IPDebrief

165.22.93.203

IP Intelligence Dossier
Your IP: 216.73.216.123
{ } JSON ๐Ÿ”ง Full Actions API
๐Ÿค– Witness AIThis summary was generated by AI and may contain inaccuracies. Verify critical details independently.

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.

๐ŸŒ Geolocation

Country๐Ÿ‡ฉ๐Ÿ‡ช Germany
RegionHesse
CityBad Homburg
TimezoneEurope/Berlin
Latitude50.12
Longitude8.68

๐Ÿข Ownership & Registration

OrganizationDigitalOcean, LLC
ASNAS14061
Network Nameโ€”
CIDR Blockโ€”
RIRARIN
Countryโ€”
Abuse ContactAvailable via RDAP

๐ŸŒ DNS Intelligence

PTR RecordNo PTR
Forward ConfirmedNo โ€” PTR hostname does not resolve back to this IP (weak signal)

๐Ÿ” DNS Hygiene

Hygiene Score40% (Fair)
SPFNot configured
DMARCNot configured
FCrDNSNot verified
DNSSECValid
CAAPresent

โ˜๏ธ Network Classification

InfrastructureInfrastructure / Datacenter
Service PurposeFirewalled / No Services
Network TierHosting โ€” Infrastructure provider without advanced routing
CloudHosting

๐Ÿ”Œ Services & Open Ports

PortServiceProtocolBanner
No open ports detected
Closed Ports22, 25, 80, 443, 3389, 8080, 8443 (0 open / 7 scanned)
Serverโ€”
HTTP Titleโ€”

๐Ÿ” TLS Certificate

๐Ÿ”’
No certificate
Issued by โ€”
N/A
SANsNone
Valid Fromโ€”
Valid Untilโ€”

๐ŸŽฏ Confidence Breakdown

Per-dimension confidence scores based on source diversity and data freshness

DimensionScoreSourcesObservations
threat
29%
24
routing
13%
11
services
24%
23
ownership
20%
23
reputation
28%
13
geolocation
25%
22
Overall23%1016
Coverage: 6/6 dimensions ยท Data sufficiency: sufficient
Data CoherenceConsistent (100%)
AttributionModerate (50%)
OwnershipFCrDNSGeo ConsensusGeo PlausibleIRR MatchRPKI Valid

๐Ÿ“… Observation Timeline ๐Ÿ”„ Live

First Seen2026-05-14 23:35:00 UTC
Last Seen2026-06-28 01:39:31 UTC
Profile Built2026-06-28 20:17:17 UTC
Data FreshnessLive
Signal Types22
Total Observations26
๐Ÿ” 22 signal types ยท 26 observations collected
This report is generated from 22+ independent intelligence signals including ownership records, DNS analysis, BGP routing, TLS certificates, port scanning, threat feeds, behavioral fingerprinting, and more.
Full dossier details are available via our API.
{ } JSON API ๐Ÿ”ง Actions API ๐Ÿ“ง Enterprise Access

โ„น๏ธ About This Report

All data shown is publicly available network metadata โ€” IP addresses do not reliably identify individuals. Assessments are probabilistic and should not be used as sole basis for access control decisions. To report an issue or request data review, contact admin@ipdebrief.com.