Security Scan Report: invoices.fundthrough.com

Redirected to:
https://invoices.fundthrough.com/signin
Site favicon
Submitted: Sep 30, 2026, 6:19:25 PMCompleted: Sep 30, 2026, 6:20:36 PMpubliccompleted

This website contacted 41 IPs in 3 countries across 29 domains to perform 85 HTTP transactions. The main domain is invoices.fundthrough.com and was registered 14 years ago.

Submitted URL: https://invoices.fundthrough.com

Effective URL:

https://invoices.fundthrough.com/signin
Redirected

The Cisco Umbrella rank of the primary domain is #257,252 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

FundThrough's own invoice-account sign-in page on its 12-year-old domain. Self-branded, same-origin form, no threat-intel hits; the text-type password field is the site's toggle-visibility feature, not credential harvesting.

Safety Factors (5)
Established domain age (12 years, 2014 registration)
Self-branding: page presents FundThrough's own brand on FundThrough's own domain
Same-origin login form with no cross-origin submission
No Indicators of Compromise, YARA, IDS or Safe Browsing hits
Third-party vendors referenced (Intuit, OpenInvoice) are named integrations, not impersonated brands
Domain age information unavailable

Details

Page Title

FundThrough

Scan Type

public

Domain Name Analysis

You're looking at domain 'invoices.fundthrough.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'invoices'. The second-level label 'fundthrough' is 11 characters long with three vowels and eight consonants. Segmentation suggests two words: fund, through. Average segment length settles at 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://invoices.fundthrough.com

Page Load Overview

4.19s
Total Load Time
3.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,297 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
84%
finance banking
60%
government public service
31%
corporate business
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.20.43.217Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
218.245.31.100Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2172.217.208.95Google · CDNUnited States
AS15169Google LLC
2172.217.114.4Google · CDNUnited States
AS15169Google LLC
2192.178.183.94Google · CDNUnited States
AS15169Google LLC
2172.66.174.206Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.217.118.4Google · CDNUnited States
AS15169Google LLC
2172.217.115.4Google · CDNUnited States
AS15169Google LLC
2172.217.116.4Google · CDNUnited States
AS15169Google LLC
2172.217.119.4Google · CDNUnited States
AS15169Google LLC
8541--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15D93B671A0C0317F6D23426ED7C4DE08B23AD9E3AE8E679A764D854007C73E92A6753D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:dyhv9iNntPosgumqm489R+ri9lOogTs9Lhdp:ddNntPosgumqmITs9Hp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:96186:CjCAGC8IAgSEBFbaI1CRIEAhoAkIQAm5AQBEqghAUgYERQZkCBwYU/+kCBYIFGhQKAMIqgYzlABiCPFGEAwJShGsNEGgAgAA

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:fffffdffff8f0000
Perceptual Hash:d8af56b946383946
Difference Hash:8061391ac11939e4
Wavelet Hash:fdbf888ffc8f0000
Color Hash:#6a2d86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data