Demo Data from VLDB 2026 / reviewers in the wild / expert
Amar Bhosale
dblp:147/7960
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Web and mobile security · 87% Privacy and data protection · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Web and mobile security › web attacks
cross-origin attacks |
0.2 | 1 | 2014 | All Your Screens Are Belong to Us: Attacks Exploiting the HTML5 Screen Sharing API · IEEE Symposium on Security and Privacy 2014 |
Privacy and data protection
information disclosure |
0.1 | 1 | 2014 | All Your Screens Are Belong to Us: Attacks Exploiting the HTML5 Screen Sharing API · IEEE Symposium on Security and Privacy 2014 |
Methods — techniques the papers use, named apart from their topics
history sniffing · 0.2cross-site request forgery · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | All Your Screens Are Belong to Us: Attacks Exploiting the HTML5 Screen Sharing APIabstractHTML5 changes many aspects in the browser world by introducing numerous new concepts, in particular, the new HTML5 screen sharing API impacts the security implications of browsers tremendously. One of the core assumptions on which browser security is built is that there is no cross-origin feedback loop from the client to the server. However, the screen sharing API allows creating a cross-origin feedback loop. Consequently, websites will potentially be able to see all visible content from the user's screen, irrespective of its origin. This cross-origin feedback loop, when combined with human vision limitations, can introduce new vulnerabilities. An attacker can capture sensitive information from victim's screen using the new API without the consensus of the victim. We investigate the security implications of the screen sharing API and discuss how existing defenses against traditional web attacks fail during screen sharing. We show that several attacks are possible with the help of the screen sharing API: cross-site request forgery, history sniffing, and information stealing. We discuss how popular websites such as Amazon and Wells Fargo can be attacked using this API and demonstrate the consequences of the attacks such as economic losses, compromised account and information disclosure. The objective of this paper is to present the attacks using the screen sharing API, analyze the fundamental cause and motivate potential defenses to design a more secure screen sharing API. Yuan Tian 0001, Ying Chuan Liu, Amar Bhosale, Lin-Shung Huang, Patrick Tague, Collin Jackson |
IEEE Symposium on Security and Privacy | 3 |