Stay informed on data exfiltration threats. Protect sensitive information with the latest news and expert insights on prevention and response strategies.
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Background for this topic.
Data exfiltration is the covert or unauthorized transfer of sensitive information from an organization’s internal systems to an external destination controlled by an attacker. This technique often targets intellectual property, personal data, or credentials and can be executed via malware, compromised insiders, or misconfigured cloud services. Attackers may use encrypted channels, steganography, or legitimate protocols to evade detection.
Effective defense focuses on limiting data access through strict permissions, monitoring network traffic for unusual outbound flows, and deploying data loss prevention (DLP) tools that identify and block suspicious transfers. Endpoint detection and response (EDR) solutions can detect anomalous processes attempting exfiltration. Understanding typical data flows and establishing baseline behavior is crucial to spotting deviations that indicate exfiltration attempts.
LNK files use GitHub C2, embedded decoders and PowerShell for persistence and data exfiltration
A previously unknown vulnerability in OpenAI ChatGPT allowed sensitive conversation data to be exfiltrated without user knowledge or consent, according to new findings from Check Point