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

Redirected to:
https://v95e6-z3ocwq-b3erbu-rwwfga.pages.dev/appeals/submit-appeal-for...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 2 domains to perform 9 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://v95e6-z3ocwq-b3erbu-rwwfga.pages.dev/appeals/submit-appeal-form/return

Effective URL:
https://v95e6-z3ocwq-b3erbu-rwwfga.pages.dev/appeals/submit-appeal-for...
Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Random pages.dev page impersonates Meta/Facebook for Business with an appeal-confirmation flow; no credential form was captured on this page, but brand impersonation is explicit.

Risk Factors (4)
Explicit impersonation of Meta/Facebook on a non-official domain
Random subdomain on a shared hosting platform, with unknown actual creation date
Unranked domain despite claiming to be a major brand support portal
Phishing-style appeal confirmation language and reference-code warnings
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'v95e6-z3ocwq-b3erbu-rwwfga.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'v95e6-z3ocwq-b3erbu-rwwfga'. The registrable portion 'pages' spans 5 characters holding two vowels versus 3 consonants. It segments into 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://v95e6-z3ocwq-b3erbu-rwwfga.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan 3c855e7e

Page Load Overview

0.83s
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
36%
documentation technical
31%
e-commerce shopping
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
93--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E0027F9ACFA0567BEEC386DFB161BF6DB2CB149BC142A944B0F811D1C381F958D18536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gmyqRSy+K0kKnh0hZwB4DuLBqiuzIal1juTdk:gmyLNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8486:CIgwLDsP8AhCmEYxoChKSAUgALaMMOEApQAsgKB/IgEGpEoRmhdFC7GRAJRYZQWgjlOBB5hCMBQQYdhuFuAShBANYkBTkLEC

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:#741f93

Other Hashes

Crop Resistant:2a0e0c0c1c1c0c06

Scan History

Scan history not available

Unable to load historical scan data