Security Scan: e-sign

Summary

API

This view is built from:

Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/7b0938df-a9a7-49c9-913d-27514c9f8711 Domain and IP registration (RDAP)/api/v1/rdap/7b0938df-a9a7-49c9-913d-27514c9f8711How often this domain was scanned/api/v1/domain/stats/lib-iscpolobcu.org Scan history for this domain/api/v1/domain/history/lib-iscpolobcu.org?limit=15

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is lib-iscpolobcu.org and was registered 6 months ago.

Submitted URL: http://lib-iscpolobcu.org/adobe-acrobat-reader/Mac/utility.php

Effective URL:

https://lib-iscpolobcu.org/adobe-acrobat-reader/Mac/utility.php

Redirected

Downloads:

AI Security Verdict

Confirmed Scam

Confidence: 93%

Risk Score

Fake DocuSign/Adobe download page on a non-DocuSign domain that auto-downloads a docusign.dmg installer and instructs the user to open it — clear macOS malware delivery.

Risk Factors (5)

Brand impersonation of DocuSign on an unrelated domain

Automatic executable (.dmg) download served by the page

Social engineering instruction to open the downloaded file

Deceptive URL path spoofing Adobe Acrobat Reader for macOS

No relationship between the host domain and the brands displayed

Domain age information unavailable

Details

Page Title

e-sign

Scan Type

public

Domain Name Analysis

Within the non-profit oriented generic top-level domain (.org), 'lib-iscpolobcu.org' is registered. The registrable portion 'lib-iscpolobcu' spans 14 characters with 5 vowels and eight consonants, along with one hyphen. It segments into 6 words: lib, is, c, polo, bc, u. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Page Load Overview

8.67s

Total Load Time

296 KB

Total Size

Language Analysis

Primary Language

🇺🇸English

Code: en

Confidence:80%

Script:Latin

Direction:ltr

Detection Details

HTML Lang Attribute:en

Text Length:100 chars

Detector Agreement:100%

Website Classification

Primary Category

download file sharing43% confidence

Type: static

Method: ml+structural

All Detected Categories

download file sharing

43%

documentation technical

38%

healthcare medical

33%

e-commerce shopping

30%

government public service

27%

Detected Features

No structural features detected

Domain & IP Information

Requests	IP Address	Location	AS Autonomous System
3	103.93.160.192	Bogor, West Java, Indonesia	AS133800PT Biznet Gio Nusantara
3	1	-	-

Detected Technologies1

Apache HTTP Server

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14854123157813DBB583CCA8C71D13E842ED8DECFC6B8524535F5A0E282EE752ADB1259

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:6Edo2Cp6Edo2Cp9UNuO+L6qFnxw7Ap27rpZioq:6Edo2Cp6Edo2Cp9UNuODqFnqkp27rpZS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:302759:hxJAEYAkggSKEIoGiEA5ggEHGAEBACBKpoIiRQMdAMQ8h9BMptsAfmCQOopEBbeOGnAIqDsACChMkCAACQYNFBEkDRBBagQD

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:ffffcfc383c7ffff

Perceptual Hash:b8c7c7386cc73838

Difference Hash:80009d1eb79d002c

Wavelet Hash:00cf87838387ff07

Color Hash:#d279cc

Other Hashes

Crop Resistant:80009d1eb79d002c,3d2f5b87c71b03c1

Scan History

Scan history not available

Unable to load historical scan data

Security Scan Report: lib-iscpolobcu.org