Security Scan Report: orange-1.vercel.app

Submitted: Completed: publiccompleted
This website contacted 11 IPs in 1 country across 8 domains to perform 35 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://orange-1.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 98%

10
Risk Score

Phishing kit impersonating Orange on a vercel.app subdomain: fake image CAPTCHA gate leads to a credential form whose password field is disguised and exfiltrated via Telegram. Safe Browsing social-engineering hit. Do not enter credentials.

Risk Factors (7)
Credential harvesting form impersonating the Orange brand on an unrelated vercel.app subdomain
Confirmed credential exfiltration to an external channel via a Telegram bot
Disguised password field with unicode confusion evasion techniques
Google Safe Browsing social-engineering detection
Cloud-hosting tenant domain with unknown creation date and no domain reputation
Deceptive multi-step 'human verification' image puzzle preceding the login prompt
Network IDS alerts for actor-abused cloud hosting service (vercel.app) in DNS query and TLS SNI
Domain age information unavailable

Details

Page Title

Vérification Orange

Scan Type

public

Domain Name Analysis

Domain 'orange-1.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'orange-1'. Its registrable label 'vercel' stretches across 6 characters with two vowels and four consonants. Breaking it apart gives 2 words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

7.86s
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%
documentation technical
28%
technology software
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.251.156.119Google · CDNUnited States
AS15169Google LLC
3185.15.59.224United States
AS14907Wikimedia Foundation Inc.
3142.251.14.113Google · CDNUnited States
AS15169Google LLC
3142.250.154.94Google · CDNUnited States
AS15169Google LLC
3185.15.59.240United States
AS14907Wikimedia Foundation Inc.
3216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.251.150.119Google · CDNUnited States
AS15169Google LLC
3142.251.14.139Google · CDNUnited States
AS15169Google LLC
3192.178.183.94Google · CDNUnited States
AS15169Google LLC
3511--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10A72B57321550C3A616386E0B9A6A74E3019DB17EE5BE08CB6FC939D87C6CD3D92178C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3i2f0+TeNS6Z0DF78yeW+zzxeiQn7zZsAL0pWY5fKE:hDTCS6Z0DF7ohPE+A4WY5CE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17012:YmIIFOHqAAZAAEASWioHICLCkpmcEQVIEMA8AaAMUue0DYGEGtFEAiGUCCEJC6EQxwgsQRJFACREkzjC1QEEiAlAGLRUH1Bn

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:00efe7e7ffffffff
Perceptual Hash:b3334d4c7e664619
Difference Hash:10180d0d9c700800
Wavelet Hash:0007c7c7070f0f0f
Color Hash:#862d50

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data