Security Scan Report: na4-docusignv1-52fe74b0160e448ceb80dfbd0a1159128ace1fb4dc97c9b1.edgeone.dev

Submitted: Aug 23, 2026, 1:45:36 PMCompleted: Aug 23, 2026, 1:49:18 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Page impersonates Docusign brand, hosts on an unranked subdomain, and resolves to IPs flagged as attackers – high‑risk phishing kit.

Risk Factors (4)
Brand impersonation of Docusign
Threat‑intel matches on hosting IPs
Unranked domain on shared‑hosting subdomain
Unknown subdomain age
Domain age information unavailable

Details

Page Title

CertifiedDeliveryNotification

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'na4-docusignv1-52fe74b0160e448ceb80dfbd0a1159128ace1fb4dc97c9b1.edgeone.dev' is registered, featuring subdomain 'na4-docusignv1-52fe74b0160e448ceb80dfbd0a1159128ace1fb4dc97c9b1'. Count 7 characters in 'edgeone' containing 4 vowels alongside three consonants. Word splitting yields two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://na4-docusignv1-52fe74b0160e448ceb80dfbd0a1159128ace1fb4dc97c9b1.edgeone.dev/

Page Load Overview

9.44s
Total Load Time
8 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:825 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software60% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
60%
documentation technical
52%
government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.174.246.29Singapore
22.16.10.148Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
42--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B4E164B1C241242EB72B5168F061BAD6754044CF43B26F74FD1A673BF8AB4712A2379D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:AZ9UX8ppxQwP6MX+FAzIFrtYxyhjz1R92iyV2Syeen:rJW4jznlolen

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7257:CBoQCQsLMOCCAhABQYgkgCARhgBgA4HACIgAAawtiVIFURSEEEaBBGjYgJEyw2kAZLNAiggBABkVYBpCAGCQAAEIIwKQSBBJ

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:e7c3c3ffffefffff
Perceptual Hash:b3666699cc99994c
Difference Hash:0d8e8e001c1c1c10
Wavelet Hash:00c3c3c3c3c3c3ff
Color Hash:#6c83e0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data