Security Scan Report: sanfinco.pages.dev

Redirected to:
https://sanfinco.pages.dev/contact
Site favicon
Submitted: Sep 30, 2026, 6:02:39 AMCompleted: Sep 30, 2026, 6:03:14 AMpubliccompleted

This website contacted 6 IPs in 1 country across 4 domains to perform 15 HTTP transactions. The main domain is sanfinco.pages.dev and was registered 12 years ago.

Submitted URL: https://sanfinco.pages.dev/contact.html

Effective URL:

https://sanfinco.pages.dev/contact
Redirected

AI Security Verdict

Low Risk

Confidence: 55%

3
Risk Score

Small financial-consultancy contact page on a pages.dev subdomain. Self-branded, no credential or payment capture, no Indicators of Compromise or malware signals. Only concern is the free hosting platform and unknown age.

Risk Factors (2)
Hosted on a free shared subdomain (pages.dev); actual page creation date is unknown and could be recent
Not present in Cisco Umbrella top 1M (weak/neutral prior only)
Safety Factors (5)
Self-branded content matching its own domain, with no claim to be a different brand
No credential, password or payment capture anywhere on the page
Legitimate third-party form backend (formsubmit.co) with a same-brand destination email
No Indicators of Compromise, YARA, IDS phishing/malware, Safe Browsing or obfuscated-JS signals
Consistent, detailed business content (services, team members, physical Delhi address, LinkedIn, relevant links)
Domain age information unavailable

Details

Page Title

Contact | Sanguine Financial Consultancy

Scan Type

public

Domain Name Analysis

The domain name 'sanfinco.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'sanfinco'. Its registrable label 'pages' stretches across 5 characters split between two vowels and 3 consonants. Tokenizing the label suggests 1 word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sanfinco.pages.dev/contact.html

Page Load Overview

1.00s
Total Load Time
485 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,518 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network51% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
51%
corporate business
32%
finance banking
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.250.154.95Google · CDNUnited States
AS15169Google LLC
2104.18.67.220Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.18.66.220Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
156--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10202432194F0D8BE41DB81C19AB226589CEA8353F5082544F2AD0FFA9FF7D8DD51316E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TBv6JCuTfJyl9S5+STS95dEUwToTEuhqKkl0qfBd7UBJPTqa0bZmRLEHFz9xO0N:Vvc3pNeSrToYuhuBuJet9xOc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8910:8EOCNEQsAmGJyAQaGsi0nlEMLCGAADBB7AAgYQABkgIERMAgphpFx1BZIYBCsKq4yFAkBHA5CtWHAO2JWESKE5kLMDTwS8yi

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:ff00000000ffffff
Perceptual Hash:da42bcac3ccbc338
Difference Hash:2b91d9e1e5c1181c
Wavelet Hash:ff00000000ffffff
Color Hash:#77862d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data