Security Scan Report: www.taslimaenterprise.com

Submitted: Completed: publiccompleted
This website contacted 10 IPs in 2 countries across 11 domains to perform 15 HTTP transactions. The main domain is taslimaenterprise.com and was registered 8 months ago.

Submitted URL: https://www.taslimaenterprise.com/adobe/

AI Security Verdict

Confirmed Scam

Confidence: 96%

9
Risk Score

Analyst-vetted fake 'PDF Viewer' kit: page poses as Adobe, tells users to install 'Acrobat Reader', and delivers a remote-access agent instead. Do not download anything.

Risk Factors (6)
Known malicious fake PDF-viewer / fake Acrobat installer kit identified by analyst-vetted roster
CRITICAL hunting-rule match for Fake_Acrobat_Reader_PDF_Viewer_Installer_Kit
Social-engineering lure instructing users to download a fake 'Adobe PDF Reader' (real payload is an RMM agent)
OS-gating ('Windows Computer Required') to target only exploitable desktop victims
Obfuscation/encoding functions in inline JavaScript
Excessive cross-domain redirect chain ending at an unrelated low-reputation domain
Domain age information unavailable

Details

Page Title

PDF Viewer

Scan Type

public

Domain Name Analysis

The domain 'www.taslimaenterprise.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The registrable portion 'taslimaenterprise' spans 17 characters with seven vowels and 10 consonants. Segmentation suggests 4 words: t, as, lima, enterprise. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

PAYMENT AGREEMENT eyaias oa tome mi ahead en te oma me A reemee Brae" he ot Senay . O00 my stere 8 mate: a emet te 4, Oy “Maer wot hese Secured PDE files wera created using the latest) ae wed on oe...

Page Load Overview

8.84s
Total Load Time
653 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:943 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
72%
corporate business
57%
entertainment media
39%
adult content
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6161.248.189.34Mymensingh, Mymensingh Division, Bangladesh
AS153523Ummah Host BD
1104.26.14.77Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.154.119Google · CDNUnited States
AS15169Google LLC
1142.251.151.119Google · CDNUnited States
AS15169Google LLC
1142.251.150.119Google · CDNUnited States
AS15169Google LLC
1142.251.152.119Google · CDNUnited States
AS15169Google LLC
1142.251.20.147Google · CDNUnited States
AS15169Google LLC
1142.251.110.105Google · CDNUnited States
AS15169Google LLC
1142.251.13.103Google · CDNUnited States
AS15169Google LLC
1142.250.154.103Google · CDNUnited States
AS15169Google LLC
1510--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DA74E085C9A739A17E92D0B56B2873183738D0A3C184DD9C394CE6E8CFE27158DF6B58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:wcrK3P7yVtTdyLkH7jVgEH1Tszg2rWS4wAB3sGnGf8d97MuMP:3gLk/VgEH1TWfOLnx0P

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:357642:MjAwBgd73kgEHQCJIBaASA1ElVg7UADcwoCBWaALvATYDiFVBsKDFgBeIQwwO0AwACQkAMhRyAVgZEoEcqyAAzYoNAC4oAES

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:9c9c9c9c9c9c1c1c
Perceptual Hash:9a7f21fd65616700
Difference Hash:31393939393939b9
Wavelet Hash:9c9c9c9c9c9c1c1f
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data