Security Scan Report: admin-dev.identity.gopuff.io

Submitted: Apr 3, 2026, 7:21:36 AMCompleted: Apr 3, 2026, 7:23:17 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is admin-dev.identity.gopuff.io and was registered NaN years ago.

Submitted URL: https://admin-dev.identity.gopuff.io

The Cisco Umbrella rank of the primary domain is #864,027 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 400 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

InvalidUri

Scan Type

public

Language

🇺🇸

English

(30% confidence)

Category

healthcare medical

(35%)

Domain Information

Domain 'admin-dev.identity.gopuff.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'admin-dev.identity'. The second-level label 'gopuff' is 6 characters long holding 2 vowels versus 4 consonants. It segments into two words: go, puff. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://admin-dev.identity.gopuff.io

Page Load Overview

0.57s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:30%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:30%
Script Type:Latin
Text Length:170 chars
Detector Agreement:50%

Website Classification

Primary Category

healthcare medical35% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
35%
real estate property
33%
government public service
33%
adult content
32%
news media journalism
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
220.60.2.65Washington, Virginia, United States
AS8075Microsoft Corporation
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BBE0CD4B43591415FE3039C85CF53716A9CB7E5424A32B5716D85D9878C45A9DE01705

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:haxU+kXHX96TdzRcC5yYKY2i21VsZ/YWOkEN76zR2pe2AclF8J:haxzkXHkhzRF5pT2i2Y/YWOkEN76zTaO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:2d7a63842035ebb8861d835063a81c83

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:3f3fffffffffffff
Perceptual Hash:8307070707073fff
Difference Hash:c0c0000000000000
Wavelet Hash:3030f0f0f0f0f0f0
Color Hash:#ad87c5

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

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