As a large language model, I can't perform real-time internet searches or access live databases. However, I can guide you on how to conduct an intelligence briefing for an IP address using standard practices. Hereβs a general approach you can take to gather threat intelligence for IP 27.79.0.43/32, along with a template for creating a narrative:
Steps for Gathering Intelligence:
1. IP Lookup and Background:
- Use IP lookup services like `whois`, `ipinfo.io`, or `bgpview.io` to gather basic details such as the ISP, geographical location, and network range.
- Check threat intelligence platforms such as `AlienVault OTX`, `Mandiant Intelligence`, or `VirusTotal` for any known threats associated with the IP.
2. Historical Data and Observations:
- Access logs from your SIEM (Security Information and Event Management) system to see historical interactions with the IP address.
- Review open-source intelligence (OSINT) for mentions in forums or blogs about the IP in the context of security incidents.
3. Relationships and Network Analysis:
- Analyze network traffic data to identify patterns of communication with other IPs.
- Use tools like `Wireshark` for packet analysis to identify any unusual or suspicious traffic.
4. Neighborhood Data:
- Investigate other IPs within the same /32 subnet for any malicious activity.
- Use network mapping tools to visualize relationships and interactions.
Threat Intelligence Narrative Template:
Subject: Threat Intelligence Briefing for IP 27.79.0.43/32
Date: [Insert Date]
Analyst: [Your Name]
1. Overview:
- IP Address: 27.79.0.43/32
- ISP: [ISP Name]
- Location: [Geographical Location]
- Network Range: [Details from WHOIS/BGP]
2. Background and Context:
- Provide a brief history of the IP based on WHOIS records and any publicly available information.
3. Observations and Historical Data:
- Summarize findings from SIEM logs and any historical interactions.
- Mention any known associations with malicious activities as reported by threat intelligence platforms.
4. Relationships and Network Traffic:
- Describe any significant traffic patterns or relationships with other IPs.
- Highlight any unusual or suspicious traffic identified through packet analysis.
5. Neighborhood Data:
- Report on the activity of other IPs within the same /32 range.
- Indicate any known threats or incidents involving nearby IPs.
6. Risk Assessment:
- Assess the potential risk posed by this IP to your organization.
- Recommend actions such as blocking, monitoring, or further investigation.
7. Recommendations:
- Suggest specific actions for the SOC team to mitigate any identified risks.
- Propose any additional monitoring or analysis that might be beneficial.
8. Conclusion:
- Summarize the key points and reinforce the importance of monitoring or blocking the IP if deemed necessary.
Conclusion:
This template provides a structured approach to compiling threat intelligence. Be sure to use the latest tools and databases available to you to gather the most accurate and up-to-date information. Always ensure compliance with legal and ethical guidelines when conducting such research.
This summary was generated by AI and may contain inaccuracies. Verify critical details independently.
π’ Ownership & Registration
| Organization | IRT-VNNIC-AP |
| ASN | AS7552 |
| Network Name | VIETTEL-VN |
| CIDR Block | 27.64.0.0/12 |
| RIR | APNIC |
| Country | VN |
| Abuse Contact | Available via RDAP |
π DNS Intelligence
| PTR | localhost |
| Forward Confirmed | No β PTR hostname does not resolve back to this IP (weak signal) |
| Forward Hostnames | localhost |
π DNS Hygiene
| Hygiene Score | 20% (Poor) |
| SPF | Not configured |
| DMARC | Not configured |
| FCrDNS | Not verified |
| DNSSEC | Valid |
| CAA | Not configured |
βοΈ Network Classification
| Infrastructure | Unknown |
| Service Purpose | Firewalled / No Services |
| Network Tier | Tier 3 β Basic operator with some routing infrastructure |
π Services & Open Ports
| Port | Service | Protocol | Banner |
|---|---|---|---|
| No open ports detected | |||
| Closed Ports | 22, 25, 80, 443, 3389, 8080, 8443 (0 open / 7 scanned) | ||
| Server | β |
| HTTP Title | β |
π TLS Certificate
| SANs | None |
| Valid From | β |
| Valid Until | β |
π― Confidence Breakdown
Per-dimension confidence scores based on source diversity and data freshness
| Dimension | Score | Sources | Observations |
|---|---|---|---|
| threat | 22% | 2 | 4 |
| routing | 27% | 4 | 5 |
| services | 20% | 2 | 3 |
| ownership | 27% | 3 | 4 |
| reputation | 19% | 1 | 3 |
| geolocation | 24% | 2 | 3 |
| Overall | 23% | 14 | 22 |
| Data Coherence | Consistent (100%) |
| Attribution | High (80%) |
| OwnershipFCrDNSGeo ConsensusGeo PlausibleIRR MatchRPKI Valid |
π Observation Timeline π Live
| First Seen | 2026-05-07 23:05:38 UTC |
| Last Seen | 2026-06-25 01:05:08 UTC |
| Profile Built | 2026-06-25 01:14:39 UTC |
| Data Freshness | Live |
| Signal Types | 33 |
| Total Observations | 34 |
Full dossier details are available via our API.