Security Scan Report: tr-tawhid1-1-7-6-52-096-78-decode-kop-02fhiberva.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 4 countries across 14 domains to perform 97 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://tr-tawhid1-1-7-6-52-096-78-decode-kop-02fhiberva.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 68%

3
Risk Score

The site shows suspicious hosting and low reputation but lacks concrete malicious signals; treat as moderate risk.

Risk Factors (3)
Unknown subdomain age
Low domain reputation
Multiple cross‑domain redirects
Safety Factors (4)
No forms collecting credentials or payments
No malicious JavaScript or exfiltration behavior
No known malicious IoCs or kits
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal β€” credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

π“†©π“πŸ…‘π“†ͺβ˜žπ‚πŽπŒπŒπ”ππˆπ“π˜

Scan Type

public

Domain Name Analysis

The domain 'tr-tawhid1-1-7-6-52-096-78-decode-kop-02fhiberva.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'tr-tawhid1-1-7-6-52-096-78-decode-kop-02fhiberva'. Count 7 characters in 'edgeone' holding four vowels versus 3 consonants. Word splitting yields 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tr-tawhid1-1-7-6-52-096-78-decode-kop-02fhiberva.edgeone.app/

Page Load Overview

3.34s
Total Load Time
3.2 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:176 chars
Detector Agreement:50%

Website Classification

Primary Category

finance banking78% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
78%
documentation technical
47%
gambling betting
47%
healthcare medical
38%
government public service
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1946.105.222.82Lille, Hauts-de-France, France
AS16276OVH SAS
13188.114.96.3United States
AS13335Cloudflare, Inc.
13162.125.66.18Frankfurt am Main, Hesse, Germany
AS19679Dropbox, Inc.
13192.178.183.94United States
AS15169Google LLC
13172.217.208.95United States
AS15169Google LLC
13162.125.66.15Frankfurt am Main, Hesse, Germany
AS19679Dropbox, Inc.
1343.152.26.58Singapore
977--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15272949321BB14369557E1753FE3434E30395503AB068A293DAC4190CF9EBF9C5AFB98

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:YHbjC8J6DP4+wR12OPoMlghKiMiaiRiNt:YHbjDE3OPgBDYNt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16544:SeAa6VEIAJMEmPSkSE1cqsjYBgELEAEpQ8MoIUIAAgAFSBtQTCkAKREARRUAXMIIaKXA7kpyNJTABdaDF4imCxCpSIlbsFSR

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:e7e7e7e7e7e7e7e7
Perceptual Hash:f7222299dd222add
Difference Hash:4d4d4d4c4c4d4d4d
Wavelet Hash:0707070700010303
Color Hash:#406cbf

Scan History

Scan history not available

Unable to load historical scan data