Which detection method identifies a web shell by analyzing server access, error logs, suspicious strings that indicate encoding, user agent strings, and other methods?

Which detection method identifies a web shell by analyzing server access, error logs, suspicious strings that indicate encoding, user agent strings, and other methods?

• A. Use of Web Shell Detection
• B. Use of DNS Tunneling Detection
• C. Data Staging
• D. HTTP User Agent Detection

Answer: (A)

Detecting a web shell relies on monitoring and correlating multiple server-side signals. Web shells are web-based backdoors that communicate over HTTP and often hide commands in encoded or obfuscated payloads. By examining server access logs for unusual or hidden endpoints, odd POST requests, or large payloads, along with error logs where shell code might trigger crashes or exceptions, you can spot activity consistent with a shell. Look for strings that indicate encoding or obfuscated commands, and watch for suspicious or spoofed user agent strings that don’t fit normal traffic patterns. This combined, log-oriented approach is specifically designed to uncover web shells by revealing how attackers interact with the server, encode their payloads, and blend in with traffic. The other options don’t address this multi-signal, web-focused detection approach: DNS tunneling targets exfiltration over DNS, data staging is about attacker procedures, and HTTP User Agent Detection alone misses the broader log and payload indicators.

Detecting a web shell relies on monitoring and correlating multiple server-side signals. Web shells are web-based backdoors that communicate over HTTP and often hide commands in encoded or obfuscated payloads. By examining server access logs for unusual or hidden endpoints, odd POST requests, or large payloads, along with error logs where shell code might trigger crashes or exceptions, you can spot activity consistent with a shell. Look for strings that indicate encoding or obfuscated commands, and watch for suspicious or spoofed user agent strings that don’t fit normal traffic patterns. This combined, log-oriented approach is specifically designed to uncover web shells by revealing how attackers interact with the server, encode their payloads, and blend in with traffic. The other options don’t address this multi-signal, web-focused detection approach: DNS tunneling targets exfiltration over DNS, data staging is about attacker procedures, and HTTP User Agent Detection alone misses the broader log and payload indicators.