Security Scan Report: graph.whatsapp.com

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Submitted: Nov 24, 2025, 10:30:08 PMCompleted: Nov 24, 2025, 10:33:08 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 graph.whatsapp.com and was registered NaN years ago.

Submitted URL: https://graph.whatsapp.com/

The Cisco Umbrella rank of the primary domain is #1,182 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate WhatsApp API endpoint with no security concerns.

Safety Factors
Official brand domain
Long‑standing registration
High reputation ranking
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(72% confidence)

Category

technology software

(31%)

Domain Information

The domain 'graph.whatsapp.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'graph'. Count 8 characters in 'whatsapp' with 2 vowels and 6 consonants. It segments into three words: what, s, app. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://graph.whatsapp.com/

Page Load Overview

0.24s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:72%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:72%
Script Type:Latin
Text Length:211 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software31% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
31%
documentation technical
28%
cryptocurrency blockchain
28%

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--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F0E0C072C8A00C17426364DC68D6620465D071575C310D857FCCA07C8FDFC3ACC232C5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96AAD/YIqkVgO4YaidyeREH+8fACeKTEuqCY0YNdxELa:kxV7HfAAEIXYeREHt7hzY7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:dc917b87c08840b73b7dfc225fc0c119

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:83030303077f7e7f
Difference Hash:c0c0000000000000
Wavelet Hash:003fffff00000000
Color Hash:#53aca6

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data