Security Scan Report: hw68k-fdh-xmbb8-gizslf-ic2ht.pages.dev

Redirected to:
https://hw68k-fdh-xmbb8-gizslf-ic2ht.pages.dev/send_appeal_request
Site favicon
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 5 domains to perform 10 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://hw68k-fdh-xmbb8-gizslf-ic2ht.pages.dev/send_appeal_request

Effective URL:
https://hw68k-fdh-xmbb8-gizslf-ic2ht.pages.dev/send_appeal_request
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

9
Risk Score

Confirmed Meta Page Appeal phishing kit on a disposable pages.dev subdomain, impersonating Meta Trust & Safety with fake 48-hour suspension threats to harvest business credentials.

Risk Factors (5)
Known malicious Meta 'Page Appeal' phishing kit identified by two independent JS fingerprints
Brand impersonation of Meta on an unrelated pages.dev subdomain
Fear-and-urgency social engineering ('permanent suspension within 48 hours')
Disposable hosting platform subdomain with unknown creation date
Cloaking-related external IP lookup infrastructure
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), 'hw68k-fdh-xmbb8-gizslf-ic2ht.pages.dev' is registered; it also runs on subdomain 'hw68k-fdh-xmbb8-gizslf-ic2ht'. Count 5 characters in 'pages' containing two vowels alongside three consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://hw68k-fdh-xmbb8-gizslf-ic2ht.pages.dev/send_appeal_request

Another page of the site in scan 1012d939

Page Load Overview

1.06s
Total Load Time
224 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,634 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network85% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
85%
adult content
54%
technology software
50%
documentation technical
48%
government public service
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.66.44.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1157.240.0.13Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.66.47.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
106--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T107A21AB065B8236E568783F9655B63E821AE651FF2738050F6FC02B957CACD2FD23580

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:geoS10lNvEiVDJVAFZnuyr17lpS/BHYO86tM7e/+ATcf2W++TaDv:gemlNvEiVDTmuy57lpS/ZYNIcf2W+++j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22074:CYAFpIBOtmjVGLXHCIH4o1ggImoGAAEGyDCHUhoouVSaKoYAkoICYBpURCtWwYAFEAoToQqCNh4BCwgBFTzAiiFKnlFckGeZ

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:c3c3d7dfe7e7e7e3
Perceptual Hash:e76d6583989a9a98
Difference Hash:2e062c2c0e4e4cce
Wavelet Hash:8e820287e3e3e7e3
Color Hash:#763a78

Other Hashes

Crop Resistant:2e062c2c0e4e4cce

Scan History

Scan history not available

Unable to load historical scan data