Security Scan Report: app-apollo.vercel.app

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Submitted: Jul 3, 2026, 10:52:08 PMCompleted: Jul 3, 2026, 10:53:40 PMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 19 domains to perform 2 HTTP transactions. The main domain is app-apollo.vercel.app and was registered NaN years ago.

Submitted URL: https://app-apollo.vercel.app/site/labXCZRXd0HUGfLKa8V8

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site shows no malicious indicators, contains no credential forms, and is low risk despite an unranked subdomain and a medium IDS alert.

Risk Factors
Medium severity IDS alert (suspicious User‑Agent)
Unranked subdomain on a hosting platform with unknown creation date
Safety Factors
Self‑branding aligns with the domain (no brand impersonation)
Absence of credential or payment collection forms
No malicious JavaScript behavior or exfiltration
Low JavaScript obfuscation score (standard minification)
No external links or resources flagged as malicious
Domain age information unavailable

Details

Page Title

app-apollo.vercel.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(78%)

Domain Information

Domain 'app-apollo.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'app-apollo'. The second-level label 'vercel' is 6 characters long containing two vowels alongside four consonants. Breaking it apart gives two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app-apollo.vercel.app/site/labXCZRXd0HUGfLKa8V8

Page Load Overview

8.09s
Total Load Time
1
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:759 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software78% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
78%
documentation technical
52%
adult content
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1150.171.109.194Azure · CLOUDUnited States
AS8075Microsoft Corporation
0142.251.13.97Google · CDNUnited States
AS15169Google LLC
064.29.17.3United States
AS16509Amazon.com, Inc.
0146.75.120.157Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
0162.159.140.229Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
023.53.40.25Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.14.102Google · CDNUnited States
AS15169Google LLC
0150.171.28.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
0142.251.14.154Google · CDNUnited States
AS15169Google LLC
114--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T197048F77329A063986558498E05B830D9F21B143F506C9BC79BCBAD8BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:6/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPf2bMy8OldO:7hoC9JSqzzbs6okSjggcpsX2eAM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187980:RlBSAHN4AZCFABpb4VCSQ4A/CGhJAICApgwAKFzjBoNAzBmOjNQFSpIhtQgQjDQJUGZ7AKRAxJwgoAbkwQIgSQEkNoDhZMQg

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:fcdcc4c4c0f8f0f0
Color Hash:#ac8853

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data