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Security Scan Report: teichmannzentgraf.pages.dev

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Submitted: Feb 27, 2026, 9:21:49 PMCompleted: Feb 27, 2026, 9:23:01 PMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 15 domains to perform 1 HTTP transaction. The main domain is teichmannzentgraf.pages.dev and was registered NaN years ago.

Submitted URL: https://teichmannzentgraf.pages.dev/tchmnnrni-social-security-payments-september-2025-calendar-zntgrfydd/

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Informational page about Social Security; not a phishing site but domain is new and untrusted.

Risk Factors
Subdomain on a free hosting platform with unknown age
Unranked domain referencing a high‑value government service
Potential brand mismatch (Social Security) without official branding
Safety Factors
No credential or payment forms detected
No malicious Indicators of Compromise matches
No JavaScript malware or suspicious scripts
No redirects or cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Social Security Payments September 2025 Calendar - Teichmann Zentgraf

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(39%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'teichmannzentgraf.pages.dev' is registered and includes subdomain 'teichmannzentgraf'. The core label 'pages' covers 5 characters split between 2 vowels and 3 consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://teichmannzentgraf.pages.dev/tchmnnrni-social-security-payments-september-2025-calendar-zntgrfydd/

Page Load Overview

2.42s
Total Load Time
38
HTTP Requests
16
Domains
1.8 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:2,759 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service39% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
39%
corporate
35%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14108.167.156.41Ashburn, Virginia, United States
AS31898Oracle Corporation
246.229.172.197Netherlands
AS39572DataWeb Global Group B.V.
2104.20.23.96United States
AS2635
2188.114.96.3United States
AS13335Cloudflare, Inc.
2216.58.206.65United States
AS15169Google LLC
2150.171.28.10United States
AS8075Microsoft Corporation
2134.209.45.143Clifton, New Jersey, United States
AS14061DigitalOcean, LLC
2192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
2104.16.150.108United StatesUnknown
2209.59.168.98United States
AS32244Liquid Web, L.L.C
3813--

Detected Technologies10

WordPressv6.4.2
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
PHP
50%
MySQL
50%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11903F73260AA10373A5F83E8D1957328A968E625C7039F7679FC72A45FC8DF200B765D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Vy24OMu4C0kZdqZUaAVkW8ghnAyFNYgRllccof90fNt1DkBwDzGx9yoKdfZqDYK:g2ZZdap6//lZNDkBszGx9yoKlZQYK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39008:QBMKkQHJRLDIQPdASSCci6JAMGAWUQEgFhImIwaLYQmFwAVcWRWBEFBAWBAKsIAFI6QFDwUBzIAAMCiHgMEhEYWuEaNECBdF

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:ff00405a0000ffff
Perceptual Hash:9040bf83becc27b6
Difference Hash:c29486b2bcd4746d
Wavelet Hash:ff00505a0a00ffff
Color Hash:#6f3a78

Other Hashes

Crop Resistant:c29486b2bcd4746d,c3b0dccaceee7e6e,d09ca6b2b2b4dcd4

Scan History

Scan history not available

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