Security Scan Report: www.adjust.com

Submitted: Dec 11, 2025, 2:26:01 PMCompleted: Dec 11, 2025, 2:26:55 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is adjust.com and was registered NaN years ago.

Submitted URL: https://www.adjust.com/glossary/advertisement/

The Cisco Umbrella rank of the primary domain is #1,402 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate security checkpoint page with no security concerns.

Safety Factors
Established domain age
High Cisco Umbrella ranking
Absence of forms collecting sensitive data
No external links or redirects
Domain age information unavailable

Details

Page Title

Vercel Security Checkpoint

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(47%)

Domain Information

The domain 'www.adjust.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The second-level label 'adjust' is 6 characters long split between 2 vowels and four consonants. Breaking it apart gives one word: adjust. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.adjust.com/glossary/advertisement/

Page Load Overview

1.40s
Total Load Time
3
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:285 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical47% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
47%
technology software
41%
news media journalism
35%
cryptocurrency blockchain
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
276.76.21.22Walnut, California, United States
AS16509AMAZON-02
166.33.60.129United States
AS16509AMAZON-02
32--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T147E2F880D708FC617242898E60FE1C252250F9B27506DB98FF91DDB6FAA58C05467F9F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:cAkLWL+h3qDG/JGJPa+WZMcR9+g54AHFDSnTVc3/YU++:cAkSLA38+GJy+WZM29+gKAHuVc3L

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32570:CEjiBXDHqoLDQgohOm4CAlDQEsEA+ciIAQBRISERiBKBIFWATOcA/R/hJAFYogsScikQC0AoRRGUbAm6jgOE5IUJQHReBAzg

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:ffffffe7e7ffffe3
Perceptual Hash:e6994c9966934cd9
Difference Hash:0000000c08000004
Wavelet Hash:fcfcfce420303c00
Color Hash:#9c6ce0

Other Hashes

Crop Resistant:0000000c08000004

Scan History

Scan history not available

Unable to load historical scan data