Security Scan Report: gnohrl.adrevenue.appsflyersdk.com

Submitted: Jan 28, 2026, 9:35:16 AMCompleted: Jan 28, 2026, 9:37:14 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is gnohrl.adrevenue.appsflyersdk.com and was registered NaN years ago.

Submitted URL: https://gnohrl.adrevenue.appsflyersdk.com

The Cisco Umbrella rank of the primary domain is #436 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>6 years old)
High Cisco Umbrella ranking (top 500)
No credential or payment collection forms
No malicious Indicators of Compromise
Standard hosting without suspicious services
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain 'gnohrl.adrevenue.appsflyersdk.com' uses the commercial generic top-level domain (.com) with subdomain 'gnohrl.adrevenue'. The second-level label 'appsflyersdk' is 12 characters long containing 2 vowels alongside ten consonants. Word splitting yields three words: apps, flyers, dk. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gnohrl.adrevenue.appsflyersdk.com

Page Load Overview

0.39s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:9 chars
Detector Agreement: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
265.9.175.5United States
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T184C080B6C011450D5B3015F4C982B4545E4C520DD1325E5075D0D194E444967808329C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYyj2e09Ab0qa:qzxV/5VHHoB96D3ne1k9Yyieb8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:ca75196e307a2ebc4d368ffc1154c7f3

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:7fffffffffffffff
Perceptual Hash:83070707070f1fff
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#bf8c40

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data