As a large language model, I cannot provide real-time or specific intelligence briefings or access to external databases or tools to gather information on IP addresses. However, I can guide you on how to approach generating an intelligence briefing for an IP address like 34.38.13.53/32. Hereβs a structured approach you might consider:
Intelligence Briefing Template for IP 34.38.13.53/32
#### 1. Overview
- IP Address: 34.38.13.53/32
- Location: Based on the IP range, this falls within the United States, specifically in the Virginia region.
- Organization: Use tools like WHOIS, IP geolocation databases (MaxMind, IPinfo), and IP intelligence platforms (such as ThreatConnect or Anomali) to determine the organization owning this IP.
#### 2. Profile and History
- Ownership: Identify the organization or individual associated with the IP. This can be done through WHOIS records or IP intelligence tools.
- Purpose: Determine the typical use of this IP (e.g., corporate, educational, government). This can provide context for its activities.
- Past Incidents: Search security databases or reports (e.g., AlienVault OTX, MISP) for any past incidents or associations with malicious activities.
#### 3. Observation History
- Traffic Patterns: Analyze network traffic logs if available to understand typical traffic patterns and any anomalies.
- Malicious Activity: Check for any reports of malicious activity associated with this IP in threat intelligence feeds.
- Behavior: Look for patterns in behavior that might indicate compromise, such as unusual outbound traffic or connections to known malicious domains.
#### 4. Relationships
- Communication: Identify any known communication with other IP addresses, especially those flagged as malicious.
- Domain Associations: Check for any domains hosted on this IP that might be associated with phishing or malware distribution.
#### 5. Neighborhood Data
- Subnet Analysis: Examine other IPs within the same /32 subnet for any patterns or shared characteristics that might indicate a network of interest.
- Geolocation: Confirm the physical location and any nearby known entities or organizations that might provide additional context.
#### 6. Threat Intelligence Narrative
- Summary: Provide a concise summary of the findings, highlighting any potential threats or areas of concern.
- Actionable Insights: Suggest actions for the SOC team, such as monitoring specific traffic patterns, blocking certain domains, or conducting a deeper investigation if anomalies are detected.
#### 7. Recommendations
- Monitoring: Implement continuous monitoring of traffic from or to this IP.
- Blocking/Filtering: Consider blocking or filtering traffic if malicious activity is confirmed.
- Further Investigation: If suspicious activity is detected, conduct a more thorough investigation, possibly involving incident response teams.
Conclusion
This template provides a structured approach to gathering and analyzing information about an IP address. For actionable intelligence, itβs crucial to use a combination of automated tools and manual analysis to ensure a comprehensive understanding of the IPβs activities and potential threats. Always ensure compliance with legal and ethical guidelines when conducting such analyses.
This summary was generated by AI and may contain inaccuracies. Verify critical details independently.
π’ Ownership & Registration
| Organization | Google LLC |
| ASN | AS396982 |
| Network Name | β |
| CIDR Block | 34.38.0.0/16 |
| RIR | ARIN |
| Country | β |
| Abuse Contact | Available via RDAP |
π DNS Intelligence
| PTR | 53.13.38.34.bc.googleusercontent.com |
| Forward Confirmed | Yes β FCrDNS verified |
| Forward Hostnames | 53.13.38.34.bc.googleusercontent.com |
π DNS Hygiene
| Hygiene Score | 100% (Excellent) |
| SPF | Present |
| DMARC | Present |
| FCrDNS | Verified |
| DNSSEC | Valid |
| CAA | Present |
βοΈ Network Classification
| Infrastructure | Infrastructure / Datacenter |
| 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 | 37% | 4 | 6 |
| services | 20% | 2 | 3 |
| ownership | 24% | 3 | 4 |
| reputation | 24% | 1 | 3 |
| geolocation | 30% | 2 | 3 |
| Overall | 26% | 14 | 23 |
| Data Coherence | Consistent (100%) |
| Attribution | High (100%) |
| OwnershipFCrDNSGeo ConsensusGeo PlausibleIRR MatchRPKI Valid |
π Observation Timeline π Live
| First Seen | 2026-05-07 23:04:16 UTC |
| Last Seen | 2026-06-27 04:35:55 UTC |
| Profile Built | 2026-06-27 22:42:14 UTC |
| Data Freshness | Live |
| Signal Types | 32 |
| Total Observations | 39 |
Full dossier details are available via our API.