Which term describes the practice of retrieving sensitive information from discarded items?

Which term describes the practice of retrieving sensitive information from discarded items?

• A. Dumpster diving
• B. Dynamic DNS (DDNS)
• C. Encryption
• D. Error codes

Answer: (A)

Retrieving sensitive information from discarded items is dumpster diving. It’s a low-tech data breach tactic that takes advantage of how organizations dispose of documents and media containing confidential details. By rummaging through trash or recycling, an attacker can uncover things like bank statements, receipts, or old hard drives with sensitive data, leading to identity theft, fraud, or unauthorized access. The strength of the concept here is understanding the importance of proper disposal and data sanitization: shredding paper, securely wiping or destroying storage media, and enforcing policies that ensure nothing sensitive ends up in the trash. Dynamic DNS is about mapping dynamic IPs to hostnames, encryption protects data but doesn’t prevent someone from obtaining discarded information, and error codes are simply indicators of issues, not methods for obtaining data.

Retrieving sensitive information from discarded items is dumpster diving. It’s a low-tech data breach tactic that takes advantage of how organizations dispose of documents and media containing confidential details. By rummaging through trash or recycling, an attacker can uncover things like bank statements, receipts, or old hard drives with sensitive data, leading to identity theft, fraud, or unauthorized access. The strength of the concept here is understanding the importance of proper disposal and data sanitization: shredding paper, securely wiping or destroying storage media, and enforcing policies that ensure nothing sensitive ends up in the trash. Dynamic DNS is about mapping dynamic IPs to hostnames, encryption protects data but doesn’t prevent someone from obtaining discarded information, and error codes are simply indicators of issues, not methods for obtaining data.