Security Scan Report: postoffice-7hr.pages.dev

Redirected to:
https://postoffice-7hr.pages.dev/user-txt
Submitted: Apr 29, 2026, 3:32:43 PMCompleted: Apr 29, 2026, 3:33:50 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is postoffice-7hr.pages.dev and was registered NaN years ago.

Submitted URL: https://postoffice-7hr.pages.dev/user-txt.html

Effective URL: https://postoffice-7hr.pages.dev/user-txtRedirected

AI Security Verdict

Moderate Risk

Confidence: 58%

5
Risk Score

The site shows moderate risk due to an unknown‑age, unranked subdomain on a hosting platform and the presence of a form, but no malicious activity was detected.

Risk Factors
Unknown subdomain age (could be brand‑new)
Unranked domain reputation
Form on an untrusted, newly‑created subdomain
Safety Factors
No malicious JavaScript patterns detected
No credential or payment fields in the form
No cross‑origin credential exfiltration
No IDS or Suricata alerts
Domain age information unavailable

Details

Page Title

user.txt

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(55%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'postoffice-7hr.pages.dev' is registered; it also runs on subdomain 'postoffice-7hr'. The core label 'pages' covers 5 characters containing 2 vowels alongside 3 consonants. Breaking it apart gives one word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://postoffice-7hr.pages.dev/user-txt.html

Page Load Overview

0.53s
Total Load Time
3
HTTP Requests
1
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:360 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service55% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
55%
documentation technical
55%
news media journalism
30%
technology software
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.44.202United States
AS13335Cloudflare, Inc.
31--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F362833AA2F326731867713A739B16417960C107B806CD293EAC63559FD6DC0D9E3B8D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:SjHK2R3P8NvqCIOFSCxGSCp5mSChyj1mVEous7qPnWVu44h4GYF9Rb7D/5FUJW:SjHLENo5lcavdZYFz7D7d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14544:gAI1gADQDIZIAOAQpEpiZEAg4yOwh0OYAQC4eiQQEzYhmkC0kBYfkAqC0UYkBhggAoYQGRoCLFQnYpABoBkcFRDwAUg0xGiQ

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:6ffba7a7dbe7ffe7
Perceptual Hash:b333cccc8c3333cc
Difference Hash:88304c4c320c100c
Wavelet Hash:3a2b8686b9e79b84
Color Hash:#86642d

Other Hashes

Crop Resistant:88304c4c320c100c

Scan History

Scan history not available

Unable to load historical scan data