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		<title>New detection framework strips disguise from fraudulent Android apps</title>
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		<pubDate>Fri, 23 Oct 2026 15:23:40 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Android security]]></category>
		<category><![CDATA[behavioral graph]]></category>
		<category><![CDATA[certificate pinning]]></category>
		<category><![CDATA[dynamic sandbox]]></category>
		<category><![CDATA[eBPF]]></category>
		<category><![CDATA[fraud detection]]></category>
		<category><![CDATA[malware evasion]]></category>
		<category><![CDATA[mobile cybersecurity]]></category>
		<category><![CDATA[RiskRank]]></category>
		<category><![CDATA[threat knowledge graph]]></category>
		<category><![CDATA[time-decay scoring]]></category>
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					<description><![CDATA[Researchers report a unified Android fraud detection framework combining kernel-level traffic decryption, a behavioral graph, and time-decay risk scoring that achieved 96.8 percent accuracy on 2,000 apps, most of them hardened against conventional analysis.]]></description>
		
		
		
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