Combined execution of lspci (VGA and 3D controller extraction and device count) and nvidia-smi -q (product name extraction and non-empty count validation), together with kernel/architecture (uname -s -v -n -r -m) and uptime collection. This pattern reflects cross-validation of GPU presence using both PCI-level and NVIDIA driver-level queries, enriched with host system context.

Execution of uname -s -v -n -r -m to collect kernel and architecture details, uptime -p for system uptime, lspci queries to extract and count VGA-class PCI devices, and nvidia-smi -q filtering for product name to identify NVIDIA GPU models. This pattern reflects layered GPU identification using both PCI enumeration and NVIDIA driver-level queries, combined with basic host system metadata collection.

Execution of uname -s -v -n -r -m to retrieve kernel and architecture details, uptime -p for human-readable system uptime, and lspci | grep VGA | cut -f5- -d ' ' to extract VGA-class PCI device information. This pattern reflects lightweight host profiling combined with basic GPU identification.

Execution of uname -s -v -n -r -m to collect kernel and architecture details, uptime -p for human-readable system uptime, and lspci queries to extract VGA-class PCI device descriptions and count the number of VGA devices. This pattern reflects PCI-level GPU identification combined with basic host system metadata collection.

Identifies SSH sessions where the actor performs structured hardware reconnaissance including CPU core enumeration, GPU detection via nvidia-smi, VGA/3D controller inspection via lspci, system uptime queries, and kernel/architecture fingerprinting to assess computational capabilities of the compromised host.