Security Scan Report: opta-six.vercel.app

Submitted: Sep 30, 2026, 12:45:09 PMCompleted: Sep 30, 2026, 12:45:55 PMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Fake 'Telekom Login' page on opta-six.vercel.app impersonating Deutsche Telekom and harvesting username/email via a login form with a bogus password error. Non-official domain, unranked, unknown age — do not enter credentials.

Risk Factors (4)
Brand impersonation of Deutsche Telekom on a non-official vercel.app subdomain
Credential-collecting login form with fake error message typical of phishing kits
Unknown-age page on a free shared-hosting platform
Unranked domain masquerading as a major national telecom brand
Safety Factors (4)
No password field detected in captured DOM (username/email fields only)
No cross-origin credential exfiltration detected
No YARA malware or threat-intelligence Indicators of Compromise matches
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 8 to 5
Domain age information unavailable

Details

Page Title

Telekom Login

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'opta-six.vercel.app' is registered, featuring subdomain 'opta-six'. The registrable portion 'vercel' spans 6 characters containing 2 vowels alongside 4 consonants. Tokenizing the label suggests two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://opta-six.vercel.app/oomhipatmanup.html

Page Load Overview

2.41s
Total Load Time
35 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
4216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0207.180.254.56Lauterbourg, Grand Est, France
AS51167Contabo GmbH
0216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
45--

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

T1472240AA5AB705077803D5B47FE15B871264E103C14ACC687FDC6398CF87AD49AA379C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Z2CdK2KGLzl+bNBT2YKPWQrGorVvReoRut58rkyqJfVnIFUSUK7H:RzslGTDH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10313:hCBmNCwJgSpyVghMBJUgyCtyiRUskPgQACoIaCgqJQgAFDSwIADAIECRYkoGBQkCqksxGQIuBQwBzGlQnkKFYIwQmAAue4gX

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:f9def2f2f2b2cc31
Wavelet Hash:01011f3f3f3f070f
Color Hash:#785b3a

Scan History

Scan history not available

Unable to load historical scan data