A Tool To Reduce False Security AlertsA Tool To Reduce False Security Alerts

Software which works with the popular Snort intrusion detection system can slash false alarms up to 70%, Qualys says.

George V. Hulme, Contributor

July 30, 2003

1 Min Read
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False security alarms--warnings about attacks that actually aren't attacks--are a burden for security administrators who attempt to use intrusion-detection systems to spot potentially malicious activity against their applications, systems, and networks.

Software vulnerability-assessment vendor Qualys Inc. Wednesday released a tool, Quidscor, that it says will reduce false alarms for users of the popular and free Snort intrusion-detection system. Quidscor can slash Snort's false positives by up to 70%, says Gerhard Eschelbeck, CTO and VP of engineering at Qualys.

Quidscor is an open-source correlation engine that merges vulnerability data from a customer's systems with Snort IDS attack information, Eschelbeck says. For example, if an attacker is attempting to attack a company's server with an attack technique that only works on Apache servers, but the company is running server software from Microsoft, the user won't get an alert because its systems aren't vulnerable to that specific attack.

The correlation engine also can help to prioritize the alerts that do get through so customers can focus on attacks that are most threatening to their systems, he says.

"This is a great start and hopefully a direction other vendors will move to help solve the false-alert problem with IDS systems," says Eric Ogren, senior analyst with the Yankee Group. "This can help reduce the complexity of managing IDS systems," he adds.

Quidscor is available for download at http://quidscor.sourceforge.net.

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About the Author

George V. Hulme

Contributor

An award winning writer and journalist, for more than 20 years George Hulme has written about business, technology, and IT security topics. He currently freelances for a wide range of publications, and is security blogger at information.com.

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