Security Scan Report: sigacor.vip

Redirected to: https://sigacor.vip/login

Submitted: Jan 22, 2026, 3:09:36 PMCompleted: Jan 22, 2026, 3:10:51 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is sigacor.vip and was registered NaN years ago.

Submitted URL: https://sigacor.vip

Effective URL: https://sigacor.vip/loginRedirected

The Cisco Umbrella rank of the primary domain is #425,508 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 85%

9
Risk Score

Phishing login page impersonating GitHub; do not enter credentials.

Risk Factors
Brand impersonation of GitHub
Credential harvesting form (email + password)
Low domain reputation and recent registration
Domain age information unavailable

Details

Page Title

sigacor.vip | Log in or sign up

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(79%)

Domain Information

You're looking at domain 'sigacor.vip' on the .vip top-level domain with no subdomain. The registrable portion 'sigacor' spans 7 characters split between 3 vowels and four consonants. It segments into three words: sig, a, cor. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sigacor.vip

Page Load Overview

5.00s
Total Load Time
9
HTTP Requests
1
Domains
40 KB
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:169 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software79% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
79%
documentation technical
58%
cryptocurrency blockchain
45%
government public service
27%
corporate
25%

Detected Features

Login Form
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.67.165.24United States
AS13335CLOUDFLARENET
91--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T160919767C0B45C76C210C2A82A9BF505E591D147D5A92414F6FD039D4FE9FD3E83321E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TBLmSGhxCJpEV/bjaYwWF6apF/8+xjOdzvKvGxhVTgL4j:VLJGhx+pEV/bOYwWFLp9GzSeO4j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4359:CCgAiBkAgUAAsRCABCIJAAIwAQBKAFSAQAAgwIMCgpL0AJjAJYCiAQIAASgOgAUJBCAhAEgoIUAQACQgkAAASMOhAAlEAQAE

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:99ffffe7e7ffffe7
Perceptual Hash:e34bc9496263c9d9
Difference Hash:2b50324d4c30000c
Wavelet Hash:00782820070f0f07
Color Hash:#906ce0

Other Hashes

Crop Resistant:2b50324d4c30000c

Scan History

Scan history not available

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