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Security Scan Report: adbpdfnewdocsfilesxsyomnarsmzx.pages.dev

Redirected to:
https://adbpdfnewdocsfilesxsyomnarsmzx.pages.dev/second.htm?email=bene...
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/85f2012f-08b8-41cd-be21-4f12122a4308Domain and IP registration (RDAP)/api/v1/rdap/85f2012f-08b8-41cd-be21-4f12122a4308How often this domain was scanned/api/v1/domain/stats/adbpdfnewdocsfilesxsyomnarsmzx.pages.devScan history for this domain/api/v1/domain/history/adbpdfnewdocsfilesxsyomnarsmzx.pages.dev?limit=15
This website contacted 4 IPs in 1 country across 3 domains to perform 7 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://adbpdfnewdocsfilesxsyomnarsmzx.pages.dev/second.htm?email=benedicte.lull%40epsilon-composite.com

Effective URL:
https://adbpdfnewdocsfilesxsyomnarsmzx.pages.dev/second.htm?email=bene...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Fake Adobe document portal on a throwaway pages.dev subdomain that harvests email and password then POSTs them to apcityboizlp.com — a textbook credential-phishing page.

Risk Factors (6)
Brand impersonation of Adobe Acrobat / Adobe Systems on a non-Adobe domain
Credential harvesting form (email + password) disguised as document access verification
Cross-origin POST of submitted data to apcityboizlp.com/senddpzam.php (credential exfiltration)
Randomised subdomain on a free hosting platform, creation date unknown
Target email address embedded in the URL as a personalised lure
Domain not ranked in Cisco Umbrella top 1M while claiming a major brand
Domain age information unavailable

Details

Page Title

Secure Document Portal

Scan Type

public

Domain Name Analysis

You're looking at domain 'adbpdfnewdocsfilesxsyomnarsmzx.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'adbpdfnewdocsfilesxsyomnarsmzx'. Its registrable label 'pages' stretches across 5 characters containing 2 vowels alongside 3 consonants. Word splitting yields one word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

PDF E-signature Adobe Acrobat Functionality Compare Plans Support — Enterprise Secure File Access Enter the secure portal to view and sign your shared business documents. Verified access only. =) 3...

Page Load Overview

2.36s
Total Load Time
210 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:599 chars
Detector Agreement:75%

Website Classification

Primary Category

download file sharing97% confidence
Type: webapp
Method: ml+structural

All Detected Categories

download file sharing
97%
corporate business
95%
technology software
94%
government public service
89%
documentation technical
87%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
74--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15912C45B12F711466653E1F17BFB670A33749003A50AC8683EDC93488F8EECAA95378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:1zDB11Zbk36YL9ctyJAR2rrBTvfhNvnOOaU/eGPe1iI:qJvZNvOOaU/jPe1iI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9559:R1Fg1MERgsAUIIldQiUEAgFiKkTEbAGUCkUYjBWhCAGPOjCRBg4jBkAEEoBb4jIUkGKQEieUnCOgoKnDKwSEPAACkoBICGRG

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:ff00101838000000
Perceptual Hash:dfa9a0838ba9a88f
Difference Hash:8100303068400000
Wavelet Hash:ffe0f8f8fce08080
Color Hash:N/A

Other Hashes

Crop Resistant:0081c0d303080000,0000326060400000

Scan History

Scan history not available

Unable to load historical scan data