Security Scan Report: finlesuvr.web.app

Redirected to:
https://2026-10-27.urldance.com/en?idm-tlkom.top
Site favicon
Submitted: Completed: publiccompleted
This website contacted 12 IPs in 4 countries across 9 domains to perform 23 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://finlesuvr.web.app/

Effective URL:
https://2026-10-27.urldance.com/en?idm-tlkom.top
Redirected

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Redirects from a free hosting subdomain to an unranked domain serving a page with a disguised, username-less password field, unicode evasion, DevTools blocking and HIGH-severity *.top IDS alerts — do not enter any password.

Risk Factors (6)
Disguised password field (type='text' with password placeholder) and no username field — password harvested without an identifier
Unicode/mixed-script confusion in form fields, an evasion technique
Cross-domain redirect from a free hosting subdomain to an unrelated unranked domain
HIGH-severity IDS alerts for traffic to *.top domains described as likely hostile
Anti-analysis JavaScript blocking developer tools and view-source
Destination domain is unranked with unknown age; the entry domain's platform age is not attributable to this page
Domain age information unavailable

Details

Page Title

Page Redirection

Scan Type

public

Domain Name Analysis

The domain 'finlesuvr.web.app' uses the application-focused generic top-level domain (.app) with subdomain 'finlesuvr'. Its registrable label 'web' stretches across 3 characters containing one vowel alongside two consonants. It segments into one word: web. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://finlesuvr.web.app/

Page Load Overview

0.70s
Total Load Time
131 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:58%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:71 chars
Detector Agreement:100%
Language mismatch: Declared as en-US but detected as fr

Website Classification

Primary Category

news media journalism49% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
49%
adult content
44%
social media network
41%
technology software
38%
government public service
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.21.15.148Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1156.225.108.43Hong Kong
AS139057Edgenext Legend Dynasty Pte. Ltd.
143.174.246.36Singapore
1156.225.108.42Hong Kong
AS139057Edgenext Legend Dynasty Pte. Ltd.
1120.52.95.244China
AS133119China Unicom IP network
143.174.247.36Singapore
143.169.95.124Singapore
AS133119China Unicom IP network
114.215.183.79China
AS4134Chinanet
1156.225.108.41Hong Kong
AS139057Edgenext Legend Dynasty Pte. Ltd.
2312--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15DF020CB49E160915060610046D2F418A9420CFF96488838FA4C20D81F5A7A8A44BB58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hxzMMxCrnqJmr2xHuC9tVVjX3EdZ7XxhuNAczPxdXIgn2Hf8:hxzMMxCr8aytTjkbvMDB2k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:572:QAAAAAAAAAAAAAAACAAIAAAAAAAAAAAAAAAAAAEQAAAAAAAAAgAAAAAAEAAAgEAAAAAAAgAAAIAAAAAAAAAAAAAAABQAAAAA

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:f0f8f8f8d8d88080
Perceptual Hash:dde323c066cc9933
Difference Hash:000232323232320c
Wavelet Hash:f8f8f8f8d8d89880
Color Hash:#5b3a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data