Security Scan Report: sherryspellegrinoe.pages.dev

Submitted: Nov 19, 2025, 1:52:18 AMCompleted: Nov 19, 2025, 1:56:06 AMpubliccompleted
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Summary

This website contacted 61 IPs in 5 countries across 14 domains to perform 42 HTTP transactions. The main domain is sherryspellegrinoe.pages.dev.

Submitted URL: https://sherryspellegrinoe.pages.dev/nmdmy-new-social-security-for-2025-increase-otizn/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Site impersonates Social Security on a suspicious, unranked domain – high‑risk phishing.

Risk Factors
Brand impersonation of Social Security on an unrelated domain
Unranked, newly created domain
Use of sensational claim (Social Security increase) to attract clicks
Domain age information unavailable

Details

Page Title

Social Security For 2025 Increase - Robert T Thomas

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

You're looking at domain 'sherryspellegrinoe.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'sherryspellegrinoe'. Count 5 characters in 'pages' with two vowels and 3 consonants. Segmentation suggests one word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sherryspellegrinoe.pages.dev/nmdmy-new-social-security-for-2025-increase-otizn/

Page Load Overview

144.77s
Total Load Time
42
HTTP Requests
14
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:780 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software80% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
80%
documentation technical
53%
adult content
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
0104.17.157.22United States
AS13335CLOUDFLARENET
0150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0188.114.97.3United States
AS13335CLOUDFLARENET
0104.21.3.64United States
AS13335CLOUDFLARENET
03.160.150.102United States
AS16509AMAZON-02
046.32.255.216Leeds, England, United Kingdom
AS20738Heart Internet limited
0192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
076.223.67.189United States
AS16509AMAZON-02
0104.21.18.46United States
AS13335CLOUDFLARENET
0188.114.96.3United States
AS13335CLOUDFLARENET
4261--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DA232B3350D904372A8F83DED5A1730DE9E7AA16CA030A2677FC19686FC4EF644A715E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:lHCyCzCsCHnLZdapzq/FrAZkLRWL74mSTIZHDdNpBedyxLZACHedFUOPR9ORMMoj:lHCyCzCsCH7ap5ETIJDdNpBMEOCHevRV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47290:CyCABmdCmYoGCgQhA1QEqxUEG1AgBmg0SeJh9KtgkAMcMARN4jBPAEC0wEIaGoSgBABCoAIIQgZACAHtljsVCRUoVkOoUEKr

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:ff0000ffffffc7c7
Perceptual Hash:b24f30cdcfb0c532
Difference Hash:0cc1cd32328f8f8f
Wavelet Hash:e70000bfcfc3c3c7
Color Hash:#2d45d2

Scan History

Scan history not available

Unable to load historical scan data