Security Scan Report: claudiajennym.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 20 IPs in 4 countries across 18 domains to perform 56 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://claudiajennym.pages.dev/gphdr-social-security-cost-of-living-increase-2025-mumuz/

AI Security Verdict

High Risk

Confidence: 95%

8
Risk Score

High‑risk site due to malicious primary domain indicator; do not trust.

Risk Factors (3)
Primary domain matches known malicious Indicators of Compromise
Unranked domain with low reputation
Content appears to be deceptive and unrelated to a reputable source
Domain age information unavailable

Details

Page Title

Social Security Cost Of Living Increase 2025 - Claudia Jenny M

Scan Type

public

Domain Name Analysis

Domain 'claudiajennym.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'claudiajennym'. The second-level label 'pages' is 5 characters long with two vowels and 3 consonants. Splitting it apart reveals one word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Claudia Jenny M Explore Ideas, tips guide and info Claudia Jenny M ABOUT CONTACT DISCLAIMER DMCA HOME PRIVACYPOLICY TERMS AND CONDITIONS. Social Security Cost Of Living Increase 2025 Social Secur...

Page Load Overview

5.66s
Total Load Time
3.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:4,745 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical54% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
54%
news media journalism
45%
finance banking
41%
documentation technical
36%
corporate
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1823.58.108.236Sweden
AS15169GOOGLE
2216.58.206.86Germany
AS54113FASTLY
2192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
2104.20.23.96United States
AS13335CLOUDFLARENET
2172.67.166.38United States
AS13335CLOUDFLARENET
2146.75.121.164Unknown
AS16276OVH SAS
2104.19.154.92United States
AS13335CLOUDFLARENET
2142.250.185.99Unknown
AS16509AMAZON-02
2172.66.1.220United States
AS13335CLOUDFLARENET
2146.75.120.200UnknownUnknown
5620--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BD931BE1D1D136262766834DF5D4B585BF9FB360D9010AE4B1FD860D0FD8D88AAA370B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:hfV+GapXTJFN+N4Qibc+7d3K8Wjc+7d3K8Wl8uhWJ1BM6E8WvSAc8B2rZkXiim1K:ERTtzJxYyIerrFHLxt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:96678:UhAaCoCAgjVOeAQECDQUEUeEk9cBjIkKAEAlGhiHBtEgMGC7kbgQgBUIR5hRAF0EExKKCjVbRaABPDKhAQNruPAKFBhIICJO

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:ffcfffcfc78787cf
Perceptual Hash:b8c7ce3cc13cce18
Difference Hash:220c291a9f3e3e1a
Wavelet Hash:9f87cd838383838f
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data