Security Scan Report: v95e6-z3ocwq-b3erbu-rwwfga.pages.dev

Redirected to:
https://v95e6-z3ocwq-b3erbu-rwwfga.pages.dev/send_appeal_request
Site favicon
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 3 domains to perform 10 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://v95e6-z3ocwq-b3erbu-rwwfga.pages.dev/send_appeal_request

Effective URL:
https://v95e6-z3ocwq-b3erbu-rwwfga.pages.dev/send_appeal_request
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Analyst-vetted 'Meta Page Appeal' phishing kit impersonating Meta Business on a random pages.dev subdomain, using a fake account-suspension/48-hour appeal threat to harvest credentials.

Risk Factors (5)
Known malicious phishing kit identified by analyst-vetted kit roster
Brand impersonation of Meta on a non-Meta, unranked Cloudflare Pages subdomain
Urgency and threat-of-loss social engineering with fabricated case ID and 48-hour deadline
Deceptive appeal funnel intended to harvest business/Page credentials
Cloaking behaviour associated with the meta-page-appeal kit family
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain 'v95e6-z3ocwq-b3erbu-rwwfga.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'v95e6-z3ocwq-b3erbu-rwwfga'. Count 5 characters in 'pages' holding 2 vowels versus three consonants. Segmentation suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://v95e6-z3ocwq-b3erbu-rwwfga.pages.dev/send_appeal_request

Another page of the site in scan 3c855e7e

Page Load Overview

0.71s
Total Load Time
263 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
52%
documentation technical
49%
government public service
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2157.240.0.13Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
105--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T113A209B065B4236E5687C3F9655B63E821AE651FF2638050F6FC02B957CACD2FD23580

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:gmqOS10lNvEiVDJVAFZnu2U7cpS/BHYO86tM7nf2W++TQDn/+ATt:gmq4lNvEiVDTmu2U7cpS/ZYlf2W++EK4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22049:GA8ClGBEGCDRrRWBtIZ0GEgHAZAkULCpML6CFAhHAgR8CAqniAACoBFDWJxChIDETMkihsGWOHcdBABEriFBgNsLgm3I6yHY

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:e3c3f7dfe7e7e7e3
Perceptual Hash:e7656593989a9a98
Difference Hash:0e062c2c0e4c0c4e
Wavelet Hash:cec2c2c6e3e2e6e0
Color Hash:#40acbf

Other Hashes

Crop Resistant:0e062c2c0e4c0c4e

Scan History

Scan history not available

Unable to load historical scan data