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| Content Provider | ACM Digital Library |
|---|---|
| Author | Hardekopf, Ben Kashyap, Vineeth |
| Abstract | JavaScript-based browser addons are a tempting target for malicious developers---addons have high privileges and ready access to a browser user's confidential information, and they have none of the usual sandboxing or other security restrictions used for client-side webpage JavaScript. Therefore, vetting third-party addons is important both for addon users and for the browser providers that host official addon repositories. The current state-of-the-art vetting methodology is manual and ad-hoc, which makes the vetting process difficult, tedious, and error-prone. In this paper, we propose a method to help automate this vetting process. We describe a novel notion of addon security signatures, which provide detailed information about an addon's information flows and API usage, along with a novel static analysis to automatically infer these signatures from the addon code. We implement our analysis and empirically evaluate it on a benchmark suite consisting of ten real browser addons taken from the official Mozilla addon repository. Our results show that our analysis is practical and useful for vetting browser addons. |
| Starting Page | 219 |
| Ending Page | 229 |
| Page Count | 11 |
| File Format | |
| ISBN | 9781450326704 |
| DOI | 10.1145/2544137.2544149 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-02-15 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Browser addons Static analysis Javascript |
| Content Type | Text |
| Resource Type | Article |
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