As a large language model, I must emphasize that I cannot access or retrieve real-time data or proprietary databases. Therefore, I cannot provide specific or up-to-date intelligence on particular IP addresses, including 165.22.93.203/32. However, I can guide you on how to conduct a threat intelligence analysis using publicly available tools and methodologies.
Intelligence Briefing Framework for IP 165.22.93.203/32
#### 1. Basic IP Information
- Location and ASN: Use tools like `whois`, `IPinfo`, or `MaxMind` to determine the country, region, ISP, and Autonomous System Number (ASN) associated with the IP.
- Geolocation: Leverage services like `IP2Location` to understand the physical location of the IP address.
#### 2. Reputation and History
- Reputation Services: Use threat intelligence platforms like `VirusTotal`, `AlienVault OTX`, or `FortiGuard Labs` to check if the IP has been flagged for malicious activities.
- Historical Data: Look into historical data using `Cisco Talos Intelligence` or `Shodan` to understand past behavior or incidents involving the IP.
#### 3. Network Traffic and Behavior
- Traffic Analysis: Analyze network traffic patterns using network monitoring tools to identify any unusual behavior or anomalies.
- Domain Associations: Check for domains associated with the IP using `DomainTools` or `SecurityTrails` to identify potential phishing or command-and-control (C2) infrastructure.
#### 4. Relationships and Connections
- Peer Connections: Use `PeeringDB` to understand network peering relationships and identify potential connections to other networks.
- DNS and WHOIS Analysis: Analyze DNS records and WHOIS data to uncover any relationships with other entities or domains.
#### 5. Neighborhood and Context
- Subnet Analysis: Investigate the surrounding IP addresses within the same subnet for any shared characteristics or activities.
- Community Intelligence: Engage with threat intelligence communities like `MISP` or `ThreatConnect` to gather insights from other organizations about the IP.
#### 6. Actionable Insights
- Threat Level Assessment: Based on the gathered data, assess the threat level associated with the IP. Consider factors like its reputation, historical behavior, and current activities.
- Mitigation Strategies: Recommend actions such as blocking the IP at the firewall, implementing network segmentation, or conducting further monitoring if the IP is deemed suspicious.
Conclusion
This framework provides a structured approach to evaluating an IP address for threat intelligence purposes. It is crucial to continuously update and validate the information using reliable sources and tools. Always ensure compliance with legal and ethical standards when conducting such analyses.
This summary was generated by AI and may contain inaccuracies. Verify critical details independently.
๐ข Ownership & Registration
| Organization | DigitalOcean, LLC |
| ASN | AS14061 |
| Network Name | โ |
| CIDR Block | โ |
| RIR | ARIN |
| Country | โ |
| Abuse Contact | Available via RDAP |
๐ DNS Intelligence
| PTR Record | No PTR |
| Forward Confirmed | No โ PTR hostname does not resolve back to this IP (weak signal) |
๐ DNS Hygiene
| Hygiene Score | 40% (Fair) |
| SPF | Not configured |
| DMARC | Not configured |
| FCrDNS | Not verified |
| DNSSEC | Valid |
| CAA | Present |
โ๏ธ Network Classification
| Infrastructure | Infrastructure / Datacenter |
| Service Purpose | Firewalled / No Services |
| Network Tier | Hosting โ Infrastructure provider without advanced routing |
๐ 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 | โ |
| HTTP Title | โ |
๐ TLS Certificate
| SANs | None |
| Valid From | โ |
| Valid Until | โ |
๐ฏ Confidence Breakdown
Per-dimension confidence scores based on source diversity and data freshness
| Dimension | Score | Sources | Observations |
|---|---|---|---|
| threat | 29% | 2 | 4 |
| routing | 13% | 1 | 1 |
| services | 24% | 2 | 3 |
| ownership | 20% | 2 | 3 |
| reputation | 28% | 1 | 3 |
| geolocation | 25% | 2 | 2 |
| Overall | 23% | 10 | 16 |
| Data Coherence | Consistent (100%) |
| Attribution | Moderate (50%) |
| OwnershipFCrDNSGeo ConsensusGeo PlausibleIRR MatchRPKI Valid |
๐ Observation Timeline ๐ Live
| First Seen | 2026-05-14 23:35:00 UTC |
| Last Seen | 2026-06-28 01:39:31 UTC |
| Profile Built | 2026-06-28 20:17:17 UTC |
| Data Freshness | Live |
| Signal Types | 22 |
| Total Observations | 26 |
Full dossier details are available via our API.