By Sandeep Bhatkar, R. Sekar (auth.), Diego Zamboni (eds.)
ISBN-10: 3540705414
ISBN-13: 9783540705413
This publication constitutes the refereed complaints of the fifth overseas convention on Detection of Intrusions and Malware, and Vulnerability evaluation, DIMVA 2008, held in Paris, France in July 2008.
The thirteen revised complete papers awarded including one prolonged summary have been rigorously reviewed and chosen from forty two submissions. The papers are equipped in topical sections on assault prevention, malware detection and prevention, assault ideas and vulnerability evaluate, and intrusion detection and task correlation.
Read or Download Detection of Intrusions and Malware, and Vulnerability Assessment: 5th International Conference, DIMVA 2008, Paris, France, July 10-11, 2008. Proceedings PDF
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Additional info for Detection of Intrusions and Malware, and Vulnerability Assessment: 5th International Conference, DIMVA 2008, Paris, France, July 10-11, 2008. Proceedings
Sample text
AddressException raises an exception, which generates a stack trace. The SendMail subsequently displays this stack trace, which contains the malicious from field. Such exceptional cases are typically not checked by the input filters, and illustrates the need for dynamic protection mechanisms such as ours. Attack evaluation summary. Our solution successfully defended all 8 exploits mentioned above. This demonstrates that the XSS-G UARD can be used successfully to safeguard the real world applications against XSS exploits.
The above example is simple but contrived, however there are practical examples of such “table-lookup” code. One instance we encountered is charset-decoding, where every character in a particular character set is decoded using a similar table lookup. Here too, our approach and dynamic tainting will fail. In case of our approach and tainting, the information about untrusted input is lost due to the conditional-copy of one character to another. Our solution for handling these functions is to include (user supplied) summarization functions, that summarize the effect of these functions and preserve the shadow values.
Web application provides policies (a while list of all benign scripts), which when enforced by the browsers (only white-listed scripts execute), ensures protection against injection attacks. This is a very sound idea. However current framework requires web applications and browsers to collaborate - which may be a big challenge in adoption of such solutions. Further, in [17], white-list construction is mostly done by hand, and does not automatically include dynamically generated scripts. Our scheme can be complimentary to the solution provided by [17] to determine the set of scripts in the whitelist.
Detection of Intrusions and Malware, and Vulnerability Assessment: 5th International Conference, DIMVA 2008, Paris, France, July 10-11, 2008. Proceedings by Sandeep Bhatkar, R. Sekar (auth.), Diego Zamboni (eds.)
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