ScanMalware.com

Security Scan Report: sagicc.co

Redirected to: https://sagicc.co/en/

Site favicon
Submitted: Jan 16, 2026, 9:05:26 PMCompleted: Jan 16, 2026, 9:07:02 PMpubliccompleted
Loading additional data...

Summary

This website contacted 9 IPs in 1 country across 9 domains to perform 11 HTTP transactions. The main domain is sagicc.co and was registered NaN years ago.

Submitted URL: https://sagicc.co

Effective URL: https://sagicc.co/en/Redirected

The Cisco Umbrella rank of the primary domain is #753,816 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears legitimate with minimal risk.

Safety Factors
Established domain age (>10 years)
Absence of login or payment forms
No malicious Indicators of Compromise detected
Clear marketing content without deceptive brand impersonation
HTTPS connection (assumed from standard hosting)
Domain age information unavailable

Details

Page Title

Sagicc: Omnichannel Customer Experience (CX) Platform

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

The domain 'sagicc.co' uses the Colombian country-code top-level domain (.co) with no subdomain. The second-level label 'sagicc' is 6 characters long containing 2 vowels alongside 4 consonants. Breaking it apart gives 2 words: sagi, cc. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sagicc.co

Page Load Overview

4.47s
Total Load Time
84
HTTP Requests
21
Domains
1.5 MB
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:5,787 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software80% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
80%
corporate business
76%
government public service
62%
social media network
56%
phishing scam
48%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12172.217.20.131United States
AS15169GOOGLE
9216.58.206.74United States
AS15169GOOGLE
9142.250.186.136United States
AS15169GOOGLE
9149.28.225.92Piscataway, New Jersey, United States
AS20473AS-VULTR
9172.67.142.245United States
AS13335CLOUDFLARENET
952.201.37.243Ashburn, Virginia, United States
AS14618AMAZON-AES
9104.17.24.14United States
AS13335CLOUDFLARENET
93.160.150.86United States
AS16509AMAZON-02
9104.18.1.22United States
AS13335CLOUDFLARENET
849--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T125042BB1A310863A549B83DDA7D2166833A4E60BE525C0D4ABBB4DF0FF87DF0D46914D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:e0IejwC8cs88aWpypVXbsr6hW+A3kp70ndrLc372vv4ApSXLkiZNOBSBiPURsbUC:QC4hcQr61wnWr4cGlpfCpc/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:186680:uACMCKoDg1yqo4jCMCBMObBQJDHRiSUEJDBQIBAtpbgYwOBZwowMaAEIgSAsCHJiIIAAkEOgBWABCJEeIjShVsMRhAFAOCxE

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:00fec3e7ffe7ffff
Perceptual Hash:f6585e425d27252d
Difference Hash:e501169e170e2d32
Wavelet Hash:00fcc3c3c3e7a19e
Color Hash:#73bf40

Other Hashes

Crop Resistant:e501169e170e2d32,210d6161bdb52d13,5549d4ecec435545

Scan History

Scan history not available

Unable to load historical scan data