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Security Scan Report: rammb-data.cira.colostate.edu

Submitted: Sep 28, 2026, 2:56:17 PMCompleted: Sep 28, 2026, 2:57:13 PMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/be62dc9d-b27e-448d-8d67-46f9c4244c09Domain and IP registration (RDAP)/api/v1/rdap/be62dc9d-b27e-448d-8d67-46f9c4244c09Certificate Transparency/api/v1/ct/rammb-data.cira.colostate.eduHow often this domain was scanned/api/v1/domain/stats/rammb-data.cira.colostate.eduScan history for this domain/api/v1/domain/history/rammb-data.cira.colostate.edu?limit=15

This website contacted 11 IPs in 1 country across 7 domains to perform 20 HTTP transactions. The main domain is rammb-data.cira.colostate.edu and was registered 13 years ago.

Submitted URL: https://rammb-data.cira.colostate.edu/tc_realtime/storm_model_data.asp?storm_identifier=ep172014

The Cisco Umbrella rank of the primary domain is #100,636 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Colorado State University CIRA/NOAA meteorological research page for Hurricane Polo data. No forms, no malware, no Indicators of Compromise. Safe to use.

Safety Factors (5)
Established .edu research domain (39 years old, university-owned)
Self-branding matches domain (RAMMB/Regional and Mesoscale Meteorology Branch at Colorado State University)
No credential or payment collection
No threat-intelligence, malware or network IDS hits
Content consistent with legitimate scientific documentation
Domain age information unavailable

Details

Page Title

RAMMB: TC Real-Time: EP172014 - Hurricane POLO

Scan Type

public

Domain Name Analysis

Domain 'rammb-data.cira.colostate.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'rammb-data.cira'. The registrable portion 'colostate' spans 9 characters holding 4 vowels versus 5 consonants. Breaking it apart gives two words: colo, state. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rammb-data.cira.colostate.edu/tc_realtime/storm_model_data.asp?storm_identifier=ep172014

Page Load Overview

3.93s
Total Load Time
820 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:45%
Script:Latin
Direction:ltr

Detection Details

Text Length:1,957 chars
Detector Agreement:80%

Website Classification

Primary Category

documentation technical69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
69%
education
45%
technology software
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10129.82.109.10Fort Collins, Colorado, United States
AS12145Colorado State University
1142.251.14.97Google · CDNUnited States
AS15169Google LLC
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
1104.18.40.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1192.178.183.94Google · CDNUnited States
AS15169Google LLC
1216.239.34.36Google · CDNUnited States
AS15169Google LLC
1142.250.154.97Google · CDNUnited States
AS15169Google LLC
1142.251.13.95Google · CDNUnited States
AS15169Google LLC
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2011--

Detected Technologies7

JQueryv2.1.3
100%
Google-AnalyticsvUniversal
100%
Cloudflare
50%
HSTS
40%
Font Awesome
40%
Google Analytics
35%
cdnjs
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B9928692C8F89A3E172203AA246837DD6C5B19BBC64A1C4671BF090D7FC1F814F1B59B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:6jGfDTT2M2YNOnwSIpjzEenUJjCK/9jCHFvSs26jCXvOlQXOF1vmREL8bESUh8+M:HSM2YNOwxivOlQXOFZAGgEFOf8dtUk4H

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20928:BIACBivgQwRSYAiFMebBSEKQQZDgHBMhJGMuKIQ6IukJkAISDSQIRLECgkpQQCwaIUEpscCURDMABQhWuIcA4FAyC2ulgxAU

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:6e63373f3f7f3f3f
Perceptual Hash:846440d1999bd9ff
Difference Hash:8a86646064e060e0
Wavelet Hash:4240361e1f1f3f1f
Color Hash:#bf4060

Other Hashes

Crop Resistant:8a86646064e060e0

Scan History

Scan history not available

Unable to load historical scan data