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| Content Provider | ACM Digital Library |
|---|---|
| Author | Schmitz, Roland Khan, M. Asad Usman Sadeghi, Ahmad-Reza Li, Shujun Shah, S. Amier Haider Khayam, Syed Ali |
| Abstract | Many financial institutions have deployed CAPTCHAs to protect their services (e.g., e-banking) from automated attacks. In addition to CAPTCHAs for login, CAPTCHAs are also used to prevent malicious manipulation of e-banking transactions by automated Man-in-the-Middle (MitM) attackers. Despite serious financial risks, security of e-banking CAPTCHAs is largely unexplored. In this paper, we report the first comprehensive study on e-banking CAPTCHAs deployed around the world. A new set of image processing and pattern recognition techniques is proposed to break all e-banking CAPTCHA schemes that we found over the Internet, including three e-banking CAPTCHA schemes for transaction verification and 41 schemes for login. These broken e-banking CAPTCHA schemes are used by thousands of financial institutions worldwide, which are serving hundreds of millions of e-banking customers. The success rate of our proposed attacks are either equal to or close to 100%. We also discuss possible improvements to these e-banking CAPTCHA schemes and show essential difficulties of designing e-banking CAPTCHAs that are both secure and usable. |
| Starting Page | 171 |
| Ending Page | 180 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450301336 |
| DOI | 10.1145/1920261.1920288 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2010-12-06 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | E-banking Captcha Malware Man-in-the-middle attack Electronic commerce |
| Content Type | Text |
| Resource Type | Article |
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