Security Scan Report: rishiinfotech.org

Redirected to:
blob:https://emoslimes.com/3cdc1c0a-223a-4184-b9cb-a07ea4d402ba#
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Submitted: Jul 8, 2026, 12:57:20 AMCompleted: Jul 8, 2026, 12:57:59 AMpubliccompleted
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Summary

This website contacted 5 IPs in 4 countries across 6 domains to perform 6 HTTP transactions. The main domain is and was registered NaN years ago.

Submitted URL: https://rishiinfotech.org/images/enpzocw/qauoxzn/lixvwqy/dww.html

Effective URL: blob:https://emoslimes.com/3cdc1c0a-223a-4184-b9cb-a07ea4d402ba#Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

The site impersonates American Express, collects login credentials via a form, and uses blob URLs—characteristics of a credential phishing page.

Risk Factors
Brand impersonation of a major financial institution
Credential collection form
Blob URL scheme indicating dynamic page assembly
Unranked / low‑reputation domain
Cross‑domain final URL (blob on emoslimes.com)
Domain age information unavailable

Details

Page Title

Log in to My Account | American Express US

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(41%)

Domain Information

The domain name 'rishiinfotech.org' uses the non-profit oriented generic top-level domain (.org). The second-level label 'rishiinfotech' is 13 characters long split between five vowels and eight consonants. Tokenizing the label suggests three words: rishi, info, tech. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rishiinfotech.org/images/enpzocw/qauoxzn/lixvwqy/dww.html

Page Load Overview

2.02s
Total Load Time
6
HTTP Requests
6
Domains
373 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:4,114 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content41% confidence
Type: webapp
Method: ml+structural

All Detected Categories

adult content
41%
government public service
36%
finance banking
26%
social_media
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2204.209.50.49Minneapolis, Minnesota, United States
AS10242US Internet Corp
1103.120.179.247Navi Mumbai, Maharashtra, India
AS141004QTIME BUSINESSES PRIVATE LIMITED
1104.102.14.105Hamburg, Free and Hanseatic City of Hamburg, Germany
AS16625Akamai Technologies, Inc.
123.227.39.200Ottawa, Ontario, Canada
AS13335Cloudflare, Inc.
123.52.181.182Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
65--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T132443B23666A5159641E3CAB4BD72E8E7A04F093C803C744F0ED49DCAF9F780A9997DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:B4xmu8fbf/vug0wbLj26HgTkxmu8fbf/vug0wbLj2fWm5biWD:nf/tjgTxf/tj45LD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:274314:AAoEwtNSIWABHgSARBAkFATAAGUAIEAYTMifwQ8LGCuQUYHAcFHAMat6SEBOkGArhQEUUBwFLTAUCDSlgULAEDAIQIowSCoI

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:bdf2f2c6ceffffff
Perceptual Hash:e464ce999b9b8626
Difference Hash:792624989a621a0a
Wavelet Hash:bd30100800fefbff
Color Hash:#a0d279

Other Hashes

Scan History

Scan history not available

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