Security Scan Report: qcode.cc

Site favicon
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 2 countries across 2 domains to perform 26 HTTP transactions. The main domain is qcode.cc and was registered 1 year 3 months ago.

Submitted URL: https://qcode.cc/en/claude-haiku-5-5-status-tracker

AI Security Verdict

Safe Website

Confidence: 78%

1
Risk Score

Technical article about Anthropic's Claude Haiku 5.5 on a 435-day-old self-branded domain. No forms, no impersonation, no malware/YARA/Safe-Browsing hits; only a generic abuse-reputation tag and .cc TLD IDS noise.

Safety Factors (5)
Article/blog content type (og:type=article) with clear attribution and sources — discusses Anthropic products rather than posing as Anthropic
No credential or payment forms anywhere on the page
Site displays its own brand 'QCode', consistent with the qcode.cc domain (no brand impersonation)
Domain age over one year — normal profile of an established site
Cross-origin POST goes to probe.qcode.cc, a subdomain of the site's own registered domain (first-party analytics, not exfiltration)
Domain age information unavailable

Details

Page Title

Claude Haiku 5.5: release timing and what is known | QCode

Scan Type

public

Domain Name Analysis

Within the .cc country-code top-level domain, 'qcode.cc' is registered while skipping any subdomain. The core label 'qcode' covers 5 characters holding two vowels versus three consonants. Word splitting yields 2 words: q, code. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://qcode.cc/en/claude-haiku-5-5-status-tracker

Page Load Overview

2.44s
Total Load Time
269 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:13,614 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical90% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
90%
news media journalism
90%
technology software
87%
government public service
82%
cryptocurrency blockchain
79%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13154.44.10.33Los Angeles, California, United States
AS979NetLab Global
1361.111.253.160South Korea
AS138195MOACK.Co.LTD
262--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T164C32A32B1F0113E266781A7F7A7763AAD75C587D60BD414F26D83905F8AC8A8D332D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:znYuAqKXj0xtm2Vxngt5vEFOiN8+1igPfrXAzBDAepNsw+KIFAxH:zYNqkYtm2Vx8fL5pq5C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:124694:QCQBASlTQSwUKwCgwsSSDBjQoEChKQlJgWka+UJAAFQAowJeASFBQDAMAELHEUcAEDDEAI1AOIhoCAoaxsBYKFagUIcZBQsy

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:fdc3c3e3ffffe781
Perceptual Hash:f6790ecacbc2682a
Difference Hash:690f1f8e0c0d0c33
Wavelet Hash:b081c3c3e7ffa481
Color Hash:#d2b579

Other Hashes

Crop Resistant:690f1f8e0c0d0c33

Scan History

Scan history not available

Unable to load historical scan data