Security Scan Report: sso-bb-oauth---bitgett.gitbook.io

Submitted: Nov 14, 2025, 2:36:28 AMCompleted: Nov 14, 2025, 2:37:16 AMpubliccompleted
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Summary

This website contacted 12 IPs in 0 countries across 4 domains to perform 47 HTTP transactions. The main domain is sso-bb-oauth---bitgett.gitbook.io.

Submitted URL: https://sso-bb-oauth---bitgett.gitbook.io/us/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Impersonates Bitget login on an unranked GitBook subdomain – high risk phishing.

Risk Factors
Brand impersonation on an unranked, newly created subdomain
Suspicious subdomain name suggesting SSO/OAuth login for Bitget
Lack of official Bitget domain in URL
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Bitget Login | Bitget Official Website | us

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(42%)

Domain Information

You're looking at domain 'sso-bb-oauth---bitgett.gitbook.io' on the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'sso-bb-oauth---bitgett'. The core label 'gitbook' covers 7 characters with 3 vowels and 4 consonants. It segments into 3 words: g, it, book. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sso-bb-oauth---bitgett.gitbook.io/us/

Page Load Overview

11.77s
Total Load Time
47
HTTP Requests
4
Domains
3.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:973 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software42% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
42%
cryptocurrency blockchain
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14172.64.146.167UnknownUnknown
3104.18.40.68UnknownUnknown
3104.18.41.89UnknownUnknown
3172.64.147.209UnknownUnknown
3172.64.147.188UnknownUnknown
3104.18.40.47UnknownUnknown
32a06:98c1:3101::ac40:93bcUnknownUnknown
32606:4700:4408::6812:2844UnknownUnknown
32606:4700:4402::ac40:93d1UnknownUnknown
32606:4700:4404::6812:2959UnknownUnknown
4712--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14CC3E91E6104F2065EF3DE14637ABE39809ED66B9B78C4ADF30ED9A5178813B07B2D50

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:GfsxMAyavvtYdJ2Ktmyxd8qXBh+q3nRvIOuP1lJ7EA6UFWh2+wTGVOCc0jjRqg/m:+3gQAa3xF/SZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:122084:TDDwIBAKgSUAAIEio4cMlAbECQSSLHiEUiLRfkhghAIslAAjAT8qvFSZkTMQKVCioQTLF4UdOJhhYE6oFQ4LgABCRUYMSAgN

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:ffffffc3c3c3c3c3
Perceptual Hash:b0dbce3164308bcf
Difference Hash:0d0c96868e9e9696
Wavelet Hash:c7c3c3c3c3c3c383
Color Hash:#8ebf40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data