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Security Scan Report: carlatommasetti.swiftkanban.com

Redirected to: https://login.digite.com/auth/login/

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Submitted: Jan 3, 2026, 1:28:51 PMCompleted: Jan 3, 2026, 1:30:04 PMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 7 domains to perform 18 HTTP transactions. The main domain is login.digite.com and was registered NaN years ago.

Submitted URL: https://carlatommasetti.swiftkanban.com

Effective URL: https://login.digite.com/auth/login/Redirected

The Cisco Umbrella rank of the primary domain is #952,629 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Phishing page impersonating major brands with credential collection

Risk Factors
Brand impersonation on a low‑ranking domain
Login form collecting credentials on a suspicious subdomain
Excessive redirects (4) indicating possible URL manipulation
Domain rank far below typical legitimate brand domains
Domain age information unavailable

Details

Page Title

Sign in to Nimble

Scan Type

public

Language

🇺🇸

English

(55% confidence)

Category

technology software

(60%)

Domain Information

The domain name 'carlatommasetti.swiftkanban.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'carlatommasetti'. Count 11 characters in 'swiftkanban' with three vowels and eight consonants. Word splitting yields 3 words: swift, kan, ban. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://carlatommasetti.swiftkanban.com

Page Load Overview

4.92s
Total Load Time
12
HTTP Requests
3
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:55%
Script Type:Latin
HTML Lang Attribute:en_US
Text Length:262 chars
Detector Agreement:100%
Language mismatch: Declared as en_us but detected as en

Website Classification

Primary Category

technology software60% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
60%
social_media
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.250.185.131United States
AS16509
165.9.175.23United States
AS16509AMAZON-02
1157.240.0.6United States
AS16509
1104.26.10.58United States
AS16509
165.9.175.44United States
AS16509AMAZON-02
1104.26.11.58United States
AS16509
135.71.157.95United States
AS16509AMAZON-02
152.223.36.55United States
AS16509AMAZON-02
1216.58.212.131United States
AS16509
129--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A1F27EBB0451182B832349CABEE6175D2692C11FC942FC58BA5C0BA76FDEEE41546B0F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:OhJVD1aMzo3x3v5rNGxEUJ65z+OucXGU6lTm30kam9WosR8z++V:GJVDDch3xASUJ6Yc2U6ltvO+c

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35941:LQQADAAMPQ8RJRBAhBRkASTAARG6EctKzVUCCIRIQzEKCKBqSAohBRPJvQLLJEMMAqBWBlI4AcCIABghEGIaMkrgsKhpSSAA

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:3d7d05a5fdedcdfd
Perceptual Hash:ba0ec1c9cc332e1f
Difference Hash:c1c16d4d01191901
Wavelet Hash:3c1d01819cecc1f9
Color Hash:#bf4093

Other Hashes

Crop Resistant:c1c16d4d01191901

Scan History

Scan history not available

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