Security Scan Report: verification-blueticks-fb25.vercel.app

Submitted: Sep 6, 2026, 2:45:19 PMCompleted: Sep 6, 2026, 2:47:42 PMpubliccompleted

Summary

This website contacted 13 IPs in 1 country across 9 domains to perform 1 HTTP transaction. The main domain is verification-blueticks-fb25.vercel.app and was registered 21 years ago.

Submitted URL: https://verification-blueticks-fb25.vercel.app/privacy-centers.html/

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Page impersonates Meta brand on an unranked Vercel subdomain without credential collection; moderate risk of phishing.

Risk Factors
Brand impersonation without legitimate brand domain
Unranked / low‑reputation domain
Unknown subdomain age on shared hosting platform
Adult‑content classifier signal
Safety Factors
No password or payment fields
No malicious Indicators of Compromise or YARA matches
No network IDS alerts
Legal pages (terms/privacy) present
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(54%)

Domain Information

The domain name 'verification-blueticks-fb25.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'verification-blueticks-fb25'. Its registrable label 'vercel' stretches across 6 characters with 2 vowels and 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://verification-blueticks-fb25.vercel.app/privacy-centers.html/

Page Load Overview

1.23s
Total Load Time
18
HTTP Requests
9
Domains
123 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,690 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content54% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
54%
documentation technical
49%
corporate business
46%
technology software
45%
government public service
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6192.178.183.139Google · CDNUnited States
AS15169Google LLC
1172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.195United States
AS16509Amazon.com, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.13.94Google · CDNUnited States
AS15169Google LLC
1104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.20.94Google · CDNUnited States
AS15169Google LLC
1142.250.154.138Google · CDNUnited States
AS15169Google LLC
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
164.29.17.195United States
AS16509Amazon.com, Inc.
1813--

Page Statistics

18
Requests
9
Unique Domains
253.3 KB
Total Size

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16DE0688F4CE0885912A0A6569DD1F02D9D8B890F5B5D5E01BCE921780FADB6A889788A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIY7YvfAbpli7vkcSYK9U3rLB3QjVb4VwULKT6jV2FOhrF/xvjVvVuB9d:hRjy7lSJS+ptciOL/xLhVG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:4cc42bd8c3ec07b58330cfb94e3ce1f8

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:86c7c7c7c3e7e7ff
Perceptual Hash:b1588e368c8f1f8d
Difference Hash:3c8e9e9e960c4cb2
Wavelet Hash:1ec2c2c2c2c2e6ff
Color Hash:#862d7d

Other Hashes

Crop Resistant:3c8e9e9e960c4cb2

Scan History

Scan history not available

Unable to load historical scan data