Security Scan Report: app.binogi.se

Redirected to: https://app.binogi.se/login

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Submitted: Nov 26, 2025, 7:57:34 PMCompleted: Nov 26, 2025, 8:00:44 PMpubliccompleted
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Summary

This website contacted 59 IPs in 4 countries across 15 domains to perform 84 HTTP transactions. The main domain is app.binogi.se and was registered NaN years ago.

Submitted URL: https://app.binogi.se/

Effective URL: https://app.binogi.se/loginRedirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

High‑risk phishing page impersonating Microsoft, collect credentials on suspicious domain.

Risk Factors
Brand impersonation/typosquatting (Microsoft) on an unranked domain
Credential harvesting form (email + password) with hidden password field
Mismatch between displayed brand and actual domain
Domain age information unavailable

Details

Page Title

Binogi.se

Scan Type

public

Language

🇸🇪

Swedish

(26% confidence)

Category

technology software

(48%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'app.binogi.se' is registered; it also runs on subdomain 'app'. The registrable portion 'binogi' spans 6 characters with 3 vowels and three consonants. Segmentation suggests two words: bin, ogi. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.binogi.se/

Page Load Overview

0.52s
Total Load Time
84
HTTP Requests
15
Domains
2.2 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:26%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:26%
Script Type:Latin
Text Length:851 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software48% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
48%
documentation technical
42%
corporate
25%

Detected Features

Login Form
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26142.250.185.238United States
AS15169GOOGLE
2254.192.35.126United States
AS16509AMAZON-02
20142.250.185.132United States
AS15169GOOGLE
9142.250.186.163United States
AS15169GOOGLE
7104.16.126.16United States
AS13335CLOUDFLARENET
7142.250.184.195United States
AS15169GOOGLE
3104.18.189.228United States
AS13335CLOUDFLARENET
3142.251.168.84United States
AS15169GOOGLE
218.158.184.245Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
299.80.11.102Dublin, Leinster, Ireland
AS16509AMAZON-02
8459--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11FC2E836A0923227A107C8F4A1257359F953C21BDE67ADE5FAEC07B8DFC7DA00993205

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:GcAbQy/wRykhcq89W78Ipo7YFSp6KCQAXIktpOB3eV:/AbR/GwrIp8YFSp6Ks4m3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26934:AQADAYjFDAKHnSSUKwOAKGLgDAiVjRlYASoSVJocUiJcIhsywQBsgJIIDQEHASy4IkwLSBBECAMIBCAQhxkEBDNBKF8GTFDE

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:7c7c7c7e7e3c00fe
Perceptual Hash:d2832d0afd07c27d
Difference Hash:ccccccccf8c1d414
Wavelet Hash:3c3c3c3c7c3c00fe
Color Hash:#ac5378

Scan History

Scan history not available

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