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Security Scan Report: pub-4e9d559e11c54314b7639d20c3d13682.r2.dev

Submitted: Jul 1, 2026, 7:45:08 PMCompleted: Jul 1, 2026, 7:49:57 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 6 HTTP transactions. The main domain is pub-4e9d559e11c54314b7639d20c3d13682.r2.dev and was registered NaN years ago.

Submitted URL: https://pub-4e9d559e11c54314b7639d20c3d13682.r2.dev/doc8.html

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

Impersonates DocuSign login on an unranked r2.dev subdomain; high risk of phishing despite lack of forms.

Risk Factors
Brand impersonation on unranked domain
Misleading page title suggesting a login portal
Excessive redirects (7)
Use of Cloudflare R2 subdomain to host phishing‑styled page
Safety Factors
Domain age 1408 days (well‑established)
No IoC or YARA malware matches
No network IDS alerts
No credential exfiltration observed
No forms collecting sensitive data
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 7 to 5
Domain age information unavailable

Details

Page Title

DocuSign Login - Enter your password to sign in

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'pub-4e9d559e11c54314b7639d20c3d13682.r2.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'pub-4e9d559e11c54314b7639d20c3d13682'. The second-level label 'r2' is 2 characters long with zero vowels and 1 consonant, along with one digit. Word splitting yields 2 words: r, 2. The median word length lands at one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pub-4e9d559e11c54314b7639d20c3d13682.r2.dev/doc8.html

Page Load Overview

2.33s
Total Load Time
21
HTTP Requests
9
Domains
640 KB
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:557 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3150.171.109.194Azure · CLOUDUnited States
AS8075Microsoft Corporation
3142.251.14.95Google · CDNUnited States
AS15169Google LLC
3185.111.111.157Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
3172.64.147.160Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.54.45Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3141.193.213.21United States
AS209242Cloudflare London, LLC
3104.26.4.47Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
217--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T161348A324D239C27089EC6C7590D6FEA7FA5CDC786316223B17C818C97966F22D8A15F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:sajpSYt72uB8zd3nuatHiuZ1aYxs7TA7Vmsev:sa1SYtRc33CMaoQTA7Vmsev

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:252266:AJY0AFZNBoyiDIGMgdUtgQYghDEBUgARgoBIAk4bsJZhFsPBIRBBWBTaQAFADcI0RjKkggpUIIAsCwSsmooYRAkCGCOKSwIM

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:7fffffe7e3ffffef
Perceptual Hash:a68f992726899967
Difference Hash:8832284c4d20208c
Wavelet Hash:7f183c3c243c3c6e
Color Hash:#c58887

Other Hashes

Crop Resistant:8832284c4d20208c

Scan History

Scan history not available

Unable to load historical scan data