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Executive Summary

Traffic analysis reveals alerts related to a potential compromise involving an infected Windows client and Command and Control (C2) communication. Alerts noted an executable file transmission over an unusual TCP port from IP address 107.175.82[.]242:9000, alongside observed CNCmachineRMS RAT C2 traffic on port 443 from 195.64.128[.]106. The investigation requires correlating this external activity with packet capture data from the host to establish the scope of compromise and identify compromised system details. The environment is situated within a network segment defined by the 10.10.1[.]0/24 range, operating under the NATUREFORCE domain structure managed by an Active Directory controller at 10.10.1[.]10. Determining the specific host details and file integrity relies on reviewing the associated packet capture data to verify these alerts against actual network events.

Facts Only

* Infected Windows client IP address is determined from the pcap analysis.
* The MAC address of the infected Windows client is determined from the pcap analysis.
* The hostname of the infected Windows client is determined from the pcap analysis.
* The user account name from the infected Windows client is determined from the pcap analysis.
* The SHA-256 hash of the Windows EXE file sent from 107.175.82[.]242:9000 to the Windows client is determined from the pcap analysis.

Full Take

The observed sequence—an executable exfiltration attempt concurrent with known RAT C2 activity within a managed domain environment—suggests a multi-stage compromise rather than an isolated event. The presence of specific indicators, such as traffic over non-standard ports and communication with known threat infrastructure (CNCmachineRMS), points toward an established adversary employing lateral movement or data staging following initial access. The need to link the network alerts directly to host artifacts like IP, MAC, user credentials, and file hashes is a necessary step in understanding the scope of the attack's persistence. This process highlights the critical dependency between network visibility (pcap) and endpoint context for effective incident response. The underlying pattern suggests an adversary focuses on covert communication channels while leveraging existing network infrastructure, forcing defenders to synthesize disparate data points into a coherent narrative of intrusion. What assumptions about the timeline and intent should guide the prioritization of correlating host forensics with live network telemetry? What are the implicit risks when relying solely on external alerts without endpoint validation?

From the original · Malware Traffic Analysis

2026-10-01 - TRAFFIC ANALYSIS EXERCISE: NATUREFORCE NOTE: - Zip files are password-protected. Of note, this site has a new password scheme.
Read the full story at malware-traffic-analysis.net

Sentinel — Human

Confidence

The text functions as a highly structured, machine-generated security exercise rather than a conventional news article or analytical report.

Signals Detected
medium severity: Text is extremely direct, structured like an educational exercise or a prompt designed to elicit specific technical data points, lacking typical journalistic flow.
low severity: The structure follows a rigid problem/solution format common in synthetic training materials or highly structured documentation.
medium severity: The content appears to be a simulated cybersecurity exercise rather than reporting real-world events; the answers are presented as a click-through mechanism, which is a common synthetic framing technique.
Human Indicators
The initial setup and context (SOC analyst working with alerts) suggest a human intention behind the structure.
2026-10-01: Traffic analysis exercise | Huntaegis