Main orchestration occurs in main (0x40f5f0): parse command-line arguments, initialize platform and CRT (curses), load runtime settings, construct core data structures (ProcessList, Header, MainPanel, ScreenManager), and enter the main event loop. The loop repeatedly collects system metrics and processes UI events via ScreenManager_run. Data collection is staged: global system metrics are gathered first, followed by per-PID enumeration to update per-process structures.

No installer behavior detected. The binary reads and writes its configuration to user- or system-level paths. Settings are loaded from or created at HTOPRC, ~/.config/htop/htoprc, and /etc/htoprc. The code ensures required directories exist (e.g., $HOME/.config/htop). There is no persistence mechanism beyond user configuration files.

No autostart, systemd, init script, or startup persistence is observed. The program operates as a normal user-space monitoring tool, reading from /proc and sysfs. Privilege handling adapts to the effective user ID and available kernel interfaces (e.g., TASKSTATS via netlink) but there is no mechanism to elevate privileges or persist across reboots.

No obfuscation detected. The code uses conventional C with defensive programming patterns (e.g., xStrdup, xSnprintf, stack canaries). Optional runtime features are implemented via dynamic linking (dlopen/dlsym) for libsensors, allowing hardware temperature collection when the library is present.

Container-awareness checks are present (e.g., reads /proc/vz, examines container-related status fields like envID/VPid), enabling reporting adjustments in virtualized/containerized environments. No anti-analysis or anti-debugging tricks were observed beyond environment-adaptive reporting.

UI-driven runtime: the screen is drawn with a curses-based interface, panels and meters are updated on schedule, and input is processed via ncurses key handling. Metrics include per-system and per-process data (CPU, Memory, IO, etc.), with optional tree-view or hierarchical grouping and dynamic sorting. Two-stage data flow decouples metric collection from rendering to maintain responsiveness.

No outbound network traffic is observed in the analyzed code path. The only network-like API usage is kernel netlink (TASKSTATS) interactions via nl_socket_alloc, genl_ctrl_resolve, genlmsg_put, nl_send_sync, and nl_recvmsgs_default to obtain kernel accounting data locally. No sockets to remote endpoints or telemetry are present.

Collects detailed process data locally: PIDs, command names, user IDs, maps/memory data (/proc/<pid>/maps, /proc/<pid>/smaps/smaps_rollup), IO counters, and status. This data is used for local display and statistics; configuration is stored in plaintext config files under user home directories. Data is not exfiltrated by default according to visible code paths.

No cryptographic primitives detected. There is no encryption, hashing, or key management observed in the analyzed routines.

Map/provisioning data uses getpwnam/getpwuid for username lookups; there is no credential theft, password file access, or Windows credential access (the codebase is Linux-focused).

No destructive actions detected: no file deletions, no MBR or VSS tampering, no backup avoidance. The program only reads system data and writes user configuration files.

Strong build quality indicators: defensive error handling, resource cleanup, modular containers (Vector, Hashtable) with clear ownership semantics, and explicit memory management. Dynamic feature loading for libsensors demonstrates robust optional functionality without hard dependencies.

Linux-centric tool leveraging /proc and /sys for metrics, netlink for kernel TASKSTATS accounting, and ncurses for the terminal UI. Optional libsensors enables temperature readings. The code expects standard procfs layout and may adapt behavior based on privileges and container context.