Security Scan Report: www.in-patrika.vercel.app

Redirected to:
https://in-patrika.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 17 IPs in 3 countries across 11 domains to perform 13 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://www.in-patrika.vercel.app/

Effective URL:
https://in-patrika.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 98%

10
Risk Score

Confirmed phishing page impersonating Zimbra login to steal credentials, with Telegram bot exfiltration. Do not enter any information.

Risk Factors (5)
Brand impersonation of Zimbra
Credential harvesting form (email + password)
Credential exfiltration via Telegram bot token
Shared hosting platform subdomain with unknown age
Unranked domain (not in Cisco Umbrella top 1M)
Domain age information unavailable

Details

Page Title

Zimbra Web Client Sign In

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'www.in-patrika.vercel.app' is registered, featuring subdomain 'www.in-patrika'. The core label 'vercel' covers 6 characters split between 2 vowels and four consonants. Splitting it apart reveals two 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://www.in-patrika.vercel.app/

Page Load Overview

1.33s
Total Load Time
140 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,046 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software43% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
43%
forum community discussion
35%
documentation technical
27%
blog personal website
26%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1364.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
045.43.142.5United Kingdom
AS16276OVH SAS
0151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0192.185.121.64Ashburn, Virginia, United States
AS31898Oracle Corporation
0142.250.154.95Google · CDNUnited States
AS15169Google LLC
0104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1317--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18893D832E642201EF027C96AE0C2EA98692AC253DD534FBEF53E7469DBC65DD1523307

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:0UvdNU/IUvdNU/+ufv1ZuuXGC/afeTtw3kF49GS0WRrhBhl/Z:RdNUddNUl2ahw3kKfHB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:89258:HYC8mBdVcA4A0HyQQAvUgggzQCAGxBMQphwBAA3SyIYWRiplABjBjVoUiEMSkNAQJUIASeoKYBswMbA3IqAcFKi5YEEeEAYQ

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:ffe7c3c3e7ffffe7
Perceptual Hash:b3b3cccc26331966
Difference Hash:224d4d4d4d32040c
Wavelet Hash:ffe7e7c3c3270000
Color Hash:#2dd24e

Scan History

Scan history not available

Unable to load historical scan data