed with relatively small overhead costs; we estimate that the extra cryptographic cost of running our most sophisticated solution in a system with millions of users would be less than $40 per month.

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Zhenxiao Qi (UC Riverside), Qian Feng (Baidu USA), Yueqiang Cheng (NIO Security Research), Mengjia Yan (MIT), Peng Li (ByteDance), Heng Yin (UC Riverside), Tao Wei (Ant Group)

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Zoom on the Keystrokes: Exploiting Video Calls for Keystroke...

Mohd Sabra (University of Texas at San Antonio), Anindya Maiti (University of Oklahoma), Murtuza Jadliwala (University of Texas at San Antonio)

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Доверя́й, но проверя́й: SFI safety for native-compiled Wasm

Evan Johnson (University of California San Diego), David Thien (University of California San Diego), Yousef Alhessi (University of California San Diego), Shravan Narayan (University Of California San Diego), Fraser Brown (Stanford University), Sorin Lerner (University of California San Diego), Tyler McMullen (Fastly Labs), Stefan Savage (University of California San Diego), Deian Stefan (University of California…

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PrivacyFlash Pro: Automating Privacy Policy Generation for Mobile Apps

Sebastian Zimmeck (Wesleyan University), Rafael Goldstein (Wesleyan University), David Baraka (Wesleyan University)

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