Security Scan Report: app.eraser.io

Submitted: Mar 22, 2026, 5:01:58 PMCompleted: Mar 22, 2026, 5:03:19 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is app.eraser.io and was registered NaN years ago.

Submitted URL: https://app.eraser.io

The Cisco Umbrella rank of the primary domain is #275,876 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no malicious indicators.

Safety Factors
Established domain (>10 years)
No forms collecting sensitive data
No malicious Indicators of Compromise
Standard third‑party services (Intercom, Google Identity) only
Domain age information unavailable

Details

Page Title

Eraser

Scan Type

public

Language

🇳🇴

Norwegian

(44% confidence)

Category

corporate

(50%)

Domain Information

The domain 'app.eraser.io' uses the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'app'. The core label 'eraser' covers 6 characters holding three vowels versus 3 consonants. Breaking it apart gives 1 word: eraser. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.eraser.io

Page Load Overview

2.17s
Total Load Time
33
HTTP Requests
5
Domains
1.1 MB
Total Size

Language Analysis

Primary Language

🇳🇴Norwegian
Code: no
Confidence:44%
Script:Latin
Direction:ltr

Detection Details

Language Code:no
Detection Confidence:44%
Script Type:Latin
HTML Lang Attribute:en
Text Length:24 chars
Detector Agreement:50%
Language mismatch: Declared as en but detected as no

Website Classification

Primary Category

corporate50% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1134.8.177.196Kansas City, Missouri, United States
AS396982Google LLC
11142.250.201.170United States
1165.9.175.85United States
333--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14C3229C21B068A4855B3C24EFF527529905EE26FEE79CCC5B2CD8A8D8FC32D05AD1B45

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:amNFQLqg26nwDGo+45EXxy4zWhrk6vp0BZ67nBQuku5eTqi+SwnqojyMHcMGXajf:xPVk6vp0BZ67nBQuku5e7fwnqoj/Sz4h

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10941:CBsAhBIBDEgAR6A6CIR6ADIDCQGQAWEOUJHwADACGlCqQVuQIQPFyEh8iCuYA1ANBOJlAZBpKBAyMAAlAhiQAg5CcRAI8AFu

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:ffffffe700000000
Perceptual Hash:a2fe88fc22fc88f0
Difference Hash:0008100808b00080
Wavelet Hash:ffffffe760000000
Color Hash:#53a0ac

Other Hashes

Crop Resistant:0008100808b00080

Scan History

Scan history not available

Unable to load historical scan data