Security Scan Report: cheq.ai

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Submitted: Aug 12, 2026, 10:26:48 PMCompleted: Aug 12, 2026, 10:27:38 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 2 HTTP transactions. The main domain is cheq.ai and was registered NaN years ago.

Submitted URL: https://cheq.ai/blog/cookie-stuffing-fraud/

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

The page is a legitimate blog article with no phishing, malware, or credential‑harvesting elements.

Safety Factors
Established domain age
Self‑branding rather than impersonation
Absence of credential/payment collection
No malicious IoC or YARA detections
No IDS or Safe‑Browsing alerts
Domain age information unavailable

Details

Page Title

How Cookie Stuffing is Used to Commit Affiliate Fraud

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(91%)

Domain Information

You're looking at domain 'cheq.ai' on the Anguillan country-code top-level domain (.ai) and has no subdomain. The core label 'cheq' covers 4 characters holding one vowel versus three consonants. Segmentation suggests 2 words: che, q. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cheq.ai/blog/cookie-stuffing-fraud/

Page Load Overview

6.93s
Total Load Time
187
HTTP Requests
42
Domains
3.7 MB
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-US
Text Length:16,784 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software91% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
91%
e-commerce shopping
62%
documentation technical
43%
government public service
37%
news/blog
35%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
263.124.173.63Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2399.84.152.91Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
23162.159.135.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
23162.159.128.61Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
23104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
23142.251.110.95Google · CDNUnited States
AS15169Google LLC
23142.251.151.4Google · CDNUnited States
AS15169Google LLC
1878--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T115541AB3A68C3836011313D8B5357BDDE02F9632E9068C96FDFF42796B91DE23666418

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BTScdY3wbuv3FE7ejg5np0G8gTNKTlXuwp65AS1w84Nn6FEBCwzHwR35UO263Okc:BTScww6v3FM5np0ZQNKB+wp6S5U/fEwS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:279759:QOgFp4iYAADhY0CKASBKiypgQMEkY9AwDGBEAFFByIGAUpCDOSskOSkGEQHAn0lRBVG1UOD6CJDQD0QRNAUAwN7AVCNARBZV

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:00ffffffc7c1c1f9
Perceptual Hash:e9964932066f6b36
Difference Hash:4b000b3f0f1b1b13
Wavelet Hash:00ffcfcf8381c1c9
Color Hash:#6cb9e0

Scan History

Scan history not available

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