International Business Machines Corporation

Microsoft Technology Licensing, LLC

Charles M Curtsinger

Benjamin Zorn

Benjamin Livshits

Rodric Rabbah

Christian Seifert

Emery D Berger

Daniel W Barowy

Output is obtained from a remote computer function on a first set of arguments. Responsive to determining that the output exhibits an error, a fixer routine, other than a retry, is applied to the arguments to produce new arguments. Output is obtained from the remote computer function on the new arguments. In a case where the output from the remote computer function on the new arguments is acceptable, the output from the remote computer function on the new arguments is used as a corresponding output from the remote computer function on the first set of arguments. These steps can advantageously be carried out without modifying program code of the remote computer function and without access to the program code of the remote computer function; for example, by a wrapper which black-box wraps the remote computer function.

Automatic error fixes for high-availability applications

This document describes techniques for detection of code-based malware. According to some embodiments, the techniques utilize a collection of known malicious code and know benign code and determine which features of each type of code can be used to determine whether unclassified code is malicious or benign. The features can then be used to train a classifier (e.g., a Bayesian classifier) to characterize unclassified code as malicious or benign. In at least some embodiments, the techniques can be used as part of and/or in cooperation with a web browser to inspect web content (e.g., a web page) to determine if the content includes code-based malware.

Detection of code-based malware

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Saint Paul, MN, United States of America

Charles M Curtsinger