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Security Scan Report: safeguard-online-peach.vercel.app

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/a93a7a0c-f76a-4369-b673-da3c72e7c325Domain and IP registration (RDAP)/api/v1/rdap/a93a7a0c-f76a-4369-b673-da3c72e7c325How often this domain was scanned/api/v1/domain/stats/safeguard-online-peach.vercel.appScan history for this domain/api/v1/domain/history/safeguard-online-peach.vercel.app?limit=15
This website contacted 3 IPs in 1 country across 1 domain to perform 22 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://safeguard-online-peach.vercel.app/telegram.html

AI Security Verdict

Confirmed Scam

Confidence: 90%

9
Risk Score

Fake 'Telegram Web' QR-login page on a vercel.app subdomain, flagged by Safe Browsing for social engineering and reported as phishing — a session-hijack lure.

Risk Factors (5)
Brand impersonation of Telegram on a mismatched, unranked vercel.app subdomain
Google Safe Browsing Social Engineering detection (2 instances)
Primary domain reported as phishing by threat intelligence
QR device-linking page designed to hijack Telegram account sessions
Free shared-hosting subdomain with unknown creation date
Domain age information unavailable

Details

Page Title

Telegram Web

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'safeguard-online-peach.vercel.app' is registered and includes subdomain 'safeguard-online-peach'. The core label 'vercel' covers 6 characters with two vowels and 4 consonants. Splitting it apart reveals 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

O Log in to Telegram by QR Code 1. Open Telegram on your phone 2. Go to Settings > Devices > Link Desktop Device 3. Point your phone at this screen to confirm login LOG IN BY PHONE NUMBER

Page Load Overview

2.02s
Total Load Time
236 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:189 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network67% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
67%
technology software
34%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
864.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
764.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
7216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
223--

Detected Technologies5

Open-Graph-Protocolvwebsite
100%
Node.js
50%
Vercel
40%
HSTS
40%
Express
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1969209A381F04527A107C3ADBAE0F71D1B15E08BCB964B1171AE4AF85FC3DE5D827654

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2Ns3cHtYkH3KWiniWJtNRw8G1lqp9XL+n3EGZH5inZwNS:c/MXg3EU5GZwNS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19530:mIQCSv1jCkVIAAiJIRGIGbikIB2OQQzkQwClIuCgMNSEUCwhEmfcmABplPgI4QoEIAwFhoBvAGADBZB7hgSKkACQYkNmA1dx

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:e7e7e7e7e7ffffff
Perceptual Hash:e6669299999999cc
Difference Hash:0c4d0d0c0c000000
Wavelet Hash:04040404273f0303
Color Hash:N/A

Other Hashes

Crop Resistant:0c4d0d0c0c000000

Scan History

Scan history not available

Unable to load historical scan data