| Email address | private |
|---|---|
| First Active | 2003-12-14 |
| Last Active | 2013-12-25 |
Malheur is a tool for automatic analysis of program behavior recorded from malicious software (malware). It is designed to support the regular analysis of malicious software and the development of detection and defense measures. It allows for identifying novel classes of malware with similar behavior and assigning unknown malware to discovered classes. It can be applied to recorded program behavior of various formats as long as monitored events are separated by delimiter symbols, e.g. as in reports generated by the popular malware sandboxes CWSandbox, Anubis, Norman Sandbox, and Joebox.
bb3db24ceb168a4ff7687bd7d877b71a411226d83905158d3b5d10be38c9b052Malheur is a tool for automatic analysis of program behavior recorded from malicious software (malware). It is designed to support the regular analysis of malicious software and the development of detection and defense measures. It allows for identifying novel classes of malware with similar behavior and assigning unknown malware to discovered classes. It can be applied to recorded program behavior of various formats as long as monitored events are separated by delimiter symbols, e.g. as in reports generated by the popular malware sandboxes CWSandbox, Anubis, Norman Sandbox, and Joebox.
feffed3a6f9712581d6d3919879040b1a1af45225b1010a4993bf862650b8bd0Malheur is a tool for automatic analysis of program behavior recorded from malicious software (malware). It is designed to support the regular analysis of malicious software and the development of detection and defense measures. It allows for identifying novel classes of malware with similar behavior and assigning unknown malware to discovered classes. It can be applied to recorded program behavior of various formats as long as monitored events are separated by delimiter symbols, e.g. as in reports generated by the popular malware sandboxes CWSandbox, Anubis, Norman Sandbox, and Joebox.
ca0c50fbc6f33874be11bc7f129e882084b6149cfd3b0dec1cf4936313a1953aMalheur is a tool for automatic analysis of program behavior recorded from malicious software (malware). It is designed to support the regular analysis of malicious software and the development of detection and defense measures. It allows for identifying novel classes of malware with similar behavior and assigning unknown malware to discovered classes. It can be applied to recorded program behavior of various formats as long as monitored events are separated by delimiter symbols, e.g. as in reports generated by the popular malware sandboxes CWSandbox, Anubis, Norman Sandbox, and Joebox.
b23a4c2300216b322fc2b40a1624a3b7d197ae9f6f944b0f4fb13625af635734Malheur is a tool for automatic analysis of program behavior recorded from malicious software (malware). It is designed to support the regular analysis of malicious software and the development of detection and defense measures. It allows for identifying novel classes of malware with similar behavior and assigning unknown malware to discovered classes. It can be applied to recorded program behavior of various formats as long as monitored events are separated by delimiter symbols, e.g. as in reports generated by the popular malware sandboxes CWSandbox, Anubis, Norman Sandbox, and Joebox.
3be1c2c3ddf9fa21e38ce94750996f036a69b033f1baf6d76c0a960a040fd74eMalheur is a tool for automatic analysis of program behavior recorded from malicious software (malware). It is designed to support the regular analysis of malicious software and the development of detection and defense measures. It allows for identifying novel classes of malware with similar behavior and assigning unknown malware to discovered classes. It can be applied to recorded program behavior of various formats as long as monitored events are separated by delimiter symbols, e.g. as in reports generated by the popular malware sandboxes CWSandbox, Anubis, Norman Sandbox, and Joebox.
df152eb282e18a93d369d9d2a4b5080144ecc1e024ca75649e2b5307ca065711Malheur is a tool for automatic analysis of program behavior recorded from malicious software (malware). It is designed to support the regular analysis of malicious software and the development of detection and defense measures. It allows for identifying novel classes of malware with similar behavior and assigning unknown malware to discovered classes. It can be applied to recorded program behavior of various formats as long as monitored events are separated by delimiter symbols, e.g. as in reports generated by the popular malware sandboxes CWSandbox, Anubis, Norman Sandbox, and Joebox.
f09e067a8a31743143add874ffdc7a4a5fd2f078cf7808c58fd8f79c9bd497d4Malheur is a tool for automatic analysis of program behavior recorded from malicious software (malware). It is designed to support the regular analysis of malicious software and the development of detection and defense measures. It allows for identifying novel classes of malware with similar behavior and assigning unknown malware to discovered classes. It can be applied to recorded program behavior of various formats as long as monitored events are separated by delimiter symbols, e.g. as in reports generated by the popular malware sandboxes CWSandbox, Anubis, Norman Sandbox, and Joebox.
3530dccb3a426ab47e5db7746ea79e98d8e57353d7b1e19c0cba6da526dd3bc6Malheur is a tool for automatic analysis of program behavior recorded from malicious software (malware). It is designed to support the regular analysis of malicious software and the development of detection and defense measures. It allows for identifying novel classes of malware with similar behavior and assigning unknown malware to discovered classes. It can be applied to recorded program behavior of various formats as long as monitored events are separated by delimiter symbols, e.g. as in reports generated by the popular malware sandboxes CWSandbox, Anubis, Norman Sandbox, and Joebox.
34da6bbc102ec549b6563c26b7f089d8f10c631825aacf6478c54cae6e058c02Stream Analyzer is a console application which analyses binary streams and calculates useful statistical information from the observed data which features mathematical, pattern, and bit analysis. It has been designed as a "Swiss-army-knife" for initial steps in reverse engineering and cryptographic analysis.
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