As a large language model, I cannot access or interact with external systems, including real-time databases or networks. Therefore, I'm unable to provide specific intelligence on an IP address like 34.38.22.65/32. However, I can guide you on how to approach gathering and analyzing threat intelligence for an IP address. Here's a structured method you can follow, typically used by security operations centers (SOCs):
**Data Collection:**
- Passive DNS and WHOIS Lookup:
- Gather historical and current DNS records and WHOIS information to identify domain names associated with the IP and registration details.
- Reputation Services:
- Use threat intelligence platforms (TIPs) like VirusTotal, AbuseIPDB, or IBM X-Force to assess the reputation and known activities of the IP.
- Network Traffic Analysis:
- Capture network traffic for any activity associated with the IP to identify patterns, protocols, and potential anomalies.
- Log Analysis:
- Review firewall, IDS/IPS, and other security logs for any past interactions with the IP.
**Analysis:**
- Behavioral Analysis:
- Determine the behavior of the IP in terms of frequency, timing, and type of connections. Look for patterns that may indicate malicious activity.
- Contextual Analysis:
- Examine the context of any identified domains or services associated with the IP. Are they known for hosting malware, phishing sites, or other malicious content?
- Geolocation:
- Determine the geographic location of the IP to assess if it's from a region with known cyber threats.
**Relationships and Network Mapping:**
- Peer Analysis:
- Identify other IPs or domains frequently communicating with the IP in question to map out potential relationships.
- Infrastructure Mapping:
- Map the network infrastructure and hosting environment of the IP to identify potential vulnerabilities or points of exploitation.
**Threat Intelligence Narrative:**
- Summary:
- Provide a concise summary of findings, including any known malicious activities or reputational issues.
- Actionable Insights:
- Suggest actions such as blocking the IP, monitoring for specific traffic patterns, or conducting deeper investigations into associated domains.
- Risk Assessment:
- Assess the level of risk posed by the IP based on the gathered intelligence and analysis.
**Continuous Monitoring:**
- Establish a continuous monitoring strategy to track any changes in the behavior or reputation of the IP over time.
For a SOC analyst, this structured approach will help in understanding the potential threat posed by an IP address and in making informed decisions regarding security measures. Always ensure compliance with legal and organizational policies when conducting such analyses.
This summary was generated by AI and may contain inaccuracies. Verify critical details independently.
๐ข Ownership & Registration
| Organization | Google LLC |
| ASN | AS396982 |
| Network Name | โ |
| CIDR Block | 34.38.0.0/16 |
| RIR | ARIN |
| Country | โ |
| Abuse Contact | Available via RDAP |
๐ DNS Intelligence
| PTR | 65.22.38.34.bc.googleusercontent.com |
| Forward Confirmed | Yes โ FCrDNS verified |
| Forward Hostnames | 65.22.38.34.bc.googleusercontent.com |
๐ DNS Hygiene
| Hygiene Score | 100% (Excellent) |
| SPF | Present |
| DMARC | Present |
| FCrDNS | Verified |
| DNSSEC | Valid |
| CAA | Present |
โ๏ธ Network Classification
| Infrastructure | Infrastructure / Datacenter |
| Service Purpose | Firewalled / No Services |
| Network Tier | Tier 3 โ Basic operator with some routing infrastructure |
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 | 24% | 2 | 4 |
| routing | 40% | 4 | 8 |
| services | 20% | 2 | 3 |
| ownership | 22% | 3 | 4 |
| reputation | 28% | 1 | 3 |
| geolocation | 39% | 2 | 3 |
| Overall | 29% | 14 | 25 |
| Data Coherence | Mostly Consistent (80%) โ 1 contradiction(s) |
| Attribution | High (85%) |
| OwnershipFCrDNSGeo ConsensusGeo PlausibleIRR MatchRPKI Valid |
๐ Observation Timeline ๐ Live
| First Seen | 2026-05-13 06:38:22 UTC |
| Last Seen | 2026-06-27 22:49:31 UTC |
| Profile Built | 2026-06-28 16:53:42 UTC |
| Data Freshness | Live |
| Signal Types | 31 |
| Total Observations | 39 |
Full dossier details are available via our API.