Security Scan Report: sp29ct-melka-biz-rufin-tevro.pages.dev

Redirected to:
https://sp29ct-melka-biz-rufin-tevro.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://sp29ct-melka-biz-rufin-tevro.pages.dev/appeals/submit-appeal-form/return

Effective URL:
https://sp29ct-melka-biz-rufin-tevro.pages.dev/appeals/submit-appeal-f...
Redirected

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Cloned 'Meta for Business | Page Appeal' confirmation step hosted on an anonymous pages.dev subdomain, impersonating Meta with no legitimate tie to the brand. Avoid entering any information or sharing a reference code.

Risk Factors (5)
Impersonation of a different entity's brand (Meta) on a domain that is not Meta-owned
Page is part of a 'Page Appeal' funnel consistent with credential phishing against locked Facebook business accounts
Hosted on a free, anonymous shared-hosting subdomain whose real creation date is unknown
Domain unranked in Cisco Umbrella with negligible legitimacy score (5/100)
Footer navigation links (Sign Up -> #) are non-functional placeholders typical of cloned templates
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'sp29ct-melka-biz-rufin-tevro.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'sp29ct-melka-biz-rufin-tevro'. The second-level label 'pages' is 5 characters long containing two vowels alongside three consonants. Tokenizing the label suggests one word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp29ct-melka-biz-rufin-tevro.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan 510115b9

Page Load Overview

2.08s
Total Load Time
466 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
3188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3188.114.96.9Cloudflare · 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

T1EA02709ACEA0567BEED386DFB161BF6DB2CA149BC147A944B0F811C1C381F948D28536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gtkqRa+K0kKnh0hZwB4DuLBqiuzIal1juTdk:gtBNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8421:AQUOIQPloC9EiwS2ogJREoMwiEaGpi8gQHpIXG0M7NoKIgTdmFmADIIJZJrIHDYhAZggcXQEkBJIXEIOyknPAAQJbEVIoCQW

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:#693a78

Other Hashes

Crop Resistant:2a8e8ccc9cdc8e86

Scan History

Scan history not available

Unable to load historical scan data