Security Scan Report: vormela-kxt-zarveta-r9t6fc13.pages.dev

Site favicon
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 5 domains to perform 9 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://vormela-kxt-zarveta-r9t6fc13.pages.dev/send_appeal_request

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Analyst-vetted Meta 'Page Appeal' phishing kit: fake Trust & Safety suspension notice on a disposable pages.dev host, demanding an urgent appeal. Do not enter credentials; report it.

Risk Factors (5)
Confirmed phishing kit fingerprint on the page's JavaScript (Meta Page Appeal family)
Impersonation of Meta's brand and Trust & Safety messaging on a domain Meta does not own
Artificial urgency: 48-hour suspension deadline, 'immediate action required', account-disablement threats
Disposable reverse-proxy-style hostname engineered to look like a session identifier rather than a brand domain
Known anti-analysis cloaking behavior in this kit family
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'vormela-kxt-zarveta-r9t6fc13.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'vormela-kxt-zarveta-r9t6fc13'. The second-level label 'pages' is 5 characters long with two vowels and 3 consonants. Word splitting yields 1 word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vormela-kxt-zarveta-r9t6fc13.pages.dev/send_appeal_request

Another page of the site in scan ae09a95e

Page Load Overview

0.82s
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
52%
documentation technical
49%
government public service
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4188.114.97.9Cloudflare · 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.
1188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
96--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T126A21AB065B8236E568783F9651B63E821AE651FF2738050F6FC02B957CACD2FD23580

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:gAoS10lNvEiVDJVAFZnuyr17qpS/BHYO86tM7b/+ATcf2W++TaDv:gAmlNvEiVDTmuy57qpS/ZY8Icf2W+++j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22074:gYAU5gBstDjnSHCFCAHwm1ESIggHIQEuiCkHdhoIuVaSKoYEoGICCBpURAvywQCBAAgTIQqCNgYBCYgBUCjkzqDAWlFakDWT

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:2e062c2c0e4c4c4e
Wavelet Hash:8ec28286c3e3e7e3
Color Hash:#2dd24e

Other Hashes

Crop Resistant:2e062c2c0e4c4c4e

Scan History

Scan history not available

Unable to load historical scan data