Security Scan Report: nlgjh4avstr-bcfxsmja-0n9l1g-nlq03c.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 2 domains to perform 8 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://nlgjh4avstr-bcfxsmja-0n9l1g-nlq03c.pages.dev/appeals/submit-appeal-form/return

AI Security Verdict

High Risk

Confidence: 82%

7
Risk Score

Fake Meta 'Page Appeal' confirmation hosted on a random pages.dev subdomain, cloning Facebook branding and a 13-language selector. No form on this capture, but the page is part of an account-appeal brand-impersonation lure — do not enter credentials or reference codes.

Risk Factors (5)
Brand impersonation of Meta on a non-Meta domain (facebook.com/meta.com mismatch)
Random high-entropy subdomain on a free shared hosting platform (pages.dev)
Cloned Facebook/Meta interface with placeholder '#' links (Sign Up -> #)
Deceptive account-appeal / restriction-removal funnel with secrecy pressure
Unranked domain with no verifiable connection to the impersonated brand
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'nlgjh4avstr-bcfxsmja-0n9l1g-nlq03c.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'nlgjh4avstr-bcfxsmja-0n9l1g-nlq03c'. Count 5 characters in 'pages' containing 2 vowels alongside 3 consonants. Word splitting yields 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nlgjh4avstr-bcfxsmja-0n9l1g-nlq03c.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan 0e787451

Page Load Overview

0.35s
Total Load Time
467 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
2172.66.44.90Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.47.166Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
84--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11502709ACEA0567BEEC386DFB161BF6DB2CA149BC147A944B0F811C1C381F948D28536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gFkqRa+K0kKnh0hZwB4DuLBqiuzIal1juTdk:gFBNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8421:AQUOIQPloC9EiwS2ogJREoMwiEaGpi8gQHpIXG0M7NoKIgTdmFiADIIJZJrIHDYhAZggcXQEkBJIXEIOSknPAAQJbEVIoCQW

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:b6069c999c669e39
Difference Hash:2a8e8ccc9cdc8e86
Wavelet Hash:ff42c2c2c6c6c2c7
Color Hash:#931f3c

Other Hashes

Crop Resistant:2a8e8ccc9cdc8e86

Scan History

Scan history not available

Unable to load historical scan data