Security Scan Report: theflb.com

Redirected to:
https://www.theflb.com/
Submitted: Completed: publiccompleted
This website contacted 12 IPs in 2 countries across 11 domains to perform 30 HTTP transactions. The main domain is theflb.com and was registered 14 years ago.

Submitted URL: https://theflb.com

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

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Compromised WordPress site serving a fake Cloudflare 'Human Verification' ClickFix overlay plus an injected ErrTraffic/Exvicy loader; YARA, IDS and multi-feed threat intel confirm malware delivery. Do not interact.

Risk Factors (5)
Fake Cloudflare 'Human Verification' / ClickFix overlay instructing Windows users to paste attacker PowerShell into Terminal
Obfuscated injected WordPress loader (ErrTraffic/Exvicy) decoded and executed via Function constructor
Exploit-Kit and ClickFix command domains contacted at runtime (cloudflare-check.net, interseq.at, checkyoubrowse.codes, gateway.tenderly.co)
EtherHiding exfiltration alerts (7x) and blockchain RPC abuse for payload retrieval
Compromised established domain used as malware delivery vehicle
Domain age information unavailable

Details

Page Title

Home - Financial Legacy Builders

Scan Type

public

Domain Name Analysis

You're looking at domain 'theflb.com' on the commercial generic top-level domain (.com) while skipping any subdomain. The registrable portion 'theflb' spans 6 characters with one vowel and five consonants. It segments into 3 words: the, fl, b. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://theflb.com

Page Load Overview

14.96s
Total Load Time
788 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:944 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software54% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
54%
cryptocurrency blockchain
46%
finance banking
33%
documentation technical
33%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
845.79.38.60Richardson, Texas, United States
AS63949Akamai Connected Cloud
2142.251.110.95Google · CDNUnited States
AS15169Google LLC
2172.67.70.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2150.136.141.142Oracle · CLOUDAshburn, Virginia, United States
AS31898Oracle Corporation
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
235.227.193.242Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2178.16.52.101Frankfurt am Main, Hesse, Germany
AS202412Omegatech LTD
2104.21.3.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.250.154.94Google · CDNUnited States
AS15169Google LLC
3012--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AF435063D7801B9E6B578CEE604CF25289F38167AC6A16D17C92D217E1BAA51F133F30

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RGEoNjJ5zAgVknAqPNppY3oZe09NppY3oZe0l:EjSAqf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56476:AgKBUQGBAzhIcQBo6wgZBJyAmDNiqICgdpQmgTDFIaXEGXGFBvkEiVEJIEQ3BGRF9QYlAgBJ8RQMAqUii0R0kMIk3JIRMggo

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:ffffffe7e7ffffff
Perceptual Hash:b326cc993366cc99
Difference Hash:0000000808000000
Wavelet Hash:30301008ecfcfcfc
Color Hash:#bf404d

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data