Security Scan Report: href.li

Submitted: Oct 31, 2025, 7:04:55 AMCompleted: Oct 31, 2025, 7:08:17 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is href.li.

Submitted URL: https://href.li/?https://dashboardsecop.uorm1.cfd

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Site uses URL spoofing to appear legitimate; likely a phishing attempt.

Risk Factors
URL manipulation (spoofed address bar)
Unranked domain with suspicious subdomain pattern
DNS resolution failure (potential lure to prompt user action)
Domain age information unavailable

Details

Page Title

dashboardsecop.uorm1.cfd

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(52%)

Domain Information

You're looking at domain 'href.li' on the .li country-code top-level domain while skipping any subdomain. The second-level label 'href' is 4 characters long with 1 vowel and three consonants. Breaking it apart gives 1 word: href. 'hreif' is most common in Icelandic usage. Secondary signals appear in Slovak and Afrikaans. Taken together, it feels Icelandic with single-word simplicity.

Screenshot

Security scan screenshot of https://href.li/?https://dashboardsecop.uorm1.cfd

Page Load Overview

3.87s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:196 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software52% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
52%
documentation technical
48%
news media journalism
30%
government public service
29%
adult content
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1192.0.78.27San Francisco, California, United States
AS2635AUTOMATTIC
0192.0.78.26San Francisco, California, United States
AS2635AUTOMATTIC
12--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T101047F77329A063D86558498E057430D9F20B143B50AC9BC7ABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:CfQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIsz82bMy8OldN:5hoC9J395CbZgLtSL3gcrsI2eA3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183705:I4ZAgCK7IUAoCFUBCwyAJAoFIECIACaAYnQGDGWVCA4whOAaqcAEQjrEMpqOl4mAAIwCkRSRAFYMoARBJUqBEBiKABZUAsGU

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:ffc7c7d3ffffffff
Perceptual Hash:e1319acecc6c3333
Difference Hash:00180c1600000000
Wavelet Hash:3c1c0430f0f0f0f0
Color Hash:#78743a

Other Hashes

Crop Resistant:00180c1600000000

Scan History

Scan history not available

Unable to load historical scan data