Security Scan Report: mon-delta-indol.vercel.app

Submitted: Aug 11, 2026, 12:45:43 AMCompleted: Aug 11, 2026, 12:50:23 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site mimics Telekom login but lacks credential collection; treat as moderate risk due to brand impersonation on an unknown, unranked subdomain.

Risk Factors (3)
Brand impersonation of Telekom on unrelated domain
Unranked / low‑reputation domain
Unknown subdomain age
Safety Factors (1)
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 5
Domain age information unavailable

Details

Page Title

Telekom Login

Scan Type

public

Domain Name Analysis

The domain 'mon-delta-indol.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'mon-delta-indol'. The core label 'vercel' covers 6 characters containing two vowels alongside 4 consonants. Splitting it apart reveals two 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://mon-delta-indol.vercel.app/Mondaypp.html

Page Load Overview

37.36s
Total Load Time
33 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:231 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
195.217.57.251Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
1216.198.79.67United States
AS16509Amazon.com, Inc.
43--

Detected Technologies5

JQueryv3.6.0
100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AE2240AA5AB705077803D5B87FF15B871264E103C14AC8683FDC6398CF87AD49AA379C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:12CdK2KGLzl+bNBT2YKPWQrGorVvReoRut58rkyqJfVnIFUSUK7B:lzslGTDB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10293:bAhSxAELUMIUhdCIVIPsCYQIBYGWEsOAFITAhUbwBgiJCkCBABFpimdAiGFCApkLAAICBtiaAplw5KgTNqIUGAqhESgH0RBu

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:00001c3c3c3c0000
Perceptual Hash:891936269b99dd66
Difference Hash:f9def2f2f2b2ccb1
Wavelet Hash:01011f3f3f3f070f
Color Hash:#1f936f

Scan History

Scan history not available

Unable to load historical scan data