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	<title>M-unition &#187; humint</title>
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	<description>The Ammunition You Need to Find Evil and Solve Crime</description>
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		<title>Combat the APT by Sharing Indicators of Compromise</title>
		<link>http://blog.mandiant.com/archives/766</link>
		<comments>http://blog.mandiant.com/archives/766#comments</comments>
		<pubDate>Tue, 26 Jan 2010 15:03:27 +0000</pubDate>
		<dc:creator>mfrazier</dc:creator>
				<category><![CDATA[Conferences]]></category>
		<category><![CDATA[General]]></category>
		<category><![CDATA[APT]]></category>
		<category><![CDATA[humint]]></category>
		<category><![CDATA[MIR]]></category>
		<category><![CDATA[sizzle]]></category>
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		<description><![CDATA[Conventional compromise datasets consist of table after table of immediately-stale data capturing few if any relationships. An Indicator of Compromise (IOC), however, is a Boolean decision tree that discriminates an indicator from a false-positive, theory from ground truth.]]></description>
			<content:encoded><![CDATA[<p>At MANDIANT, we value human intelligence &#8211; ground-truth, intelligent decision-making and adapting to your enemy&#8217;s tactics. Since expert humans can&#8217;t be everywhere, we&#8217;ve built a means to exchange enough ground-truth and decision-making so security experts can spend more energy applying expertise, less time parsing and pruning stale datasets and leverage their expertise across organizations and between compromises.</p>
<p>Historically, compromise data has been exchanged in CSV or PDFs laden with tables of &#8220;known bad&#8221; malware information &#8211; name, size, MD5 hash values and paragraphs of imprecise descriptions supplemented by ad-hoc exchanges between targets.</p>
<p>MANDIANT, inspired by field pressures, operation after operation, imagined a way to exchange not only indicators of specific compromises but structures which formalize the human-intelligence of decision-making, rules, exceptions, and ongoing adaptability. Our Indicators of Compromise (IOCs) were shaped operationally detecting real-world threats. We help our clients detect the APT right now, and they&#8217;re exchanging information about it using IOCs.</p>
<p>Conventional compromise datasets consist of table after table of immediately-stale data capturing few, if any, relationships. An Indicator of Compromise (IOC), however, is a Boolean decision tree that discriminates an indicator from a false-positive, theory from ground truth. What&#8217;s more, when you discover an exception or extension to a well-known-IOC you can describe it concisely and proactively, authenticate its source and re-evaluate your existing data to detect new instances of old compromises. This way, as a threat group adapts to your detections, you retain an IOC&#8217;s identity and maintain the value of intelligence shared with other targets over time.</p>
<p><a href="http://blog.mandiant.com/wp-content/ammo/whats-an-indicator-copy_1.png"></a><a href="http://blog.mandiant.com/wp-content/ammo/whats-an-indicator-copy_11.png"><img class="aligncenter size-full wp-image-799" title="whats-an-indicator copy_1" src="http://blog.mandiant.com/wp-content/ammo/whats-an-indicator-copy_11.png" alt="" width="480" height="360" /></a></p>
<p>Importantly, IOC is industry-standard XML so you already have tools and a community of experts who can comprehend, transform, and leverage new data immediately. Unlike many XML standards however, it&#8217;s simple &#8211; developed operationally with an eye toward staying adaptable, transformable, and scalable. IOC describes relationships which indicate compromise &#8211; this makes the format resilient to new data formats, data sources and decision engines.</p>
<p>At DoD CyberCrime 2010 MANDIANT will formally release this format and tools to leverage it in your investigations today. We&#8217;ll have full coverage of the release on M-unition &#8211; stay tuned.</p>
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