Security Scan Report: haruhikoyamaguchi.pages.dev

Submitted: Completed: publiccompleted
This website contacted 18 IPs in 3 countries across 4 domains to perform 0 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://haruhikoyamaguchi.pages.dev/lfklp-social-security-increase-2025-announcement-dubgn/

AI Security Verdict

High Risk

Confidence: 94%

8
Risk Score

High‑risk phishing page impersonating Social Security; avoid and report.

Risk Factors (3)
Primary domain pages.dev flagged as malicious (clearfake)
Brand impersonation of Social Security on a non‑official domain
Use of generic hosting domain with low reputation
Domain age information unavailable

Details

Page Title

Social Security Increase 2025 Announcement - Haruhiko Yamaguchi

Scan Type

public

Domain Name Analysis

You're looking at domain 'haruhikoyamaguchi.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'haruhikoyamaguchi'. The second-level label 'pages' is 5 characters long containing 2 vowels alongside three consonants. It segments into 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

“Haruhiko. Yamaguchi HOME: ‘ABOUT* CONTACT’ DISCLAIMER! DMCA: PRIVACY.POLICY® “TERMS AND CONDITIONS: 'Random Posts: iMeity Christhias Arid Happy NéW Yeat-2025 Gift "Rise Up New York [Map The Unit...

Page Load Overview

184.29s
Total Load Time
N/A
Total Size

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
023.36.163.26Sweden
AS54113FASTLY
0104.21.89.211United States
AS13335CLOUDFLARENET
0172.66.169.241United States
AS13335CLOUDFLARENET
0198.50.223.48Canada
AS16276OVH SAS
0150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
023.36.163.12Unknown
AS2635AUTOMATTIC
0150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0188.114.96.3United States
AS13335CLOUDFLARENET
0142.250.186.150UnknownUnknown
0172.240.127.243UnknownUnknown
018--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T129F22A3160AD10773E5F83DD55E57318A8AEFA30DA035B7271F6A1285B98DFA01B720E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:uknaOMu2s3ZdqZUaAVkWOgh+/l/HwWwSfmBBXFUu9sfjxKrwzGJtRpLqzd0HYS6w:uOtZdap6lXBBQctRFqzd04X6tLEFZ54R

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37210:AoWEQACiMMDK6wSAInFgIS9BMBwxIl7IAFoJEPxOWKKR2BOno+ALzJAQKA9ED1JCEICIIACJAAQKCYEAhnEAl8UJAFXo0GNW

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data