Security Scan Report: wjimam.com

Redirected to:
https://1240theticket.com/
Site favicon
Submitted: Sep 26, 2026, 10:26:10 AMCompleted: Sep 26, 2026, 10:27:32 AMpubliccompleted

This website contacted 310 IPs in 11 countries across 189 domains to perform 1094 HTTP transactions. The main domain is 1240theticket.com and was registered 15 years ago.

Submitted URL: https://wjimam.com

Effective URL:

https://1240theticket.com/
Redirected

The Cisco Umbrella rank of the primary domain is #603,566 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate Lansing sports radio station (1240 The Ticket, formerly WJIM 1240). Self-branded content, no credential or payment forms, and no Indicators of Compromise, YARA, IDS or reputation hits. The cross-domain redirect is a rebrand, not phishing.

Safety Factors (5)
Page displays its own brand consistently across title, meta, OG tags and logo header
No credential-harvesting or payment collection anywhere on the page
No threat-intelligence, YARA, IDS or Safe Browsing hits against the page or its resources
Standard commercial radio infrastructure: established ad networks, consent management (IAB TCE), permutive/ad-serving scripts
Named editorial staff and hosts plus corporate/legal pages (EEO, accessibility, data rights) are typical of a licensed broadcaster
Domain age information unavailable

Details

Page Title

1240 The Ticket – Sports Talk All Day – Lansing Sports Radio

Scan Type

public

Domain Name Analysis

The domain name 'wjimam.com' uses the commercial generic top-level domain (.com). Its registrable label 'wjimam' stretches across 6 characters with two vowels and 4 consonants. Tokenizing the label suggests three words: w, j, imam. Median word length is one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wjimam.com

Page Load Overview

5.41s
Total Load Time
15.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,819 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media56% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
56%
news media journalism
28%
corporate
25%
forum
20%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
167184.86.103.199Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3216.152.143.250Herndon, Virginia, United States
AS13768Aptum Technologies
3184.86.103.202Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3192.178.183.95Google · CDNUnited States
AS15169Google LLC
318.245.31.100Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3172.64.152.243Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.250.154.97Google · CDNUnited States
AS15169Google LLC
3157.240.0.63Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3104.18.41.30Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.14.154Google · CDNUnited States
AS15169Google LLC
1094310--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T161847E33B2C0157B96A78388E38A7E047199A277D0C38A50F6CDDD0817CEAED756257E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:5o+rYsGVQ3zslBzThVuwwmUK3XqathZGdH1W0JUpAMbQgHVz8PRrjxlXc15UCJi/:DzeJP3YrKAjwqT7D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:384537:BAGK4AIWnROQYAxDVNoBoACUVBREkGJlAgI4QE5xwAIMmATKAJVUFEFBACAwRxOQDGIgEiQzp2oQDEMAiPoFIMUYxgi0Q0AJ

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

Scan History

Scan history not available

Unable to load historical scan data