Security Scan Report: ford-scotiabank.ph

Redirected to:
http://ford-scotiabank.ph/go/Shopping/?a=7810392893&d=ford-scotiabank....
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 1 country across 5 domains to perform 9 HTTP transactions. The main domain is ford-scotiabank.ph.

Submitted URL: http://ford-scotiabank.ph/

Effective URL:
http://ford-scotiabank.ph/go/Shopping/?a=7810392893&d=ford-scotiabank....
Redirected

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

Parked ParkLogic redirect page on a brand-mashup domain (ford-scotiabank.ph) with no affiliation to those brands. No forms, malware or Indicators of Compromise, but no real content either — treat redirects and any subsequent offers with caution.

Risk Factors (3)
Brand-mashup domain using two unrelated trademarks (Ford / Scotiabank) with no evident affiliation
Parked domain that funnels visitors through affiliate/click-tracking redirects to third-party 'sponsor' pages
No genuine site content — the page exists only to redirect traffic
Safety Factors (4)
No credential, login or payment form; nothing is harvested on this page
ParkLogic is a known domain-parking/monetization platform, and the redirect flow is its standard behavior
No Indicators of Compromise, YARA, Safe Browsing or IDS hits against the page or its resources
All scripts served from the site's own domain plus Google Fonts; the only cross-origin call is to the parking provider
Domain age information unavailable

Details

Page Title

Redirecting...

Scan Type

public

Domain Name Analysis

Within the Philippine country-code top-level domain (.ph), 'ford-scotiabank.ph' is registered while skipping any subdomain. The core label 'ford-scotiabank' covers 15 characters holding five vowels versus 9 consonants; bonus characters include one hyphen. Word splitting yields two words: ford, scotiabank. Expect 7 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://ford-scotiabank.ph/

Page Load Overview

0.36s
Total Load Time
97 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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

Website Classification

Primary Category

technology software59% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
59%
documentation technical
52%
government public service
48%
healthcare medical
46%
cryptocurrency blockchain
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
545.79.222.138Atlanta, Georgia, United States
AS63949Akamai Connected Cloud
1172.234.216.100Chicago, Illinois, United States
AS63949Akamai Connected Cloud
1172.232.7.47Chicago, Illinois, United States
AS63949Akamai Connected Cloud
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
95--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1203172A6110BC049B22389A637947718883C4403430AD9E5BBE5339ECFDF16543B3B5F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGpvyyCRG7Wb3bNiNwhV1xYhYeGq989F5q:nGIG7Wbf1xKY5qq9bq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1667:ADBAADgAgAEEACQACAAMIAABAAAAAAAAEABgGAgAQQAEAAAAGAAAAAAABAAAQAAAEIBAAAAEAABAgABwAAAQCCEAABAAAFAg

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:8100013d3d8101ff
Perceptual Hash:aa2af42cdf03f42c
Difference Hash:4555156971154141
Wavelet Hash:ff0101bd998181ff
Color Hash:#d22d9b

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data