Security Scan Report: fadiga.sbs

Redirected to:
https://fadiga.sbs/css/css/mixins/docusign.html?session=v6env86e9r&tok...
Submitted: Jul 24, 2026, 12:50:27 AMCompleted: Jul 24, 2026, 12:53:45 AMpubliccompleted

This website contacted 2 IPs in 2 countries across 4 domains to perform 12 HTTP transactions. The main domain is fadiga.sbs and was registered 8 months ago.

Submitted URL: https://fadiga.sbs/css/css/mixins/docusign.html#[email protected]

Effective URL:

https://fadiga.sbs/css/css/mixins/docusign.html?session=v6env86e9r&tok...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 94%

9
Risk Score

The site harvests webmail credentials and exfiltrates them to external servers, matching multiple threat‑intel indicators; treat as confirmed phishing.

Risk Factors (4)
Credential harvesting via external submission
Brand impersonation of a webmail service on a non‑official domain
Domain age 191 days (recent) with no reputation
External IP flagged as attacker
Domain age information unavailable

Details

Page Title

Webmail Login

Scan Type

public

Domain Name Analysis

You're looking at domain 'fadiga.sbs' on the .sbs top-level domain and has no subdomain. The core label 'fadiga' covers 6 characters with three vowels and 3 consonants. Segmentation suggests 2 words: fad, iga. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fadiga.sbs/css/css/mixins/docusign.html#info@domain.it

Page Load Overview

19.11s
Total Load Time
134 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,313 chars
Detector Agreement:100%

Website Classification

Primary Category

social_media50% confidence
Type: webapp
Method: structural

All Detected Categories

social_media
50%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6178.211.133.70Madrid, Madrid, Spain
AS56958Raiola Networks S.L.
666.85.46.240United States
AS393960Host4Geeks LLC
122--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T195D2C61764E62063029350E83D6B65092B57D2178E0BCE40B6BE87916F83FDFEDA358D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:IivWD/ZmXg8T+volkNEvh2/bUDYsekyOqMNbBLC+b/9:XeTZmXg8sNEvh2/RsgODNph

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29461:i5EoyIAyQ4LaHB4WspBUhDILAxoBFSEABBsyEI4heGw7TAQgoxAgiEKFAEJBcKUIBkjcyAMAwAcz8JAAZQQElf08TEQjCSjl

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:e7e7e7e7c3e7ffff
Perceptual Hash:b3339ccc66329999
Difference Hash:0c0c080c16080000
Wavelet Hash:3c240404c0e4fcfc
Color Hash:#6cb9e0

Other Hashes

Crop Resistant:0c0c080c16080000

Scan History

Scan history not available

Unable to load historical scan data