Security Scan Report: security-bitget.app

Redirected to:
https://www.bitget.com/
Submitted: May 2, 2026, 8:43:21 PMCompleted: May 2, 2026, 8:45:06 PMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 8 HTTP transactions. The main domain is bitget.com and was registered NaN years ago.

Submitted URL: https://security-bitget.app/

Effective URL: https://www.bitget.com/Redirected

AI Security Verdict

Moderate Risk

Confidence: 94%

5
Risk Score

The site impersonates Bitget using an unranked domain and triggers a high‑severity phishing IDS alert; treat as high‑risk brand impersonation and avoid.

Risk Factors
Brand impersonation via meta tags
Unranked, unrelated domain name
High‑severity phishing IDS alert
Redirect chain to brand domain
Potential typosquatting (security-bitget.app)
Safety Factors
Final URL resolves to legitimate www.bitget.com
Domain age is >20 years (8489 days)
No malicious Indicators of Compromise detected
No JavaScript malware patterns
No credential or payment forms on the page
Established domain (8489 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Website Access Blocked

This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.

Page Title

Just a moment...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(52%)

Domain Information

The domain 'security-bitget.app' uses the application-focused generic top-level domain (.app) without a subdomain. Its registrable label 'security-bitget' stretches across 15 characters containing five vowels alongside nine consonants, along with one hyphen. Breaking it apart gives 3 words: security, bit, get. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://security-bitget.app/

Page Load Overview

13.92s
Total Load Time
158
HTTP Requests
12
Domains
4.0 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:3,608 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software52% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
52%
cryptocurrency blockchain
50%
download file sharing
39%
finance banking
38%
documentation technical
38%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
41104.18.95.41United States
AS13335Cloudflare, Inc.
39104.18.9.145United States
AS13335Cloudflare, Inc.
39188.114.96.3United States
AS13335Cloudflare, Inc.
39192.0.78.27San Francisco, California, United States
AS2635Automattic, Inc
1584--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T165E2C623AA54132F3113C7AD7391F585A3316A019F1AB3B7F55453B49F8D1AE2A2338B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:dx+FqvLh8Oh8XMVk9vjaKObveaIFEmLJkbZCXamx9XX2wicDiYci1v:SwDmsSaKObveaIFEmLJkbZCXpnFTqKv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33797:VHJUUahGXUEMAKhCuAFjlNAQQAYsAQCVQABqBFAXMFiLEwaHSEEEE0CFSQrNxGQIUYiQRKgAXKjk2KZwjboCCAFQlXACUMDr

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:ffcfc3c7c3c3c7ff
Perceptual Hash:b138cfc4c3c666c6
Difference Hash:101c161e1e161608
Wavelet Hash:fec6c2c6c2c2c2e6
Color Hash:#d2ca2d

Other Hashes

Crop Resistant:101c161e1e161608

Scan History

Scan history not available

Unable to load historical scan data