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Data exfiltration is the unauthorized transfer of sensitive files from your organization to an attacker. It is the foundation of double extortion, and traditional DLP cannot stop it.
Data exfiltration is the unauthorized transfer of sensitive data from a target system to an attacker‑controlled destination. It may target intellectual property, financial records, customer data, personal information, or authentication credentials.
In the context of ransomware, exfiltration happens before encryption. Attackers steal files first, then encrypt them, giving them two forms of leverage: the encrypted data and the threat of publishing the stolen files publicly.
Even organizations that recover quickly from backups may still face regulatory consequences, reputational damage, and legal liability from the data theft alone.
Attackers upload stolen files to their own OneDrive, Dropbox, or Mega accounts. Because these services use HTTPS and look identical to legitimate cloud sync traffic, most security tools miss them.
Files are packed into password‑protected ZIP or 7-zip archives and transferred to attacker infrastructure. Content inspection cannot read inside encrypted archives.
Files are posted directly to attacker‑controlled web servers using standard HTTP upload methods. HTTPS traffic hides the content from network‑based inspection.
Traditional Data Loss Prevention (DLP) relies on content inspection and policy rules, identifying sensitive file types, keywords, or known‑bad destinations. This approach has fundamental limitations:
Ranger's unified algorithm detects exfiltration behavior at the data‑flow level, independent of destination, protocol, or file type. It works without maintaining destination blocklists or content policies, eliminating the operational burden that makes traditional DLP so difficult to sustain.
The same algorithm that stops ransomware also detects data exfiltration , providing both protections from a single, lightweight on‑device agent.