Security Scan Report: kesuntar.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 41 IPs in 3 countries across 25 domains to perform 43 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://kesuntar.pages.dev/post/avengers-endgame-thanos-dialogue/

AI Security Verdict

Low Risk

Confidence: 45%

2
Risk Score

Fan/aggregator page with Avengers quotes/images, only a Google search form, no credential/payment forms, no malware or phishing indicators. Hosted on pages.dev with unknown subdomain age but no concrete risk signals.

Safety Factors (5)
No credential or payment fields detected.
No cross-origin credential forms or credential exfiltration detected.
No threat-intel matches or JavaScript malware patterns.
Search form action points to google.com/search and contains no sensitive fields.
No brand impersonation: content is reporting/fan material about Marvel, not claiming to be Marvel.
Domain age information unavailable

Details

Page Title

Avengers Endgame Thanos Dialogue / In addition to romance, tony also makes time for bromance, taking a moment to mourn his dusted protege, peter parker (tom holland), and patch things up once and for all with his former civil war adversary. - Eksanti

Scan Type

public

Domain Name Analysis

You're looking at domain 'kesuntar.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'kesuntar'. The registrable portion 'pages' spans 5 characters with 2 vowels and 3 consonants. Tokenizing the label suggests 1 word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kesuntar.pages.dev/post/avengers-endgame-thanos-dialogue/

Page Load Overview

2.55s
Total Load Time
3.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:8,546 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning36% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

education learning
36%
adult content
35%
entertainment media
31%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.45.17Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
115.197.212.58Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
1188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1162.159.152.17Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.233.212.129Chicago, Illinois, United States
AS63949Akamai Connected Cloud
1104.21.76.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.20.45.66Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4341--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14931C72E1D40C437191202B5317BF75CFD8B053D7246C870F4AE89A92ED2ED1CD16499

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:JUJLiM1NBmIeXJTNpCXz8mPVjEU0Wr0m5FwUngQ:JU5d78sV1M1uH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1866:CgAAAEAAAAAYQgFQAAQAAQAAABAAAAmAAABSAC0AEAAAAAAAAAAAAABQIAIgAAABAAFQAAABIBUAAACAAAAAJIQAqAAoAAIA

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:ffcfcfffff8f8787
Perceptual Hash:b8c732ccc7983cc3
Difference Hash:281c1e3212363e1e
Wavelet Hash:9f8783cbcb838383
Color Hash:#533a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data