Security Scan Report: enterprisedigitalcampaign-managemen.vercel.app

Redirected to:
https://enterprisedigitalcampaign-managemen.vercel.app/careers.html
Submitted: Completed: publiccompleted
This website contacted 21 IPs in 1 country across 10 domains to perform 26 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://enterprisedigitalcampaign-managemen.vercel.app/careers.html

Effective URL:
https://enterprisedigitalcampaign-managemen.vercel.app/careers.html
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Fake Meta account-review page on a free vercel.app subdomain that harvests name, Facebook page name, emails and phone number, with Telegram exfiltration and anti-devtools evasion; flagged by Google Safe Browsing for social engineering.

Risk Factors (6)
Brand impersonation of Meta on a non-Meta domain (vercel.app subdomain)
Google Safe Browsing Social Engineering detection
Personal-data harvesting form styled as an official Meta appeal page
Telegram bot exfiltration channel embedded in page scripts
Anti-devtools / anti-analysis JavaScript that evades inspection
Unranked subdomain on a free shared hosting platform with unknown creation date
Domain age information unavailable

Details

Page Title

Meta | Request Review

Scan Type

public

Domain Name Analysis

The domain 'enterprisedigitalcampaign-managemen.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'enterprisedigitalcampaign-managemen'. The core label 'vercel' covers 6 characters split between 2 vowels and 4 consonants. Word splitting yields 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

OQ Meta Please indicate why you believe that account restrictions were imposed by mistake. Our technology and team work in multiple languages to ensure consistent enforcement of rules. You can commun...

Page Load Overview

0.91s
Total Load Time
472 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:927 chars
Detector Agreement:90%

All Detected Languages

🇺🇸en(70%)🇩🇪de(19%)🇫🇷fr(11%)

Website Classification

Primary Category

social media network35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
35%
documentation technical
35%
technology software
32%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1192.178.183.102Google · CDNUnited States
AS15169Google LLC
1142.251.151.120Google · CDNUnited States
AS15169Google LLC
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
134.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
1142.251.152.119Google · CDNUnited States
AS15169Google LLC
2621--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15EB20629AAB0043B6D93C0E6F4F1BE59799683C7DB2695E4F6DC0112AFC6ED20D83610

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Dh6SCyU7yci7JXeS7JXex/27xdR4W2g120n+WbQQiY9juQgOpywSEQdExNUNSPzU:DOihL7J4btm+WbQtY9juQgOQw4UaQ79y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23618:PAhMAAvKKIQiBoKo8AyRIXEcwAKMBgsASwIeVUQEskbIaBhQMSSYlcVCCoIFI5AAuJANApXBAVESGAAWRFEIQwQUMGA5owLk

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:87e7ffefefefe7c3
Perceptual Hash:b38c6699669d9964
Difference Hash:4c0c101c1c180c0c
Wavelet Hash:00c3c7c7c3c7c7c3
Color Hash:070000001c0

Other Hashes

Crop Resistant:4c0c101c1c180c0c

Scan History

Scan history not available

Unable to load historical scan data