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Security Scan Report: sadieswehrlep.pages.dev

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Submitted: Nov 24, 2025, 3:57:35 PMCompleted: Nov 24, 2025, 3:59:44 PMpubliccompleted
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Summary

This website contacted 31 IPs in 2 countries across 11 domains to perform 55 HTTP transactions. The main domain is sadieswehrlep.pages.dev.

Submitted URL: https://sadieswehrlep.pages.dev/bqtua-social-security-2025-increase-amount-2025-pppbw/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Informational site mimicking Social Security on a non‑official domain; low risk but be wary of potential misinformation.

Risk Factors
Brand impersonation (Social Security) on an unranked, non‑official domain
Safety Factors
No password, email, or payment fields in forms
No malicious Indicators of Compromise matches found
No external domains or links
Domain age information unavailable

Details

Page Title

Social Security 2025 Increase Amount 2025 - Sadie S Wehrle

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(68%)

Domain Information

Domain 'sadieswehrlep.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'sadieswehrlep'. Its registrable label 'pages' stretches across 5 characters split between 2 vowels and 3 consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sadieswehrlep.pages.dev/bqtua-social-security-2025-increase-amount-2025-pppbw/

Page Load Overview

1.48s
Total Load Time
55
HTTP Requests
11
Domains
743 KB
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-US
Text Length:3,687 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service68% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
68%
adult content
57%
healthcare medical
52%
finance banking
36%
corporate
35%

Detected Features

Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34188.114.96.3United States
AS13335CLOUDFLARENET
25104.21.43.202United States
AS13335CLOUDFLARENET
6150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4172.67.180.98United States
AS13335CLOUDFLARENET
2104.26.1.222United States
AS13335CLOUDFLARENET
2172.66.136.209United States
AS13335CLOUDFLARENET
1148.113.35.111Mumbai, Maharashtra, India
AS16276OVH SAS
13.33.130.190United States
AS16509AMAZON-02
1150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1104.21.18.46United States
AS13335CLOUDFLARENET
5531--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T116832A1016A9303532175ADDA5D9BF28AE9F6110D6064A3E73FCE12E9FC9DE442B370E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:CNfNoNJNDapNT9kCUuURy2zblksx+w1adu7EI51lVnQ4JxYGK+tWGC6F:EfTSGURHP+w1rTjnLJxYGK+tWGC6F

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86152:V8AkMTAg8BMIAYvkSDK2A0zIFAYIwaEbxBJARc1ECSAwIAGQAmpSsJmmAAgQACIwx0MpIFRAwKcERCJgwGAlQAISy4XkZC2I

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:ffffffc7878787ff
Perceptual Hash:b0c7cd36c31ccd32
Difference Hash:3266331f0f2f3f1b
Wavelet Hash:bebec983838383c3
Color Hash:#87d279

Other Hashes

Crop Resistant:3266331f0f2f3f1b,56525c6cacaa5651,8a282d59992820d4,7177a4b1b1a4c45b,33101c2c1cdc9435,99dc9c9cd8b0b4d4

Scan History

Scan history not available

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