Security Scan Report: honeybadger.io

Redirected to:
https://www.honeybadger.io/
Site favicon
Submitted: Sep 21, 2026, 6:54:01 AMCompleted: Sep 21, 2026, 6:54:20 AMpubliccompleted

This website contacted 8 IPs in 2 countries across 6 domains to perform 32 HTTP transactions. The main domain is honeybadger.io and was registered 22 years ago.

Submitted URL: https://honeybadger.io

Effective URL:

https://www.honeybadger.io/
Redirected

The Cisco Umbrella rank of the primary domain is #28,138 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Honeybadger.io is the official established domain for Honeybadger, a developer monitoring service; no credential/payment forms, no malware, and the single threat-intel match is a generic third-party IP reputation tag.

Safety Factors (5)
Well-established domain (14 years old)
Self-branding matches domain; no brand impersonation
No credential or payment forms — only a standard newsletter signup
No malware, phishing, or obfuscated JavaScript indicators
Threat-intel match is reputation-only on a third-party address and does not describe this page's content
Domain age information unavailable

Details

Page Title

Error Tracking & Application Monitoring for Ruby on Rails, Elixir, PHP, Python, and more - Honeybadger

Scan Type

public

Domain Name Analysis

Domain 'honeybadger.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and has no subdomain. Its registrable label 'honeybadger' stretches across 11 characters containing 4 vowels alongside 7 consonants. It segments into 2 words: honey, badger. Average segment length settles at 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://honeybadger.io

Page Load Overview

0.99s
Total Load Time
367 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:10,041 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software79% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
79%
corporate business
40%
corporate
35%
documentation technical
31%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
435.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
475.2.60.5Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
413.226.244.120Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
463.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
413.226.244.63Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
465.9.130.92Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
328--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10A04E965D220263E4197C2FEF7906D14225D6298CF9396C0B36ACBFD2FDAD53AC0259C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:0C1nwdE9mGU1mEcvsbUIN7Gv5XqM3g8TvxXh2wpj1wWCNQcZhATv5uP+gA6yiug/:1nCE6QRvsbUINTPb/VGq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:182579:Yz4wMIRKFAhD2J7UtMIgFCCo4IIQKjFEemIYgAhJAokBSCwRrzAkwFQKxHhAAxLFgimgB4sAIMScIFAOlagAhDBdaUqFUGhx

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:bfc3c3e79f8f8f9d
Perceptual Hash:b365c89ecb93832c
Difference Hash:48969e493d593c39
Wavelet Hash:a7c3c3818f8d0f1d
Color Hash:#1f6793

Other Hashes

Crop Resistant:48969e493d593c39

Scan History

Scan history not available

Unable to load historical scan data