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