Security Scan Report: prwkk-ei9-gy2j-jzj70-23-09-2026-hh.pages.dev

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Submitted: Sep 27, 2026, 12:45:34 PMCompleted: Sep 27, 2026, 12:47:27 PMpubliccompleted

This website contacted 4 IPs in 1 country across 2 domains to perform 8 HTTP transactions. The main domain is prwkk-ei9-gy2j-jzj70-23-09-2026-hh.pages.dev and was registered 9 years ago.

Submitted URL: https://prwkk-ei9-gy2j-jzj70-23-09-2026-hh.pages.dev/appeals/submit-appeal-form/return/

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Analyst-vetted Meta 'Page Appeal' phishing kit hosted on an unranked pages.dev subdomain, impersonating Meta's business appeal flow to harvest account credentials. Do not enter any information.

Risk Factors (5)
Known credential-phishing kit fingerprint identified by analyst-vetted kit roster
Impersonation of Meta brand on a non-Meta domain (pages.dev free subdomain)
Social-engineering lure (account appeal / 24-48h review / reference code warning) typical of credential harvesters
Multiple language selectors cloned from Meta to appear authentic
Unranked domain with no legitimate association to Meta
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'prwkk-ei9-gy2j-jzj70-23-09-2026-hh.pages.dev' is registered and includes subdomain 'prwkk-ei9-gy2j-jzj70-23-09-2026-hh'. The second-level label 'pages' is 5 characters long holding 2 vowels versus three consonants. Word splitting yields 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://prwkk-ei9-gy2j-jzj70-23-09-2026-hh.pages.dev/appeals/submit-appeal-form/return/

Page Load Overview

1.59s
Total Load Time
470 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,361 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network83% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
83%
technology software
64%
corporate business
35%
documentation technical
31%
e-commerce shopping
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
84--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166026F9ACFA0567BEEC386DFB161BB6DB2CB149BC142A944B0F811D1C381F958D18536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:MmyqRSy+K0kKnh0hZwB4DuLBqiuzIal1juTdk:MmyLNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8501:QEkgkAQIImKZfxE4ACwJrmAF8YgpBiAoA1EFGCYMADBuI1oMYgFAklABDBHSDCGVQVBTsRBgAYGgRCAJEECIM64wdERYEDzR

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:ffe7e7e7efefc2e7
Perceptual Hash:f6e68c998c668a39
Difference Hash:2a0e0c0c1c1c0c06
Wavelet Hash:ffc2c2c2c6c6c0c7
Color Hash:#ac53a3

Other Hashes

Crop Resistant:2a0e0c0c1c1c0c06

Scan History

Scan history not available

Unable to load historical scan data