Last Login to WHM report analyzer

Analyze WHM last login reports for SSH and root access

The WHM “Last Login” report is based on the Linux last command and provides a chronological list of interactive logins to your server. Each line contains a username, terminal, remote host, login date and time, logout status, and a session duration such as \( 10+23:17 \) that represents 10 days, 23 hours and 17 minutes of activity. Turning this raw text into a structured, filterable table dramatically simplifies security reviews and audit checks.

From raw last output to a structured security view

This online analyzer takes the raw WHM last login report, parses each line and maps it into well-defined fields: server name, username, terminal, remote host, login date and time, logout status and reported duration. Internally, the tool groups each row into an object and then builds a dynamic data table from those objects. The total number of rows is simply the cardinality of the parsed records set \( N = \left| \{ r_i \} \right| \), while the total number of unique users is computed as \( U = \left| \{ u_i \} \right| \), where each \( u_i \) is a distinct username observed in the report.

You can choose whether to include system-level events such as reboot and shutdown. When these events are excluded, the focus stays on interactive user access. When they are included, you gain a full view that combines login activity with system restarts for deeper incident reconstruction.

Use cases for WHM last login analysis

A structured WHM last login report is valuable in several operational and security scenarios:

• Tracking when root or privileged users last accessed the server.
• Identifying logins from unexpected IP addresses or locations.
• Spotting abnormally long sessions where duration strings include a day counter such as \( d + h:mm \).
• Correlating user sessions with maintenance windows or deployment events.
• Building documented evidence for security audits and compliance reviews.

Because the table is exportable to CSV and Excel, you can easily move the data into your existing SIEM, ticketing or reporting systems. This makes WHM last login data a reusable source of truth rather than a one-time screen view.

How the analyzer treats durations and hosts

The raw duration field is preserved exactly as reported by the last command, for example \( (05:58) \) or \( (3+00:53) \). Internally you can interpret these as \[ T = d \times 24 + h + \frac{m}{60} \] where \( d \) is the optional day count, \( h \) is hours and \( m \) is minutes. This allows you to transform the output into hours or minutes if you export the data into a spreadsheet and perform additional calculations.

Remote hosts are preserved exactly as shown, whether they are IPv4 addresses, IPv6 addresses or hostnames. The tool also counts the number of unique remote hosts to highlight how many distinct sources have connected to the server within the captured period.

Best practices when reviewing WHM login activity

When using this analyzer, it is a good idea to paste reports from multiple points in time and regularly export them for long term storage. You can then combine exports in a spreadsheet to build trends such as the number of daily root logins or the appearance of new remote IP addresses over time. A simple count of sessions per user or per host, \( C_{user} \) or \( C_{host} \), helps identify unusual spikes: \[ C_{user}(u) = \sum_{i} [u_i = u] \] \[ C_{host}(h) = \sum_{i} [h_i = h] \] where the indicator expressions evaluate to 1 when the condition is true and 0 otherwise.

By turning WHM last login reports into consistent, exportable tables, this tool makes it easier to monitor access patterns, investigate incidents and maintain a strong security posture across any WHM server, regardless of where it is hosted in the world.