Security Scan Report: s91.app

Redirected to: https://s91.app/geturl?id=88

Submitted: Feb 16, 2026, 3:35:00 AMCompleted: Feb 16, 2026, 3:36:33 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 1 domain to perform 2 HTTP transactions. The main domain is s91.app and was registered NaN years ago.

Submitted URL: http://s91.app/geturl?id=88

Effective URL: https://s91.app/geturl?id=88Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

New unranked domain with no detectable threats; low risk but monitor for future changes.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Domain is not hosting any suspicious content
Domain age information unavailable

Details

Page Title

s91.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(86%)

Domain Information

The domain 's91.app' uses the application-focused generic top-level domain (.app) and has no subdomain. Count 3 characters in 's91' with zero vowels and 1 consonant, notching 2 digits. Segmentation suggests 2 words: s, 91. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://s91.app/geturl?id=88

Page Load Overview

8.11s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:717 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software86% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
86%
documentation technical
64%
adult content
60%
government public service
30%
phishing scam
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
123.235.185.29United States
AS138415Yancy Limited
1103.156.24.144Malaysia
AS400619AROSSCLOUD INC.
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AD048F77329A063D86558498E05B83099F21B143F506C9BC79BCBAD8BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5fQho9PKBb9Js3q9Jzbs6tlg1ySBKwdQWgceIszG2bMy8Oldb:uhoC9JSqzzbs6okSj3gcrsa2eAx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187127:CCwPESB+YEgVFABkYAGEIAAnRDJsQBMQA2CdBTBEnZAGioKEFoEALZJWmWArIGDiFjoEBAEhChFZKyZArECEaCoA2MATD0EA

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc939365
Difference Hash:0018181616000000
Wavelet Hash:f0d0c4c4c0fcf0f0
Color Hash:#9fbf40

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data