Security Scan Report: c1.inet.se

Redirected to: https://c1.inet.se/#/Login

Site favicon
Submitted: Nov 26, 2025, 7:47:34 AMCompleted: Nov 26, 2025, 7:49:22 AMpubliccompleted
Loading additional data...

Summary

This website contacted 15 IPs in 2 countries across 4 domains to perform 33 HTTP transactions. The main domain is c1.inet.se and was registered NaN years ago.

Submitted URL: https://c1.inet.se/

Effective URL: https://c1.inet.se/#/LoginRedirected

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Site shows credential‑harvesting form; treat as high‑risk phishing.

Risk Factors
Hidden password field (potential credential harvesting)
Password-only form without username field
Domain age information unavailable

Details

Page Title

Customer First - Contact Center

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

unknown

(0%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'c1.inet.se' is registered, featuring subdomain 'c1'. The second-level label 'inet' is 4 characters long split between 2 vowels and 2 consonants. Segmentation suggests two words: in, et. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://c1.inet.se/

Page Load Overview

0.73s
Total Load Time
33
HTTP Requests
4
Domains
1.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:74%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:128 chars
Detector Agreement:100%
Language mismatch: Declared as sv but detected as en

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
28172.66.146.187United States
AS13335CLOUDFLARENET
3142.250.186.131United States
AS15169GOOGLE
2151.101.1.229San Francisco, California, United States
AS54113FASTLY
2104.20.35.73United States
AS13335CLOUDFLARENET
2216.58.212.131United States
AS15169GOOGLE
2151.101.193.229San Francisco, California, United States
AS54113FASTLY
22a04:4e42:400::485United States
AS54113FASTLY
2151.101.129.229San Francisco, California, United States
AS54113FASTLY
22a00:1450:4001:801::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
22a04:4e42:600::485United States
AS54113FASTLY
3315--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CDC34FD2FEE586BA2A5F761B15ABE7FC3B7D61484E40AFA0225D317802C13FA9153061

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:EaIN6RMzMNkzeDupSFAjm1IfaFQbu1kvuzmfCL6H67uhkb+1IL2BMbkf+XirSrin:EaVs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:122062:RwgJqsN1EUA6BhxCEEDYIQ6KrBU8iCgGGGgBCQA0hANMQpuFSAMIIkGARICBg8VJzNxArG2gsq4QAlaFQyoIJIQKgiAAkGoc

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:0f0f0f0f0f0f0f0f
Perceptual Hash:b1310f1ef0f1131f
Difference Hash:5a5e5b9a9d5a5b5b
Wavelet Hash:0f0f0f0f0f0f0f0f
Color Hash:#8d1f93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data