Security Scan Report: higbkr.vercel.app

Submitted: Completed: publiccompleted
This website contacted 19 IPs in 1 country across 12 domains to perform 17 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://higbkr.vercel.app/m0c8mn865q9kmkq9/oewxlj34p722d2cr/kr2vd4700wtzunuk/sroh34oautzjs3gl/[email protected]

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Confirmed credential-phishing page: a password login form on an unranked vercel.app subdomain, a victim email lure in the URL, Telegram bot exfiltration, and a Google Safe Browsing Social Engineering flag.

Risk Factors (6)
Google Safe Browsing Social Engineering threat
Credential (password) login form on an unranked, throwaway-hosting subdomain
Victim email address used as a URL-path lure with a domain that does not match the host
Telegram bot exfiltration channel embedded in page script
Unranked script host on shared cloud hosting (westus3-01.azurewebsites.net)
Network IDS alerts for actor-abused cloud hosting services (vercel.app, azurewebsites.net, image.thum.io)
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

You're looking at domain 'higbkr.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'higbkr'. Count 6 characters in 'vercel' with two vowels and four consonants. It segments into 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://higbkr.vercel.app/m0c8mn865q9kmkq9/oewxlj34p722d2cr/kr2vd4700wtzunuk/sroh34oautzjs3gl/halos8@a6285d5a5a4c54e5751cae62b8761280928a.org

Page Load Overview

1.08s
Total Load Time
331 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:已下架
Text Length:219 chars
Detector Agreement:100%
Language mismatch: Declared as 已下架 but detected as en

Website Classification

Primary Category

adult content29% confidence
Type: webapp
Method: ml+structural

All Detected Categories

adult content
29%
news media journalism
29%
finance banking
27%
government public service
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1764.29.17.67Aws · CLOUDUnited States
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0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
020.118.138.137Azure · CLOUDPhoenix, Arizona, United States
AS8075Microsoft Corporation
0142.250.154.95Google · CDNUnited States
AS15169Google LLC
0172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.14.95Google · CDNUnited States
AS15169Google LLC
0142.251.155.119Google · CDNUnited States
AS15169Google LLC
1719--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16074D15BA1B910C11E07F4AC26EB66407336F11BD84ADC18FA8E778CCFC964959A27CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FzsFWxYakFfBJKQe3JdKdHIH9e1moB0Gw6kmK0dLdMFTeyAyj1gEMSUnfJI+INy6:EBBJKQe3GJDloiuedEMSoVHanxH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:348768:QBkCVFqIAAxRkjCUoCIDjbi86UBqgBAcYQMAZAF4VQhBoyQAmFoMYGta4MqIADJIIJIMYrhCABAyDSiUAAFWsyRhMEAABhgh

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:0018181818000000
Perceptual Hash:9999666666333399
Difference Hash:4cb2b2b2b24c3000
Wavelet Hash:1c1c1c1c3c3c0c0c
Color Hash:#2d8676

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data