Security Scan Report: www.lambda256.io

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Submitted: Completed: publiccompleted
This website contacted 10 IPs in 2 countries across 8 domains to perform 93 HTTP transactions. The main domain is lambda256.io and was registered 8 years ago.

Submitted URL: https://www.lambda256.io/en/news/press-release/lambda256-credit-card-industry-stablecoin-poc-en

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate corporate press release on Lambda256's own 8-year-old domain. Article about a stablecoin PoC; no forms, no impersonation, no Indicators of Compromise, YARA or IDS hits.

Safety Factors (6)
8-year-old established domain
Self-branding matches domain (no brand impersonation)
Content is a news/press-release article (og:type=article) with byline-style dateline and corporate attribution
No credential, login or payment forms present
Cross-origin scripts are only LinkedIn ads and Google Analytics, both top-ranked legitimate services
No threat-intelligence, YARA, or IDS matches
Domain age information unavailable

Details

Page Title

Lambda256 Completes Joint Stablecoin Payment and Settlement PoC with South Korea's Credit Card Industry

Scan Type

public

Domain Name Analysis

The domain 'www.lambda256.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'www'. The second-level label 'lambda256' is 9 characters long containing 2 vowels alongside four consonants, along with 3 digits. Splitting it apart reveals two words: lambda, 256. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.lambda256.io/en/news/press-release/lambda256-credit-card-industry-stablecoin-poc-en

Page Load Overview

7.34s
Total Load Time
25.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:9,038 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain91% confidence
Type: spa
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
91%
finance banking
53%
corporate
35%
news/blog
30%
news
15%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12104.18.29.222Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9142.251.110.97Google · CDNUnited States
AS15169Google LLC
9142.251.110.95Google · CDNUnited States
AS15169Google LLC
9104.18.28.222Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
92.21.20.137Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
9172.64.146.215Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9192.178.183.94Google · CDNUnited States
AS15169Google LLC
9146.75.123.7Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
92.21.20.146Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
9104.18.41.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9310--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11AF33867B360DC3B4253856EAD367E7EA01C81ABE2148A5DB5BCC21903419BDCF7B784

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:lkvjrBX9UyfJtReTn8fBZYiyCvLxriFjrxj:lk3g8MiyCh4xj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:161482:xRDAiQ1QlaATlAUmZ5EJpxRbTEAgEMbGBCgCAQyQeYITxQXRgBoAEiQxPQGUIAKBQsQEogAAIIkBKDFbqGphCygKYIoCE04s

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:00ff83ffffc3c3e7
Perceptual Hash:f91b634943496d1e
Difference Hash:4b2e36332b17170f
Wavelet Hash:00c383ffc3c3c3c3
Color Hash:#e06c6c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data