Security Scan Report: selfie-tool.app

Submitted: Dec 31, 2025, 2:57:34 AMCompleted: Dec 31, 2025, 2:58:52 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 20 HTTP transactions. The main domain is selfie-tool.app and was registered NaN years ago.

Submitted URL: https://selfie-tool.app/expire/

AI Security Verdict

Safe Website

Confidence: 80%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No credential or payment collection forms
No known malicious Indicators of Compromise
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

No Internet

Scan Type

public

Language

🇺🇸

English

(71% confidence)

Category

unknown

(0%)

Domain Information

The domain 'selfie-tool.app' uses the application-focused generic top-level domain (.app) and has no subdomain. The second-level label 'selfie-tool' is 11 characters long split between five vowels and five consonants, plus one hyphen. It segments into 3 words: self, ie, tool. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://selfie-tool.app/expire/

Page Load Overview

11.92s
Total Load Time
8
HTTP Requests
5
Domains
231 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:71%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:71%
Script Type:Latin
Text Length:18 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2142.251.208.14United States
AS15169GOOGLE
2185.233.166.235Dallas, Texas, United States
AS398256AS-ULTAHOST
2146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
84--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F7C3187A1BEB1D35901734289F0F61C8DE31914F6A1AD8A83E5C73E85F9DE2401A5FB4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:fz+1jzWUNnb5RDDrR77dhi+SO87LdiH1My8UU:fz+1jzWUNnbDDrR77dhgO87sHQ/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:119474:gwirkACMAgLHVAAAQB6qDND2yAFlUIAiIkhgCEQaADQBwMMlSQ0VcARwMxFDT0GhIQQoZAShEBEYZiUBGAVEj2kACAAwUBiA

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:ffc3c7ffffffffff
Perceptual Hash:b030cccecfc73331
Difference Hash:2014142000000000
Wavelet Hash:0400000cf0f0f0f0
Color Hash:#87c595

Other Hashes

Crop Resistant:2014142000000000

Scan History

Scan history not available

Unable to load historical scan data