Observed Activity: Suspicious Traffic from Hong Kong Network

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Observed Activity: Suspicious Traffic from Hong Kong Network

Executive Summary

  • SGI sensors detected network traffic originating from IP address 42.200.78.78 in Hong Kong (ASN AS4760).
  • The traffic is associated with a low-severity JavaScript framework file named `standalone-framework.js`.
  • Initial analysis suggests potential reconnaissance or information gathering activity.
  • The business risk is currently assessed as low, but escalation is possible pending further analysis.
  • Organizations should monitor network traffic and review security configurations to prevent potential exploitation.

Given the prevalence of web-based attacks, organizations should proactively monitor for unusual JavaScript activity and regularly audit web server configurations.

Observed Activity (SGI Sensors)

ObservedAt SensorName SourceIP SourceASN SourceGeo Protocol/Port PayloadPresence Hash
2025-08-17T11:59:38.391Z [Redacted] 42.200.78.XXX AS4760 Hong Kong tcp/ Yes 01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b

On August 17, 2025, SGI sensors detected TCP traffic originating from 42.200.78.78 (ASN AS4760) in Hong Kong. The traffic contained a payload identified as a low-severity JavaScript framework file (standalone-framework.js). The specific port is unknown based on the provided data. The detection triggered a security alert due to the origin ASN and the presence of a JavaScript file potentially used for malicious purposes.

Malware/Technique Overview

The detected malware family is identified as `standalone-framework.js`. While classified as low severity, JavaScript frameworks can be leveraged for various malicious purposes, including:

  • Information gathering (e.g., browser fingerprinting, DOM manipulation)
  • Cross-site scripting (XSS) attacks
  • Redirection to malicious sites

Given the limited information, the exact initial access vector and target remain unknown, but it’s plausible the file was delivered through a compromised website or malvertising.

MITRE ATT&CK Mapping:

  • T1592 – Gather Victim Host Information
  • T1190 – Exploit Public-Facing Application
  • T1059.007 – Command and Scripting Interpreter: JavaScript

VirusTotal Snapshot

VirusTotal analysis shows the file (SHA256: 01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b) was undetected by most vendors (62 undetected, 0 malicious, 0 harmless).

Notable aliases from VirusTotal include `dependency_links.txt`, `__init__.py`, and potentially obfuscated strings like `e=0d78fe00f48f2148.tyui54345.xyz&type=5f(W`.

Links:

Indicators of Compromise (IoCs)

Type Value Confidence FirstSeen Notes
IP 42.200.78.XXX Medium 2025-08-17T11:59:38.391Z AS4760 HKT Limited
Hash 01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b High 2025-08-17T11:59:38.391Z SHA256 from VirusTotal

Recommendation: Monitor these IoCs for at least 30 days.

Detection & Hunting

Splunk SPL:

source=*network_traffic* src_ip=42.200.78.0/24 | table _time, src_ip, dest_ip, dest_port, payload_hash

Elastic/Kibana KQL:

source.ip : 42.200.78.0/24

Validate results by examining associated network logs and correlating with other security events. False positives may include legitimate traffic to/from the specified IP range; further investigation is required.

Containment, Eradication & Recovery

  1. Isolate affected systems from the network to prevent further spread.
  2. Block the malicious IP address (42.200.78.78) at the firewall.
  3. Scan systems for the presence of the identified hash (01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b).
  4. If the system is severely compromised, consider reimaging it from a known good backup.
  5. Reset any potentially compromised credentials.

Inform IT staff and leadership about the incident. Prepare a communication plan to address potential customer inquiries. Preserve all relevant logs and artifacts for forensic analysis.

Hardening & Preventive Controls

  • Implement Multi-Factor Authentication (MFA) for all critical systems (NIST CSF PR.AC-1, CIS Control 6).
  • Tune Endpoint Detection and Response (EDR) systems to detect suspicious JavaScript execution (NIST CSF DE.CM-7, CIS Control 10).
  • Implement Network Segmentation to limit the blast radius of potential compromises (NIST CSF PR.AC-3, CIS Control 14).
  • Enforce Least Privilege principles for user accounts and system access (NIST CSF PR.AC-4, CIS Control 5).
  • Maintain Patch SLAs to ensure timely patching of vulnerabilities (NIST CSF PR.IP-1, CIS Control 7).

Given the unknown destination port, ensure all unnecessary ports are closed on internet-facing servers and services. Regularly audit firewall rules to prevent unauthorized access.

Business Impact & Risk Outlook

The primary risk is potential data exfiltration or unauthorized access to systems. Reputational damage is possible if a breach occurs. Legal and regulatory risks may arise depending on the nature of the compromised data.

We anticipate an increase in JavaScript-based attacks targeting web applications over the next 3-6 months. Organizations must strengthen their web application security posture to mitigate these risks.

Appendix

Redacted Payload Snippet: (Unavailable)

Assumptions & Data Gaps:

  • Destination port of the traffic is unknown.
  • Full payload content is unavailable for detailed analysis.
  • The specific initial access vector is unknown.
  • The target system is unknown.

References:

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