What is a common method to detect web attacks in organization systems?

Analyzing log files is a common and effective method for detecting web attacks within organizational systems. Log files contain records of events that occurred on the web server, including requests made by users, error messages, and information about malicious activities. By reviewing these logs, security professionals can identify unusual patterns, such as a high volume of requests from a single IP address, attempts to access unauthorized files, or repeated failed login attempts. This analysis allows the organization to spot potential threats early and take appropriate action to mitigate risks.

In contrast, analyzing hard disk boot records, using rainbow tables, and checking SAM files focus on different aspects of system management and security. Hard disk boot records are more relevant to the forensic analysis of disk integrity or boot processes, while rainbow tables are used primarily for password recovery rather than proactive attack detection. SAM files pertain to local user account data on Windows systems and do not directly relate to monitoring or identifying web-based attacks. Therefore, analyzing log files stands out as the primary method for tracking and responding to web attacks effectively.