Security Scan Report: solitary-hill-100c.8cf2773f8a92eeae69b336da.workers.dev

Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 3 domains to perform 4 HTTP transactions. The main domain is workers.dev and was registered 7 years ago.

Submitted URL: https://solitary-hill-100c.8cf2773f8a92eeae69b336da.workers.dev/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Fake DocuSign page on a workers.dev subdomain that impersonates DocuSign and pushes a malicious 'DocuSign Viewer' executable; IDS flags the EXE download and the script exfiltrates via a Telegram bot token. Do not download or run anything.

Risk Factors (7)
Brand impersonation of DocuSign on an unrelated, non-official domain
Malicious executable download disguised as a legitimate 'DocuSign Viewer'
Critical IDS alerts for PE EXE/DLL executable download
Automatic Telegram bot exfiltration channel embedded in the page
Cross-origin IP geolocation lookups (ipapi.co, ip-api.com) used to profile the visitor
Throwaway workers.dev subdomain with unknown creation date and no reputation
Fake document-viewer urgency ('Decrypting Document...', 'Unauthorized access attempts are logged') to pressure the download
Domain age information unavailable

Details

Page Title

Secure Document — DocuSign Viewer Required

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'solitary-hill-100c.8cf2773f8a92eeae69b336da.workers.dev' is registered, featuring subdomain 'solitary-hill-100c.8cf2773f8a92eeae69b336da'. The second-level label 'workers' is 7 characters long containing two vowels alongside five consonants. Tokenizing the label suggests one word: workers. The median word length lands at seven characters. No strong language cues emerged from the frequency lists.

Screenshot

iSecure|Document} This document is encrypted and requires the DocuSign’ Please click the button below to continues Protected by Docusign DEM)

Page Load Overview

0.36s
Total Load Time
14 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,707 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical64% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
64%
technology software
56%
government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.67.199.107Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.21.84.245Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.26.8.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
0104.26.9.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
45--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13E23945F66F30021785358B97BF75B4622249003E10AC8693F8CA398DF9AA94DD73BDD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:JXYFSIkNswVut59XwF25xjU/kGpufQIqP2L4ZQ6HXPN/eyhKrs8m1uhBkI8PBU5J:JIFSIkNswVut52F2c/kGEfQes/wVwbI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:47981:olEQNkQAASFcACEbAoBUACVRCQAoDQCEVZBILicCQFwhAMIDBKFAVewhIIBoPjkMkCYFi1B1yVXyLEQAAFBCsAFBNAAAiABb

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:00183c3c3c3c1800
Perceptual Hash:999b66cc64cc3333
Difference Hash:047171717171710c
Wavelet Hash:003c3c3c3c3c3c00
Color Hash:N/A

Other Hashes

Crop Resistant:047171717171710c

Scan History

Scan history not available

Unable to load historical scan data