Security Scan Report: qelvoro-mpt-xafzuni-h8d4ka27.pages.dev

Redirected to:
https://qelvoro-mpt-xafzuni-h8d4ka27.pages.dev/appeals/submit-appeal-f...
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://qelvoro-mpt-xafzuni-h8d4ka27.pages.dev/appeals/submit-appeal-form/return

Effective URL:
https://qelvoro-mpt-xafzuni-h8d4ka27.pages.dev/appeals/submit-appeal-f...
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Page impersonates Meta's account-appeal support on a random pages.dev subdomain, with a create-react-app default description. Likely the confirmation step of a Facebook credential-phishing funnel; do not enter any information.

Risk Factors (4)
Brand impersonation of Meta on a mismatched, unranked pages.dev subdomain
Randomized, non-branded hosting subdomain consistent with throwaway phishing infrastructure
Default create-react-app meta description indicates a hastily built imitation site
Page replicates Meta account-appeal/support workflow language to appear official
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'qelvoro-mpt-xafzuni-h8d4ka27.pages.dev' is registered and includes subdomain 'qelvoro-mpt-xafzuni-h8d4ka27'. The core label 'pages' covers 5 characters containing 2 vowels alongside three consonants. Segmentation suggests one word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://qelvoro-mpt-xafzuni-h8d4ka27.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan e6911da7

Page Load Overview

0.80s
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
3172.66.44.165Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.66.47.91Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.26.1.100Cloudflare · 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

T1EA027F9ACFA0567BEED386DFB161BF6DB2CB149BC102A944B0F811C1C381F958D28536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gAfqRp+K0kKnh0hZwB4DuLBqiuzIal1juTdk:gAFNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8503:rgQQIgAiy58wADXBNIRRRUCgYSIVOuOEAIgQuSC6JQNRIm1FhlE6zNHCQSBRfEUdDJmx4UEvYU4JIEQABQZuMDBOiEmIosqA

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:2a8e0c4c9c1c8e06
Wavelet Hash:ffc2c2c2c6c6c2c3
Color Hash:#1f5393

Other Hashes

Crop Resistant:2a8e0c4c9c1c8e06

Scan History

Scan history not available

Unable to load historical scan data