Name
Abstract | ||
|---|---|---|
Search engines not only assist normal users, but also provide information that hackers and other malicious entities can exploit in their nefarious activities. With carefully crafted search queries, attackers can gather information such as email addresses and misconfigured or even vulnerable servers. We present SearchAudit, a framework that identifies malicious queries from massive search engine logs in order to uncover their relationship with potential attacks. SearchAudit takes in a small set of malicious queries as seed, expands the set using search logs, and generates regular expressions for detecting new malicious queries. For instance, we show that, relying on just 500 malicious queries as seed, SearchAudit discovers an additional 4 million distinct malicious queries and thousands of vulnerable Web sites. In addition, SearchAudit reveals a series of phishing attacks from more than 400 phishing domains that compromised a large number of Windows Live Messenger user credentials. Thus, we believe that SearchAudit can serve as a useful tool for identifying and preventing a wide class of attacks in their early phases. |
Year | Venue | Keywords |
|---|---|---|
2010 | USENIX Security Symposium | search log,malicious entity,massive search engine log,million distinct malicious query,new malicious query,phishing attack,search query,phishing domain,search engine,malicious query,regular expression,network security |
Field | DocType | Citations |
World Wide Web,Regular expression,Internet privacy,Search engine,Phishing,Computer security,Computer science,Server,Exploit,Hacker | Conference | 6 |
PageRank | References | Authors |
0.74 | 16 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| John P. John | 1 | 500 | 28.15 |
| Fang Yu | 2 | 733 | 42.23 |
| Yinglian Xie | 3 | 1140 | 76.73 |
| Martín Abadi | 4 | 12074 | 1324.31 |
| Arvind Krishnamurthy | 5 | 4540 | 312.24 |