Security Scan Report: wr7n8-0j5-nizz-3ys48-02-10-2026-aa.pages.dev

Redirected to:
https://wr7n8-0j5-nizz-3ys48-02-10-2026-aa.pages.dev/send_appeal_reque...
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Submitted: Sep 29, 2026, 12:45:43 AMCompleted: Sep 29, 2026, 12:47:28 AMpubliccompleted

This website contacted 5 IPs in 2 countries across 4 domains to perform 15 HTTP transactions. The main domain is wr7n8-0j5-nizz-3ys48-02-10-2026-aa.pages.dev and was registered 35 years ago.

Submitted URL: https://wr7n8-0j5-nizz-3ys48-02-10-2026-aa.pages.dev/qaz-wsx-edc-rfv?welcome=1153610167841270&token248=1153610167841270&name_token136=Jema%20Technics%20BV

Effective URL:

https://wr7n8-0j5-nizz-3ys48-02-10-2026-aa.pages.dev/send_appeal_reque...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Known Meta Page Appeal phishing kit impersonates Meta on a pages.dev subdomain, using urgent account-suspension threats to lure users into a fake appeal flow.

Risk Factors (5)
Brand impersonation of Meta on a non-Meta domain
Known malicious phishing kit identified by analyst-vetted roster
Urgency and threat of permanent suspension
Shared hosting subdomain with unknown page creation date
Unranked domain not in Cisco Umbrella top 1M
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 'wr7n8-0j5-nizz-3ys48-02-10-2026-aa.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'wr7n8-0j5-nizz-3ys48-02-10-2026-aa'. The second-level label 'pages' is 5 characters long containing two vowels alongside three consonants. Splitting it apart reveals one word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://wr7n8-0j5-nizz-3ys48-02-10-2026-aa.pages.dev/qaz-wsx-edc-rfv?welcome=1153610167841270&token248=1153610167841270&name_token136=Jema%20Technics%20BV

Page Load Overview

5.36s
Total Load Time
3.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,801 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network87% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
87%
technology software
59%
documentation technical
49%
adult content
48%
government public service
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.44.76Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.66.47.180Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3157.240.0.13Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
155--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12D4162354541D5AD52A3A6F1BDA07B6DEAEED70CEF1B9C04B1EC23D907C0E64CC0A410

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:T3kspX++qEyC7R2Km01o9loXCH4ieKXomfvaY4sgY4McY4S:TUsJ+myC7RS9QCYiRXom34y4MJ4S

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2197:AJAAEAAAAACISZAAEAgAAgEBSAoMAAAgACABACIoAAAgAQIAAAIBAgAABAAAAACIgAAAgBIAAAAAAQAAAAAAEIAgASAQEAQA

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:e3f3fffff0f0f0f0
Perceptual Hash:ecb96d64b1b36248
Difference Hash:0307033824242424
Wavelet Hash:c1c1e1fff0f0d0d0
Color Hash:#ac7a53

Other Hashes

Crop Resistant:0307033824242424

Scan History

Scan history not available

Unable to load historical scan data