Security Scan Report: www.indexxjjo.vercel.app

Redirected to:
https://indexxjjo.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 14 IPs in 2 countries across 7 domains to perform 11 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.indexxjjo.vercel.app/

Effective URL:
https://indexxjjo.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 94%

9
Risk Score

Fake 'Webmail' login on a free vercel.app subdomain that harvests email passwords and exfiltrates them via an embedded Telegram bot token; obfuscated JS plus phishing IDS alerts confirm credential theft.

Risk Factors (6)
Credential-harvesting form (1 email field + 1 password field) on a free hosting subdomain
Telegram bot token embedded in page script for exfiltrating submitted data
Obfuscated JavaScript with hex/unescape encoding and eval() calls
IDS phishing-landing and obfuscation alerts (HIGH severity)
Phishing threat-intel report against the primary domain; unranked in Cisco Umbrella
Page mimics a webmail provider login while running on an unrelated, unknown-age hosting subdomain
Domain age information unavailable

Details

Page Title

Webmail

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.indexxjjo.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'www.indexxjjo'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside four consonants. Segmentation 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 http://www.indexxjjo.vercel.app/

Page Load Overview

1.59s
Total Load Time
183 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:134 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism41% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
41%
healthcare medical
39%
finance banking
38%
government public service
37%
phishing scam
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.20.95Google · CDNUnited States
AS15169Google LLC
0151.101.129.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
045.43.142.3United Kingdom
AS16276OVH SAS
034.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1114--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B1523B7A54B3845F713344EBF79A3B493A409E17E084C9543BDC53849FC9A6AE4A1BCC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:DMCVIy+SFkPaIQIQANcUmyXC8LZ8SpUiJjMPWPL61LrkrCTLESoZeRiHmLEahHMV:D/SSFecb8HMP8W1Lrk2TLEfrGaMCAYT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13547:AFIgBJQCYAAkBFT0NCMBBRAlyENSAEmFMQAwAGk4LQBKgU0KEDTEAgBkYUG+xhCoIAo8t4rAwwC0QEgoBYBVAAgo6GFqGyro

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:3c3c1c1800000000
Perceptual Hash:9999ce6666319939
Difference Hash:6868b03004100000
Wavelet Hash:fcfcfcfc00000000
Color Hash:#e0da6c

Other Hashes

Crop Resistant:6868b03004100000

Scan History

Scan history not available

Unable to load historical scan data