Security Scan Report: app.bookflow.sh

Redirected to:
https://app.bookflow.sh/trade/BTC_USD?collateral=USD
Site favicon
Submitted: Completed: publiccompleted
This website contacted 8 IPs in 3 countries across 10 domains to perform 174 HTTP transactions. The main domain is bookflow.sh and was registered 8 months ago.

Submitted URL: https://app.bookflow.sh/?ref=WYCKF

Effective URL:
https://app.bookflow.sh/trade/BTC_USD?collateral=USD
Redirected

AI Security Verdict

Moderate Risk

Confidence: 62%

4
Risk Score

Crypto prop-trading app self-branded 'Upscale' on app.bookflow.sh. Recent, unranked domain and an unverified high-yield funding offer warrant caution, but no credential/payment form, no Indicators of Compromise and no malware or phishing evidence were found.

Risk Factors (3)
Displayed product name ('Upscale') does not match the hosting domain (bookflow.sh) on an unranked, recent-registration domain
High-yield 'prop trading / funded account up to $400,000 with no KYC' offer paid for in crypto is a high-risk financial category with no verifiable corporate identity on the page
No visible legal, company or contact information supporting the claimed trading firm
Safety Factors (5)
No credential or payment form on the page (0 password, 0 disguised-password, 0 payment fields)
No Indicators of Compromise, no hunting rule malware patterns, no known phishing kit in the roster
No cross-origin credential submission or credential exfiltration; all JavaScript served from the site's own domain
Domain is 253 days old and the page serves substantive trading-application content rather than a bare credential-harvesting page
Third-party references (Google/Facebook sign-in endpoints, Sentry/PostHog telemetry) are standard SDK integrations, not brand impersonation
Domain age information unavailable

Details

Page Title

73939.1447 USD | BTC/USD

Scan Type

public

Domain Name Analysis

Within the .sh country-code top-level domain, 'app.bookflow.sh' is registered with subdomain 'app'. The second-level label 'bookflow' is 8 characters long containing three vowels alongside five consonants. Word splitting yields 2 words: book, flow. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

" upscale” Accounts Trade Tournaments Tools v BTC USD price $73,951.1 10.34% Funding -8.015% Nextfunding 94:11:51 im 5m 15m ın D “| (lb = | fi Indicators | | pyTH & stork sae ~| & & | 02 BTC-5-CRYPT...

Page Load Overview

1.72s
Total Load Time
3.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:592 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
76%
finance banking
38%
gambling betting
31%
corporate
25%

Detected Features

Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27185.178.208.226Russia
AS57724Ddos-guard Ltd
21160.202.131.221Frankfurt am Main, Hesse, Germany
AS396356Latitude.sh
21142.251.127.84Google · CDNUnited States
AS15169Google LLC
21157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2195.129.236.1Russia
AS57724Ddos-guard Ltd
213.132.50.174Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
213.135.70.216Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
21157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1748--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10DD30950391C3738F0175B7091E1755C510BB34BEEB647AD9AD80768EFE6FE8349A920

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:T9ckAuiy+4kvU9af3u0iebx/c64Jysq7vEcxdooA/O6+TZLqhMBbUxBEUuJI7QSK:T93AuiyJeicxUOvbU4Uk9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:134062:BCgTQJZMTR07UIGQFJL5KRgsS+BQNAgBCIUqACEEsCCACKAVCqFC0CSCEqFu66wAwIqI0GsiNEgxJsIsmJoZdqASACGlwlMQ

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:c347ff8303130000
Perceptual Hash:adf150a97e7aa850
Difference Hash:0b9ea32762631203
Wavelet Hash:c3efff8383330302
Color Hash:38080030000

Other Hashes

Crop Resistant:0b9ea32762631203

Scan History

Scan history not available

Unable to load historical scan data