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Security Scan Report: centr.com

Submitted: Dec 11, 2025, 5:21:51 AMCompleted: Dec 11, 2025, 5:22:51 AMpubliccompleted
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Summary

This website contacted 171 IPs in 5 countries across 51 domains to perform 210 HTTP transactions. The main domain is centr.com and was registered NaN years ago.

Submitted URL: https://centr.com/

The Cisco Umbrella rank of the primary domain is #895,198 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate fitness app site with no security concerns.

Safety Factors
Established domain age (>25 years)
Official brand domain (centr.com) matches known fitness app
No malicious Indicators of Compromise detected
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Fitness App & Wellness Programs Inspired by Chris Hemsworth | Centr

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(75%)

Domain Information

The domain name 'centr.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. Count 5 characters in 'centr' split between one vowel and 4 consonants. Tokenizing the label suggests 2 words: cent, r. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://centr.com/

Page Load Overview

12.74s
Total Load Time
210
HTTP Requests
51
Domains
9.0 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:11,043 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software75% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
75%
blog personal website
73%
healthcare medical
63%
government public service
59%
education learning
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4023.36.162.7Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
123.36.162.25Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
199.84.152.71United States
AS16509AMAZON-02
1157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1216.239.32.36United States
AS15169GOOGLE
118.173.205.111United States
AS16509AMAZON-02
118.245.86.69United States
AS16509AMAZON-02
118.245.60.3United States
AS16509AMAZON-02
1172.66.147.250United States
AS13335CLOUDFLARENET
1104.18.14.138United States
AS13335CLOUDFLARENET
210171--

Detected Technologies4

Azure
50%
HSTS
40%
Azure Front Door
40%
Contentful
25%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15014F9B86350403681039ADB7876160D21AFD16BEF06FCD897F983F797C3E494826B66

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:8c1Q2eW0AXc2K1/5B18EWmTMwuFl53eHHxYZq9yOfGy6WhicLlE/1ISHpdOqHUdb:qWCUr5RRgLGZd4j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:194424:TANhIIAKEbAkAgkAEBSgxHCoSpQF9QIBXLIHooEIIwQEgSi8KKeC50GC8cYA8AmAICACxTPRopAGQAwQFCAgSQISACEIUM1g

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:78ffffe781819199
Perceptual Hash:ed96c36d104b057b
Difference Hash:f00c8c2f33332333
Wavelet Hash:00ffffe781818199
Color Hash:#9d53ac

Other Hashes

Crop Resistant:f00c8c2f33332333,9e98ebc5cd2dcd0f,0db2b30d00c2c2c0,6a5a09e9e1e1e1f5

Scan History

Scan history not available

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