Security Scan Report: haruhikoyamaguchi.pages.dev

Submitted: Jan 1, 2026, 12:38:58 AMCompleted: Jan 1, 2026, 12:42:04 AMpubliccompleted
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Summary

This website contacted 18 IPs in 3 countries across 0 domains to perform 0 HTTP transactions. The main domain is haruhikoyamaguchi.pages.dev and was registered NaN 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
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 Information

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

Security scan screenshot of https://haruhikoyamaguchi.pages.dev/lfklp-social-security-increase-2025-announcement-dubgn/

Page Load Overview

184.29s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
023.36.163.26Sweden
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
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.

Scan History

Scan history not available

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