Security Scan Report: twitter.com

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Submitted: Oct 2, 2025, 8:42:24 PMCompleted: Oct 2, 2025, 8:43:10 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 4 HTTP transactions. The main domain is twitter.com and was registered NaN years ago.

Submitted URL: https://twitter.com/safety/unsafe_link_warning?unsafe_link=https://nenroias.za.com/2478rherhHHRm439.html

The Cisco Umbrella rank of the primary domain is #553 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a legitimate Twitter safety warning with no malicious activity.

Safety Factors
Well-established domain
High Cisco Umbrella ranking
Absence of malicious Indicators of Compromise
No data‑collection forms
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Screenshot

Security scan screenshot of https://twitter.com/safety/unsafe_link_warning?unsafe_link=https://nenroias.za.com/2478rherhHHRm439.html

Page Load Overview

19.30s
Total Load Time
4
HTTP Requests
3
Domains
40 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:1,084 chars
Detector Agreement:50%

All Detected Languages

🇺🇸en(100%)🇳🇴no(0%)

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.66.0.227United States
AS13335CLOUDFLARENET
1104.244.43.131United States
AS54113FASTLY
1151.101.36.159Amsterdam, North Holland, Netherlands
AS54113FASTLY
43--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10A42BD61F6C048567532204F8A456F2FDE32F7226294AE427E9C0E5BFF75E738B81252

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:7xBlFBQo0y3L7J7KvJ0E94NjZQsBjpHOXIpigPfQAXr9B1nNIHVlf3C0l+0Ev1ZN:7xrYeOEA+J

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12173:ABQ6FRIGAhQUAnSAKAEw2QSGEggEAgIBAUAAMKBU01Ay9CArgxCiggneghKQqkgGELAoCCkBAoGocKhABCU4KATSAZEIaLII

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data