Security Scan Report: crashlogs.whatsapp.net

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Submitted: Dec 5, 2025, 2:55:08 PMCompleted: Dec 5, 2025, 2:56:46 PMpubliccompleted
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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 crashlogs.whatsapp.net and was registered NaN years ago.

Submitted URL: https://crashlogs.whatsapp.net/

The Cisco Umbrella rank of the primary domain is #341 of the top 1 million websitesTop 1K Site

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

suspicious phishing

(34%)

Domain Information

Within the network infrastructure generic top-level domain (.net), 'crashlogs.whatsapp.net' is registered with subdomain 'crashlogs'. Its registrable label 'whatsapp' stretches across 8 characters holding 2 vowels versus 6 consonants. Breaking it apart gives three words: what, s, app. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://crashlogs.whatsapp.net/

Page Load Overview

0.22s
Total Load Time
2
HTTP Requests
1
Domains
0 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:204 chars
Detector Agreement:100%

Website Classification

Primary Category

suspicious phishing34% confidence
Type: static
Method: ml+structural

All Detected Categories

suspicious phishing
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2157.240.0.60Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
12a03:2880:f277:1cd:face:b00c:0:167Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
22--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T145E0DFB2C0E44D6702B319DDA9C8E64469A5B12B58302C05BBCCE16C8FCEB2EC413388

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96AAD/Y6M7r2REEOVSAve/FpWaWAC1zOaOKvY0YNdxELa:kxV7HfAAEn7r2RPpFpqzOaOKvzY7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:d806c14d1119c3a2ba05d5f1ccec50d8

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:003fffffffffffff
Perceptual Hash:83030307077f7e7e
Difference Hash:e0c0000000000000
Wavelet Hash:003ff0f0f0f0f0f0
Color Hash:#40bf75

Other Hashes

Crop Resistant:e0c0000000000000

Scan History

Scan history not available

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