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LIMITED DATA

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Security Scan Report: resources-app.encharge.io

Submitted: Dec 4, 2025, 11:15:00 AMCompleted: Dec 4, 2025, 11:16:57 AMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is resources-app.encharge.io and was registered NaN years ago.

Submitted URL: https://resources-app.encharge.io/

The Cisco Umbrella rank of the primary domain is #331,082 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (over 7 years old)
No malicious Indicators of Compromise matches
No password, payment, or other sensitive data collection
Standard hosting environment
Domain age information unavailable

Details

Page Title

403 Forbidden

Scan Type

public

Domain Information

You're looking at domain 'resources-app.encharge.io' on the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'resources-app'. Its registrable label 'encharge' stretches across 8 characters containing three vowels alongside five consonants. Breaking it apart gives two words: en, charge. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://resources-app.encharge.io/

Page Load Overview

0.24s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.26.12.72United States
AS13335CLOUDFLARENET
0172.67.70.167United States
AS13335CLOUDFLARENET
02606:4700:20::681a:d48United States
AS13335CLOUDFLARENET
02606:4700:20::681a:c48United States
AS13335CLOUDFLARENET
0104.26.13.72United States
AS13335CLOUDFLARENET
02606:4700:20::ac43:46a7United States
AS13335CLOUDFLARENET
26--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T109E07D47600DD488F55332817DEB72907BC7C238572907F25B82A0D2B4514BACD131CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxUigsoCXLxqDgs0d1ajum5vWU5p0CfXXdcHpKQxqZgjL5AqWKqz:kxRgsoCbxMgs0anWop0Cf9gygjLqtj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:5104086eb08ab2be1550d6a2397794b2

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:3f1f00ffffffff01
Perceptual Hash:8f1f0f872ac06ad5
Difference Hash:6074750000010001
Wavelet Hash:0f0f00eff0f0ff00
Color Hash:#3ad22d

Other Hashes

Crop Resistant:6074750000010001

Scan History

Scan history not available

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