Security Scan Report: excess-aqua-iqagh8wd-dpwzjrquj3do.edgeone.dev

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Submitted: Oct 4, 2026, 7:01:32 AMCompleted: Oct 4, 2026, 7:02:10 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 76%

8
Risk Score

Password login page wearing Zimbra/Synacor branding on an anonymous edgeone.dev subdomain, whose script POSTs to an external achlogcheck.pages.dev 'validator' endpoint. Consistent with a credential-harvesting page; do not enter credentials.

Risk Factors (4)
Credential (password) form served on an anonymous free-hosting subdomain rather than a corporate domain
Cross-origin JavaScript POST to achlogcheck.pages.dev/debug/wp-log/validator — an unverified external endpoint with a login-validator style path
Zimbra/Synacor branding and copyright displayed on a domain that is not Zimbra's official domain
Unranked domain with no business identity, address or legal pages
Domain age information unavailable

Details

Page Title

Zimbra Web Client Sign In

Scan Type

public

Domain Name Analysis

Domain 'excess-aqua-iqagh8wd-dpwzjrquj3do.edgeone.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'excess-aqua-iqagh8wd-dpwzjrquj3do'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and 3 consonants. Word splitting yields 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://excess-aqua-iqagh8wd-dpwzjrquj3do.edgeone.dev/

Page Load Overview

1.03s
Total Load Time
179 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:741 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software64% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
64%
corporate business
38%
documentation technical
31%
government public service
28%
social_media
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.174.246.29Singapore
3150.254.180.8Poznan, Greater Poland, Poland
AS9112Institute of Bioorganic Chemistry Polish Academy of Science, Poznan Supercomputing and Networ
62--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA02D81200B00C72065341E536C76B8E7A9ADA3B610AD448B7BC8BDD2FD7DD6CB77269

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:8+S6itctsmWEXbfJtnjfGuCugFO3n9/9W2VEULf0R3UZiqj:g2smWEVtjuuRgFO3n9/9dLO3UZxj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8458:VJEMN4oIgWUJSBFAASXQSKgECoATACoDYSYEvEQUgggAgQMZgAsOEcQSjOmxHBAChJZILQHhAh4g2W8UFAJCAjIggBJJoPlQ

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:0000181818180000
Perceptual Hash:99da26f68926d9a1
Difference Hash:4040b2b2b232cef3
Wavelet Hash:f07cfeff1f980000
Color Hash:#d22d88

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data