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Security Scan Report: gocrimson.evenue.net

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Submitted: Nov 1, 2025, 9:23:39 PMCompleted: Nov 1, 2025, 9:25:42 PMpubliccompleted
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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 gocrimson.evenue.net and was registered NaN years ago.

Submitted URL: https://gocrimson.evenue.net/list/FB

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate; currently returning a 502 error, no security concerns.

Safety Factors
Well‑established domain (registered 1998)
No malicious Indicators of Compromise
No login, payment, or sensitive data collection forms
Domain age information unavailable

Details

Page Title

502 Bad Gateway

Scan Type

public

Language

🇺🇸

English

(67% confidence)

Category

technology software

(66%)

Domain Information

The domain 'gocrimson.evenue.net' uses the network infrastructure generic top-level domain (.net) with subdomain 'gocrimson'. The registrable portion 'evenue' spans 6 characters with four vowels and 2 consonants. Tokenizing the label suggests 2 words: e, venue. Expect 3 characters per word on average. The linguistic tilt is Italian for 'e'. Secondary signals appear in Albanian and Galician. Taken together, it feels Italian.

Screenshot

Security scan screenshot of https://gocrimson.evenue.net/list/FB

Page Load Overview

51.12s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:67%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:67%
Script Type:Latin
Text Length:79 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software66% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
66%
cryptocurrency blockchain
58%
news media journalism
50%
real estate property
47%
documentation technical
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2209.67.140.69United States
AS40422PACIOLAN
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T148C08C3A41E21519B5E7B7E8288537403D90400D43465C026909E9888E08ED9E68FB82

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxAvNXFnEznmS13J5AEtvxL//4tznmS1pH/P+gXa4Fxt3EhJQQkiFOQRLtOb4z:qzxAY1AEdxsLzuSaIxt0Fi4z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:98655c068193b0e9e839e663af4abddb

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:3fffffffffffffff
Perceptual Hash:870707070f0f1f3f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#7e79d2

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

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