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Security Scan Report: cabot.jgs.app

Submitted: Feb 4, 2026, 2:18:29 AMCompleted: Feb 4, 2026, 2:20:04 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is cabot.jgs.app and was registered NaN years ago.

Submitted URL: https://cabot.jgs.app

The Cisco Umbrella rank of the primary domain is #388,325 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears safe.

Safety Factors
Well‑established domain (>4 years old)
No password, email, or payment fields
No external domains linked
No JavaScript malware patterns detected
Access denied (403) – no malicious payload served
Domain age information unavailable

Details

Page Title

403 - Forbidden: Access is denied.

Scan Type

public

Language

🇺🇸

English

(45% confidence)

Category

documentation technical

(33%)

Domain Information

The domain 'cabot.jgs.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'cabot'. Count 3 characters in 'jgs' containing 0 vowels alongside three consonants. It segments into two words: jg, s. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cabot.jgs.app

Page Load Overview

2.81s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:45%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:45%
Script Type:Latin
Text Length:181 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical33% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
33%
adult content
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
251.81.101.131United States
AS16276OVH SAS
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11F21812AD2D82024F64781C0B0B273D73B42C95AF09F0798A910F22BD1C65B2C1A2389

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hM0mIJGsq+MeLGk7JZRGg1Hu+d67Ycv2h0qGLLeGwIj:lmILq+M0JZl1Hu+d67d2hAoK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1201:AAAAgEAgAAAAAACgAAAAAgAAAkABIAAoAAAABAAAABABAABBAAEAAAAAAQgAAAAAgAAAAABAEgAAEACBQAAAAAACQAAAAQAA

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:00ffffffffffffff
Perceptual Hash:9d1d1d1f1f666260
Difference Hash:7070000000000000
Wavelet Hash:00ffcfcf00000000
Color Hash:#3a6878

Other Hashes

Crop Resistant:7000000000000000,0080002020200080

Scan History

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