SGI Alert: Suspicious Activity from Korean IP Host
Executive Summary
- Sentry Global Intelligence (SGI) detected network activity originating from IP address 14.63.196.175, geolocated to Seoul, South Korea.
- The activity is associated with a file hash identified by VirusTotal as a small text file.
- The low reputation score and generic hash suggest possible reconnaissance or automated scanning activity.
- The business risk is currently assessed as low, but requires monitoring to detect potential follow-on activity.
- Organizations should enhance network monitoring and review access controls to mitigate potential future threats from this and similar sources.
Observed Activity (SGI Sensors)
| ObservedAt | SensorName | SourceIP | SourceASN | SourceGeo | Protocol/Port | PayloadPresence | Hash |
|---|---|---|---|---|---|---|---|
| 2025-10-05T08:26:47.685Z | 14.63.196.XXX | AS4766 | KR | tcp/ | Yes | 01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b |
On October 5, 2025, SGI sensors detected network communication from IP address 14.63.196.175. The source ASN is AS4766 (Korea Telecom), and the geolocation is Seoul, South Korea. A payload was associated with this activity and a hash was extracted. Analysis of the hash via VirusTotal indicates a small text file. The lack of malicious detections coupled with the very small size and common MD5 suggests the activity may be benign, such as a test connection or part of a broader network scan. Continuous monitoring is recommended.
Malware/Technique Overview
Based on the available data, the specific malware family is unknown. However, the identified hash corresponds to a very small text file. This, combined with the network activity, may indicate the following:
- TA0042 – Resource Development: The attacker may be performing reconnaissance activities to gather information about potential targets.
- T1595 – Active Scanning: Network scanning to identify open ports and services.
VirusTotal Snapshot
VirusTotal analysis of the identified hash (01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b) shows:
- Malicious: 0
- Undetected: 62
- Harmless: 0
VirusTotal lists aliases such as “maxima-init.lisp” and “__init__.py”, suggesting the file might be associated with initialization routines or script-related files, despite its generic hash.
Indicators of Compromise (IoCs)
| Type | Value | Confidence | FirstSeen | Notes |
|---|---|---|---|---|
| IP | 14.63.196.XXX | medium | 2025-10-05T08:26:47.685Z | AS4766 Korea Telecom |
| Hash | 01ba4719c80b6fe911b091a7c05124b64eeece964e09c058ef8f9805daca546b | high | 2025-10-05T08:26:47.685Z | SHA256 from VirusTotal |
Recommended retention period for these indicators: Monitor for 30 days.
Detection & Hunting
Splunk SPL
source=* index=* sourcetype=*
| where src_ip="14.63.196.XXX"
| table _time, src_ip, dest_ip, dest_port, eventtype, _raw
This query searches for network events originating from the identified IP address. Examine the results for unusual patterns or connections to internal resources. Be aware of potential false positives if the IP is associated with legitimate services.
Containment, Eradication & Recovery
- Isolate Affected Systems: If suspicious activity is confirmed, isolate potentially affected systems from the network to prevent further compromise.
- Block Malicious IPs: Block the identified IP address (14.63.196.175) at the firewall to prevent further communication.
- Scan for Malware: Perform a full system scan on potentially affected systems using updated antivirus and anti-malware solutions.
- Credential Reset: If compromise is suspected, reset passwords for user accounts that may have been affected.
- Communicate Incident: Inform relevant IT and leadership stakeholders about the incident and the steps being taken to contain and eradicate the threat.
- Preserve Evidence: Preserve relevant logs and system images for forensic analysis.
Hardening & Preventive Controls
- Implement Multi-Factor Authentication (MFA): Enforce MFA for all users, especially for remote access and privileged accounts (NIST CSF PR.AC-1, CIS Control 6).
- Tune Endpoint Detection and Response (EDR): Ensure EDR solutions are properly configured and tuned to detect suspicious activity and block malicious processes (NIST CSF DE.CM-1, CIS Control 10).
- Network Segmentation: Implement network segmentation to limit the lateral movement of attackers within the network (NIST CSF PR.AC-4, CIS Control 14).
- Principle of Least Privilege: Implement the principle of least privilege, granting users only the minimum necessary access rights (NIST CSF PR.AC-3, CIS Control 5).
- Patch Management: Maintain a robust patch management process to ensure that all systems are up-to-date with the latest security patches (NIST CSF ID.SC-2, CIS Control 7).
Business Impact & Risk Outlook
The observed activity currently poses a low risk to the business. However, if this reconnaissance is followed by exploitation, the impact could escalate to:
- Operational Disruption: Potential downtime of critical systems.
- Data Breach: Unauthorized access to sensitive data.
- Reputational Damage: Loss of customer trust due to security incident.
In the next 3-6 months, we anticipate an increase in automated scanning and reconnaissance activity targeting common vulnerabilities. Organizations should proactively strengthen their defenses and enhance monitoring capabilities.
Appendix
Assumptions & Data Gaps:
- Sensor name is unavailable.
- Specific protocol and port are unavailable.
- Complete payload sample is unavailable.
References:
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