Security Scan Report: b00j6-ec8l0f-kv2u-vfpn-tn4.pages.dev

Redirected to:
https://b00j6-ec8l0f-kv2u-vfpn-tn4.pages.dev/appeals/submit-appeal-for...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 4 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://b00j6-ec8l0f-kv2u-vfpn-tn4.pages.dev/appeals/submit-appeal-form/return

Effective URL:
https://b00j6-ec8l0f-kv2u-vfpn-tn4.pages.dev/appeals/submit-appeal-for...
Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Meta/Facebook 'Page Appeal' page on an unrelated pages.dev subdomain. Strong brand impersonation, though no credential form was captured on this confirmation step.

Risk Factors (5)
Brand impersonation of Meta/Facebook on an unrelated hosting subdomain
Fake 'Page Appeal' support workflow mimicking Meta
Randomly named, unranked pages.dev subdomain inconsistent with an official Meta property
Social-engineering language about account restrictions, appeals, and reference codes
Copied Meta/Facebook footer and product links used to appear official
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'b00j6-ec8l0f-kv2u-vfpn-tn4.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'b00j6-ec8l0f-kv2u-vfpn-tn4'. Its registrable label 'pages' stretches across 5 characters split between two vowels and 3 consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://b00j6-ec8l0f-kv2u-vfpn-tn4.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan cb8cfe4a

Page Load Overview

1.17s
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
3172.66.45.30Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.46.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
94--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14C027F9ACFA0567BEEC386DFB161BF6DB2CB149BC142A944B0F811C1C381F958D28536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gefqRp+K0kKnh0hZwB4DuLBqiuzIal1juTdk:geFNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8503:rgQQIAAiy58wADXBNIRRRUCgYSIVOuOEAIgQvSC6JQNRIm1FhlE6zNHCQSBRfEUdDJmx4UEvYU4JIEAABQZuMDBOiEmIoMqA

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:ffe7e7e7efefc3e7
Perceptual Hash:f6668c998c669a39
Difference Hash:2a0e8c4c1c1c0c06
Wavelet Hash:ffc2c2c2c6c6c0c7
Color Hash:#4e1f93

Other Hashes

Crop Resistant:2a0e8c4c1c1c0c06

Scan History

Scan history not available

Unable to load historical scan data