Security Scan Report: orange-1.vercel.app

Submitted: Sep 30, 2026, 10:50:41 AMCompleted: Sep 30, 2026, 10:51:17 AMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Confirmed Orange credential-phishing page on a free vercel.app subdomain: fake bot-check leads to an Orange-branded login form whose password/email are exfiltrated via JavaScript to Telegram.

Risk Factors (6)
Brand impersonation of Orange on a non-Orange domain
Credential exfiltration to external Telegram bot / cross-origin POST to ipapi.co (geolocation of victim)
Disguised password field (type=text with password placeholder) and Unicode evasion
Deceptive fake CAPTCHA gate used to establish trust before credential capture
Subdomain on a free hosting platform (vercel.app) with unknown actual creation date
Network IDS alerts flagging the abused cloud hosting service domain
Domain age information unavailable

Details

Page Title

Vérification Orange

Scan Type

public

Domain Name Analysis

You're looking at domain 'orange-1.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'orange-1'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside four consonants. Splitting it apart reveals two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://orange-1.vercel.app/

Page Load Overview

0.81s
Total Load Time
1.2 MB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:fr
Text Length:442 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing scam43% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

phishing scam
43%
government public service
33%
adult content
30%
technology software
28%
documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.251.154.119Google · CDNUnited States
AS15169Google LLC
3185.15.59.224United States
AS14907Wikimedia Foundation Inc.
3142.251.110.113Google · CDNUnited States
AS15169Google LLC
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
3185.15.59.240United States
AS14907Wikimedia Foundation Inc.
3216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.251.153.119Google · CDNUnited States
AS15169Google LLC
3142.250.154.100Google · CDNUnited States
AS15169Google LLC
364.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3510--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16E72B57311550C3A616386E0B9A2AB4E3019DB17EE5BE08CB6FC939D87C6CD3D92178C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7i2f0FF0SZD7bTeNpyeW+zzxeiQn7zZsAL0pWY5fKE:tiF0SZD7bTC7hPE+A4WY5CE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17010:dIRYiJDQYGZwBMJAjpUBAQIzDQwYBmGgAQDBQUB2CGK4IGMRUEXAEWC8AdljAZLESsYACggQCZAZoROhiMAGoggAgRQjwwgk

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:00ffe7e7ffffffff
Perceptual Hash:b3334c4c7973664c
Difference Hash:10180d0898600800
Wavelet Hash:0000c0c0c0f0f0f0
Color Hash:#d23d2d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data