This report describes privacy and security issues with the Windows and Android versions of QQ Browser. Our research shows that both versions of the application transmit personally identifiable data without encryption or with easily decrypted encryption, and do not adequately protect the software update process.
This report describes privacy and security issues with Baidu Browser, a web browser for the Windows and Android platforms. Our research shows that the application transmits personal user data to Baidu servers without encryption and with easily decryptable encryption, and is vulnerable to arbitrary code execution during software updates via man-in-the-middle attacks. Much of the data leakage is the result of a shared Baidu software development kit, which affects hundreds of additional applications.
This report provides a detailed, mixed methods analysis of Information controls related to the Yemen armed conflict, with research commencing at the end of 2014 and continuing through October 20, 2015. The research confirms that Internet filtering products sold by the Canadian company Netsweeper have been installed on and are presently in operation in the state-owned and operated ISP YemenNet, the most utilized ISP in the country.
This report analyzes a campaign of targeted attacks against an NGO working on environmental issues in Southeast Asia. Our analysis reveals connections between these attacks, recent strategic web compromises against Burmese government websites, and previous campaigns targeting groups in the Tibetan community.
This post describes the results of Internet scanning we recently conducted to identify the users of FinFisher, a sophisticated and user-friendly spyware suite sold exclusively to governments. We devise a method for querying FinFisher’s “anonymizing proxies” to unmask the true location of the spyware’s master servers. Since the master servers are installed on the premises of FinFisher customers, tracing the servers allows us to identify which governments are likely using FinFisher. In some cases, we can trace the servers to specific entities inside a government by correlating our scan results with publicly available sources.
In this paper presented at USENIX FOCI 2015 we use reverse engineering to provide a view into how keyword censorship operates on four popular social video platforms in China: YY, 9158, Sina Show, and GuaGua. We also find keyword surveillance capabilities on YY. Our findings show inconsistencies in the implementation of censorship and the keyword lists used to trigger censorship events between the platforms we analyzed. We reveal a range of targeted content including criticism of the government and collective action. These results provide evidence that there is no monolithic set of rules that govern how information controls are implemented in China.