Security Scan Report: phishbowl.unm.edu

Redirected to:
http://ispo.unm.edu/phish-bowl/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 35 IPs in 2 countries across 22 domains to perform 949 HTTP transactions. The main domain is unm.edu and was registered 40 years ago.

Submitted URL: https://phishbowl.unm.edu

Effective URL:
http://ispo.unm.edu/phish-bowl/
Redirected

The Cisco Umbrella rank of the primary domain is #60,226 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 94%

0
Risk Score

Genuine University of New Mexico ISPO 'Phish Bowl' phishing-awareness page on unm.edu, with no credential or payment forms, no impersonation and no threat-intel hits.

Safety Factors (5)
Established .edu institutional domain with verifiable university name, address and phone number
Ranked in Cisco Umbrella top 100K
Page content is security-awareness education about phishing
Only a search form present; no credential or payment fields
No indicators of compromise, malware or network alerts
Domain age information unavailable

Details

Page Title

Phish Bowl :: UNM Information Security & Privacy Office | The University of New Mexico

Scan Type

public

Domain Name Analysis

The domain 'phishbowl.unm.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'phishbowl'. Its registrable label 'unm' stretches across 3 characters split between 1 vowel and 2 consonants. Segmentation suggests 2 words: un, m. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

NEW MEXICO. o UNM Information Security & Privacy Office ISPO About Areasy Contact FAQ Forms How-to Phish Bowl Programs~ Service Catalog UNM / ISPO / Phish Bowl Phish Bowl Ninety-one percent (91%...

Page Load Overview

80.53s
Total Load Time
16.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:5,730 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: spa
Method: structural

All Detected Categories

education
90%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3164.106.65.197Albuquerque, New Mexico, United States
AS3388University of New Mexico
27129.24.172.164Albuquerque, New Mexico, United States
AS3388University of New Mexico
27104.16.40.28Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
27142.251.20.97Google · CDNUnited States
AS15169Google LLC
27104.18.19.62Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
27157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2723.36.162.89Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
27104.18.22.56Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2723.212.218.26Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
27142.251.13.121Google · CDNUnited States
AS15169Google LLC
94935--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19B734C33F888307E922F65CDB1B1531F30539D6FDA07695C71E2826CABC9E911E866C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:1uoRE8kyN5+rf0to0/iB9V0VIaAvp4DUzd8zB65g0bbHNJb8Zr:1ustN5mgYni

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:73449:CAwDIpAAMyQCBIrhhRcNBAI16AAAAY+IApCAI6AcYmAoBVpRE0SThcoRCIjSKBgEykAymgVxlJE4BkYEMWZIBSAkA0MJGokF

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:00ff9f8fc7c7c3c3
Perceptual Hash:bc164343633f1c57
Difference Hash:9426323a2e2f1f8b
Wavelet Hash:00ff8f83c3c3c3c3
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data