Security Scan Report: www.wharfdc.com

Submitted: Jan 6, 2026, 1:51:27 AMCompleted: Jan 6, 2026, 1:56:08 AMpubliccompleted
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Summary

This website contacted 22 IPs in 3 countries across 16 domains to perform 58 HTTP transactions. The main domain is wharfdc.com and was registered NaN years ago.

Submitted URL: https://www.wharfdc.com/upcoming-events/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Official brand domain matches known organization
No credential or payment collection
Domain age information unavailable

Details

Page Title

Upcoming Events | The Wharf DC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

download file sharing

(95%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.wharfdc.com' is registered and includes subdomain 'www'. The core label 'wharfdc' covers 7 characters with one vowel and six consonants. Word splitting yields two words: wharf, dc. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.wharfdc.com/upcoming-events/

Page Load Overview

2.75s
Total Load Time
28
HTTP Requests
7
Domains
9.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:2,478 chars
Detector Agreement:100%

Website Classification

Primary Category

download file sharing95% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

download file sharing
95%
entertainment media
86%
real estate property
77%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7216.239.32.36United States
AS15169GOOGLE
352.20.214.135Ashburn, Virginia, United States
AS14618AMAZON-AES
13.160.132.124United States
AS16509AMAZON-02
1216.239.34.36United States
AS15169GOOGLE
1157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
154.231.140.232Ashburn, Virginia, United States
AS16509AMAZON-02
1184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1142.250.184.228United States
AS15169GOOGLE
118.66.102.11United States
AS16509AMAZON-02
2822--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A46328F7136059E2C0E013C47EB6729D6A34B48BB4F14490B75E8E65AF92EF30973A16

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:O4rK4rVbDzG63QmL8grQ+wJpA5XSkoAIp63QmL8JZGkOz53YYkhrT4/wBi:dpDwvAMAI9C2hcF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:68059:AACwBjbOCqZwAoAhQy4A5BSrADEgAoI2Q4qnQTtiEAnnbGAQeJIEYIgwEIMIAYAQgEG4PJpA6CkGYAnGnCVIZBwAQpZdidAo

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:0000ff070103ffff
Perceptual Hash:a24ad52b3b947acc
Difference Hash:3de3b13f2bcfcc8c
Wavelet Hash:0000ff070307ffff
Color Hash:#785f3a

Scan History

Scan history not available

Unable to load historical scan data