Security Scan Report: 4zy-592d-39ov-nsfp-2fy-ofbs.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 4 domains to perform 9 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://4zy-592d-39ov-nsfp-2fy-ofbs.pages.dev/send_appeal_request

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Analyst-vetted Meta 'Page Appeal' phishing kit on a disposable .pages.dev subdomain, impersonating Meta Business Trust & Safety with a 48-hour suspension threat to force an appeal submission.

Risk Factors (5)
Known Meta 'Page Appeal' phishing kit (analyst-vetted, HIGH confidence, 2 sightings)
Brand impersonation of Meta on a non-Meta .pages.dev subdomain
Artificial urgency and account-suspension threats to force an appeal submission
Random-character disposable hosting subdomain with no reputation
Scanner-cloaking behaviour attributed to this kit family (no visible form in this capture)
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), '4zy-592d-39ov-nsfp-2fy-ofbs.pages.dev' is registered; it also runs on subdomain '4zy-592d-39ov-nsfp-2fy-ofbs'. Its registrable label 'pages' stretches across 5 characters containing two vowels alongside 3 consonants. Tokenizing the label suggests one word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Meta : li Meta Business Suite B Privacy Center Meta. icy =r . J NAVIGATION Privacy Center Home A CRITICAL ACCOUNT VIOLATION — IMMEDIATE ACTION REQUIRED Q Search @ Your advertising account and Page ™...

Page Load Overview

0.64s
Total Load Time
226 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,637 chars
Detector Agreement:89%

All Detected Languages

🇺🇸en(99%)🇵🇹pt(1%)

Website Classification

Primary Category

social media network86% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
86%
adult content
61%
documentation technical
58%
technology software
57%
corporate business
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1188.114.96.3Cloudflare · 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.
1104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
96--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13EA20AB065B4236E569783F9651B63E821AE651FF2738050F6FC02B957CACD2FD23580

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:geoS10lNvEiVDJVAFZnuyr17QppS/BHYO86tM7D/+ATcf2W++TaDv:gemlNvEiVDTmuy57QppS/ZYgIcf2W+++

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22077:gSAFZRBKlBDXQEFAgQfIgkn6IwIeIMFghW3EAxCY6lAHCDJXjOLEBBmpiiCUAwgFKIpZQE7ATAJBCtogFDgxjqCKgBAfkQWa

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:e7656593989a9a98
Difference Hash:2e062c2c0ece4d4e
Wavelet Hash:8ec28286c3e3e7e3
Color Hash:07200000006

Other Hashes

Crop Resistant:2e062c2c0ece4d4e

Scan History

Scan history not available

Unable to load historical scan data