Security Scan Report: t-mobile.yelva.cc

Submitted: Jan 14, 2026, 9:40:12 PMCompleted: Jan 14, 2026, 9:41:58 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is t-mobile.yelva.cc and was registered NaN years ago.

Submitted URL: https://t-mobile.yelva.cc/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate placeholder site with no apparent threats.

Safety Factors
Default nginx page indicates no malicious content
Absence of login, payment, or data collection forms
No external links or redirects
Domain age information unavailable

Details

Page Title

Welcome to nginx!

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

technology software

(29%)

Domain Information

You're looking at domain 't-mobile.yelva.cc' on the .cc country-code top-level domain; it also runs on subdomain 't-mobile'. The second-level label 'yelva' is 5 characters long holding two vowels versus 3 consonants. Tokenizing the label suggests 2 words: y, elva. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://t-mobile.yelva.cc/

Page Load Overview

0.86s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:291 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software29% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.67.180.74United States
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AEF0029BF3402117B88343013CB36A213B5403E40314CB6578C70DD6DF2A923F427574

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:haxnp/ILjFBt0FSMpsvZJD64xxaboR1XKCf0ktEjo+Y/lNQd30UlNRVxWUOj:haRpEF7D6GJ+tsvXD05oP/l8kUlj7Wbj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:612:AAAgAAAAgAAAgAAAAAAAAAAAAAAAAAAAAAAAAgAAAAAAAIAAAgACAABAAAAgAAAAIACEAAAAAAAAQAAAAAABAAABAAAAAAAA

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:c7c7ffffffffffff
Perceptual Hash:b33333333389cccc
Difference Hash:1c1c000000000000
Wavelet Hash:c7c7ffff00000000
Color Hash:#633a78

Other Hashes

Crop Resistant:1c1c000000000000

Scan History

Scan history not available

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