Security Scan Report: www.malwarebytes.com

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Submitted: Completed: publiccompleted
This website contacted 26 IPs in 2 countries across 20 domains to perform 143 HTTP transactions. The main domain is malwarebytes.com and was registered 22 years ago.

Submitted URL: https://www.malwarebytes.com/blog/threat-intel/2026/10/fake-xstocks-pendle-and-other-sites-bait-crypto-users-with-rewards-votes

The Cisco Umbrella rank of the primary domain is #8,616 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 97%

0
Risk Score

Legitimate Malwarebytes blog article about fake crypto voting sites; self-branded, established publisher domain, article type, no credential or payment forms, no threat-intel hits.

Safety Factors (5)
Established 22-year-old domain owned by the named publisher
News article context with author byline (Stefan Dasic, October 1, 2026) and article og:type
No credential or payment collection anywhere on the page
No Indicators of Compromise, hunting-rule matches or Safe Browsing flags
Underlying page text is a threat-intel writeup advising readers how to protect their wallets
Domain age information unavailable

Details

Page Title

Fake xStocks, Pendle, and other sites bait crypto users with rewards votes | Malwarebytes

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'www.malwarebytes.com' is registered with subdomain 'www'. Its registrable label 'malwarebytes' stretches across 12 characters holding four vowels versus eight consonants. Segmentation suggests 2 words: malware, bytes. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.malwarebytes.com/blog/threat-intel/2026/10/fake-xstocks-pendle-and-other-sites-bait-crypto-users-with-rewards-votes

Page Load Overview

2.70s
Total Load Time
6.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:13,089 chars
Detector Agreement:100%

Website Classification

Primary Category

forum community discussion63% confidence
Type: spa
Method: ml+structural

All Detected Categories

forum community discussion
63%
technology software
63%
news/blog
50%
corporate
35%
cryptocurrency blockchain
32%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18192.0.66.233San Francisco, California, United States
AS2635Automattic, Inc
513.32.121.45Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
5146.75.120.134Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
5192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
5192.0.66.178San Francisco, California, United States
AS2635Automattic, Inc
5142.251.20.97Google · CDNUnited States
AS15169Google LLC
5185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
5172.64.149.114Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
53.222.54.178Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
5142.251.14.157Google · CDNUnited States
AS15169Google LLC
14326--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15C845D72F27426B92E2B87ADE698F72CB109D105DA124BE1F4FCC17447C99B709B224D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:PV3x/ZTVb9bBjp3N/V/5HBDFrNrpzRvd3lXhfcGhlNF:N3x/ZTVb9bBjp3N/V/5HBDFrNrpzRvd7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:404805:ESaEVQwmeDFQmkVVEUMEC2kCBBIUIY4AgUMYWpQAAQgdHCAhA4puBRBABCiYHIwKAKlYKobQwCpMCKsYTrBgoDQLqgKWCjiS

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:fff7e1c1e1fffbd9
Perceptual Hash:ed669990683b646d
Difference Hash:3363032b033e3b2b
Wavelet Hash:fbe3c181e1cfc181
Color Hash:#d22d6f

Scan History

Scan history not available

Unable to load historical scan data