Security Scan Report: kpcu.com

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Submitted: Completed: publiccompleted
This website contacted 85 IPs in 4 countries across 42 domains to perform 209 HTTP transactions. The main domain is kpcu.com and was registered 25 years ago.

Submitted URL: https://kpcu.com

The Cisco Umbrella rank of the primary domain is #977,153 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 94%

0
Risk Score

Legitimate KeyPoint Credit Union website: established domain, self-branding, no phishing forms, and no malware or threat-intelligence indicators detected.

Safety Factors (5)
Well-established domain registered in 2001.
Self-branding matches the domain and official credit-union identity.
Presence of legal/privacy pages and NCUA/Equal Housing Lender disclosures.
No cross-origin credential exfiltration or suspicious JavaScript behavior detected.
Third-party scripts and redirects appear consistent with normal analytics/advertising infrastructure.
Domain age information unavailable

Details

Page Title

KeyPoint Credit Union | CA Bay Area Checking Accounts | Loans

Scan Type

public

Domain Name Analysis

Domain 'kpcu.com' uses the commercial generic top-level domain (.com). The second-level label 'kpcu' is 4 characters long containing 1 vowel alongside three consonants. It segments into two words: kp, cu. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Rates V | Locations | Appointments | Careers | Quicklinks ¥ CQ | *f Current Deals | &* Membership VAKEYPOINT CREDIT UNION Save & Spend Borrow Business Invest Resources About Your Neighborhood Calif...

Page Load Overview

7.81s
Total Load Time
8.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:10,751 chars
Detector Agreement:100%

All Detected Languages

🇺🇸en(97%)🇫🇷fr(2%)🇵🇭tl(1%)

Website Classification

Primary Category

finance banking80% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
80%
technology software
52%
government public service
26%
forum
20%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34104.16.176.2Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2118.244.18.100Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
183.174.45.189Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
17143.204.181.125Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1315.197.193.217Aws · CLOUDSeattle, Washington, United States
AS16509Amazon.com, Inc.
9142.251.20.94Google · CDNUnited States
AS15169Google LLC
876.223.81.148Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
7157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
735.161.200.178Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
7157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
20985--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17904090395F11133013B42C56AE59B697DD2D207CA0A2A81F6FD07A62F97E82FD23D5D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:K4xrUCNCm9tmqwXfO9+m7wof59jmNwCfW94nm7JowQfN9vbmKw0f09PmLaw1fFXd:S/Xbk3fAf9iTRZWgqB9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:180295:hiskKEEJwIJbAAQiYAhBgKAEYAguWR5GAmKHoYAHUSCIHIIAawgRgkBC4AnxCAAwEDEq4+OgE8hLBkWCdoABNwAIZsgQghIA

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:ffffdb9bb9ffff00
Perceptual Hash:e9dd12c44fb402ed
Difference Hash:653b333363831cab
Wavelet Hash:b19b8989b1ffc700
Color Hash:070000001c0

Scan History

Scan history not available

Unable to load historical scan data