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Security Scan Report: docoesekfmz.pages.dev

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Submitted: Nov 26, 2025, 8:22:01 AMCompleted: Nov 26, 2025, 8:23:59 AMpubliccompleted
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Summary

This website contacted 77 IPs in 4 countries across 16 domains to perform 36 HTTP transactions. The main domain is docoesekfmz.pages.dev.

Submitted URL: https://docoesekfmz.pages.dev/posts/lvcq-social-security-payment-schedule-2024-for-ssi-payment-schedule

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

Site impersonates Social Security and links to a malicious domain; high‑risk phishing site.

Risk Factors
Malicious external domain reference
Social Security brand impersonation
New/unranked domain
Presence of malicious Indicators of Compromise
Garbled OCR text targeting users
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule 2024 For Ssi Payment Schedule - Christopher Tindal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'docoesekfmz.pages.dev' is registered with subdomain 'docoesekfmz'. The second-level label 'pages' is 5 characters long split between 2 vowels and three consonants. Segmentation suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://docoesekfmz.pages.dev/posts/lvcq-social-security-payment-schedule-2024-for-ssi-payment-schedule

Page Load Overview

3.10s
Total Load Time
36
HTTP Requests
16
Domains
1.4 MB
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:3,007 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%
news/blog
60%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19188.114.96.3United States
AS13335CLOUDFLARENET
2142.250.186.131United States
AS15169GOOGLE
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2172.67.71.34United States
AS13335CLOUDFLARENET
1172.66.43.121United States
AS13335CLOUDFLARENET
1142.250.186.170United States
AS15169GOOGLE
1142.250.74.193United States
AS15169GOOGLE
1172.240.127.244United States
AS7979SERVERS-COM
1160.153.0.38United States
AS209242Cloudflare London, LLC
146.229.172.197Netherlands
AS39572DataWeb Global Group B.V.
3677--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T177B21BBB564D35363ADA52CCD2217F8DAA2B4E31D663894DFBE891046F80DF5C31604E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:7Sv+yLErxS0CQDNGTQ1VogDag46OQql1gXo:7SvVd0CQDNGXgDag46OQqlCY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25588:cSUQOcwxUQDl8ForICzesMEkowAhAPYQIUpFk42CIAuMEDTEFRGAsGUEBU0gCCo4IDYXEYaKAMBCoDOYZyoAUuHddgAQtCCB

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:ff38000000ffffff
Perceptual Hash:8242b5bd2f2e9d94
Difference Hash:64d0c1c1e9330f1f
Wavelet Hash:ff00000000ffffff
Color Hash:#798fd2

Other Hashes

Crop Resistant:64d0c1c1e9330f1f,219191b1e224628e,e0d8d8e0c4c1e1cc

Scan History

Scan history not available

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