Security Scan Report: peslit-inapps.appsflyersdk.com

Submitted: Dec 21, 2025, 2:55:43 AMCompleted: Dec 21, 2025, 2:56:46 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is peslit-inapps.appsflyersdk.com and was registered NaN years ago.

Submitted URL: https://peslit-inapps.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 security concerns detected; site appears legitimate.

Safety Factors
Established domain with long registration history
High Cisco Umbrella reputation rank
Absence of suspicious forms or content
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

unknown

(0%)

Domain Information

Domain 'peslit-inapps.appsflyersdk.com' uses the commercial generic top-level domain (.com) with subdomain 'peslit-inapps'. Count 12 characters in 'appsflyersdk' holding 2 vowels versus 10 consonants. Splitting it apart reveals three words: apps, flyers, dk. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://peslit-inapps.appsflyersdk.com

Page Load Overview

5.86s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
Text Length:296 chars
Detector Agreement:100%

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
13.174.45.32United States
AS16509AMAZON-02
13.174.45.59United States
AS16509AMAZON-02
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FC5199A1EA931D69113BC5E01AFD776533DAC027D59B2218FE9C93D8DFC9D40B821E05

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ca7PiFWN1QGTUe0427F9kCoRcAk1ncqugukVVANymoRVWgrtF:niFWN15AN427zFoRcXczgumVAN9oRVWA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2446:ACAAEAAEAAAABAAAEAGQoIAIBEgIAAAmACAAYAACAoEABAAgAECIARBAAAAEoAQAABACAkAAEAlAACAgCAAAAAAAAAACIGEB

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:0003ffffffffffff
Perceptual Hash:af2f2f0a4a7270f0
Difference Hash:6b76004000000000
Wavelet Hash:0001cfcf00000000
Color Hash:#2dbfd2

Other Hashes

Crop Resistant:6b76004000000000

Scan History

Scan history not available

Unable to load historical scan data