Security Scan Report: reurl.cc

Submitted: Oct 21, 2025, 10:10:11 PMCompleted: Oct 21, 2025, 10:11:51 PMpubliccompleted
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Summary

This website contacted 28 IPs in 4 countries across 11 domains to perform 20 HTTP transactions. The main domain is reurl.cc.

Submitted URL: https://reurl.cc/komZ0x

AI Security Verdict

High Risk

Confidence: 85%

10
Risk Score

Site uses URL spoofing to appear as a login page; high‑risk phishing attempt.

Risk Factors
URL manipulation (high‑risk phishing technique)
Unranked domain with unknown age
Deceptive subdomain mimicking a login/secure service
Brand impersonation via subdomain without legitimate backing
Domain age information unavailable

Details

Page Title

loginhost-de.securauthweb.com

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(60%)

Domain Information

You're looking at domain 'reurl.cc' on the .cc country-code top-level domain. Its registrable label 'reurl' stretches across 5 characters containing 2 vowels alongside three consonants. Splitting it apart reveals 2 words: re, url. Expect 2.5 characters per word on average. 're' is most common in Malay usage. Secondary signals appear in Vietnamese and Bengali.

Screenshot

Security scan screenshot of https://reurl.cc/komZ0x

Page Load Overview

56.35s
Total Load Time
20
HTTP Requests
11
Domains
294 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:en
Text Length:355 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical60% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
60%
government public service
60%
technology software
58%
news media journalism
54%
adult content
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2064.233.184.155United States
AS15169GOOGLE
0157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
0142.250.181.232United States
AS15169GOOGLE
035.229.143.32Taipei, Taipei City, Taiwan
AS396982GOOGLE-CLOUD-PLATFORM
034.107.150.21Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
0142.250.186.67United States
AS15169GOOGLE
034.160.218.201Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
034.96.83.10Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
034.102.218.41Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
0157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2028--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FB047F77329A063D86458499E057430D9F20B143B50AC9BC7ABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:LfQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIszc2bMy8Old6:0hoC9J395CbZgLtSL3gcrsI2eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183639:gtENYQBMSEITAByAKAFAywUQBBGQYjAshwWJSEKET4SYCusBEAd2RSg5EEAGKSIDCaxn4wEEQICjmkQImJAAJ8AKkBHCgJQL

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#6cd4e0

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data