Security Scan Report: verify.invitestrackr.com

Redirected to:
https://gatr.co/p/c6mxx9q
Site favicon
Submitted: Completed: publiccompleted
This website contacted 34 IPs in 3 countries across 21 domains to perform 153 HTTP transactions. The main domain is invitestrackr.com and was registered 3 weeks ago.

Submitted URL: https://verify.invitestrackr.com/

Effective URL:
https://gatr.co/p/c6mxx9q
Redirected

AI Security Verdict

High Risk

Confidence: 60%

7
Risk Score

Stripe-based private checkout for a $162/month subscription reached via a cross-domain redirect; the entry domain carries one unverified single-source phishing report and no other malicious signal is present.

Risk Factors (3)
One unverified, single-source phishing report on the entry domain used to reach this funnel
Recurring $162/month subscription collected through a private checkout link reached via an unrelated cross-domain redirector
Entry domain is 64 days old and absent from Cisco Umbrella top 1M (weak prior only)
Domain age information unavailable

Details

Page Title

Access to VIP+ Access 😈 β€” Gatr

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'verify.invitestrackr.com' is registered; it also runs on subdomain 'verify'. The registrable portion 'invitestrackr' spans 13 characters holding four vowels versus nine consonants. Breaking it apart gives 3 words: invites, track, r. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Access to VIP+ Access & @ Montniy $162 Billed monthly Cancel anytime. & Secure checkout Terms of service Privacy Manage asubscription Contact

Page Load Overview

3.24s
Total Load Time
5.8 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:195 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping63% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
63%
government public service
45%
finance banking
39%
technology software
28%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
46172.67.163.79Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
37146.75.120.176Fastly Β· CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2754.186.23.98Aws Β· CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
11104.19.230.21Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
4188.114.97.3Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
4188.114.96.3Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
434.250.89.120Aws Β· CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
454.187.119.242Aws Β· CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
413.226.244.46Cloudfront Β· CDNUnited States
AS16509Amazon.com, Inc.
413.226.244.96Cloudfront Β· CDNUnited States
AS16509Amazon.com, Inc.
15334--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B4E2A51BF905FA1698768D9E913EAF3A80DE8537D6308878B2DDCF4C16929B707D5880

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:LvszuOCnamWFcveBulRs6NzcoSwJMZLcQy4DpCRl8nLRrnLRenLRPnLRRsieNLc9:mCnrveolRPJcaJMb6s6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33358:EiBrgCA2AZIqHYJwsDCDwmCEXIcAoAitkBB84BN8RMDQJmQAMaIgegCAYCAMhEIY6GsgNAFKxwVAhkhBaBqAVKoEoSEBgmWD

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:0000181818000000
Perceptual Hash:cccc3333996666cc
Difference Hash:100432b2b20c2030
Wavelet Hash:3c3c3c3c3c3c0c1c
Color Hash:38002000c00

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data