Security Scan Report: www.pissedconsumer.com

Redirected to:
https://www.pissedconsumer.com/post-complaint.html?firm_id=179089
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Submitted: May 4, 2026, 5:59:17 AMCompleted: May 4, 2026, 6:00:52 AMpubliccompleted
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Summary

This website contacted 39 IPs in 5 countries across 36 domains to perform 75 HTTP transactions. The main domain is pissedconsumer.com and was registered NaN years ago.

Submitted URL: http://www.pissedconsumer.com/post-complaint.html?firm_id=179089

Effective URL: https://www.pissedconsumer.com/post-complaint.html?firm_id=179089Redirected

The Cisco Umbrella rank of the primary domain is #317,688 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site is old and self‑branded but shows moderate risk due to payment fields, heavy JS obfuscation, low domain ranking, and many redirects.

Risk Factors
Payment form fields on a non‑brand site
High JavaScript obfuscation score
Low Cisco Umbrella ranking
Excessive redirects (7)
Presence of external tracking/CDN domains
Safety Factors
Domain age >19 years (well‑established)
Self‑branding matches domain (no brand impersonation)
No malicious Indicators of Compromise
No JavaScript malware YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

Write a Review Online @ PissedConsumer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(61%)

Domain Information

Domain 'www.pissedconsumer.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The core label 'pissedconsumer' covers 14 characters containing five vowels alongside 9 consonants. Segmentation suggests 2 words: pissed, consumer. Median word length comes out to 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.pissedconsumer.com/post-complaint.html?firm_id=179089

Page Load Overview

2.41s
Total Load Time
75
HTTP Requests
36
Domains
816 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
Text Length:64,673 chars
Detector Agreement:80%

Website Classification

Primary Category

e-commerce shopping61% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
61%
technology software
58%
documentation technical
50%
government public service
49%
corporate business
42%

Detected Features

Payment
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3799.84.152.127United States
AS16509Amazon.com, Inc.
1216.239.34.36United States
AS15169Google LLC
13.209.249.255Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
150.31.142.255Chicago, Illinois, United States
AS22075Outbrain, Inc.
113.226.244.84United States
AS16509Amazon.com, Inc.
1172.66.148.159United States
AS13335Cloudflare, Inc.
1142.251.127.102United States
AS15169Google LLC
1104.20.22.97United States
AS13335Cloudflare, Inc.
152.242.103.142Boydton, Virginia, United States
AS8075Microsoft Corporation
1172.64.145.29United States
AS13335Cloudflare, Inc.
7539--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B8B46131F840193FAA3F44C4A74AD70A71D6A31FF4E90410D5DA47684AE9E78F52E2E7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Vab7U4ncIIIIs8Vnm8yPocwWtbHBLpVAHVT5d3hiaKfXFG0XInxUerm0OsutW0Jg:kb7U4GKMhiBtLky/Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500165:BoJHThIIlYHEBAoizUmgBFgzkEQANA3EBORRDEJKFEgLoKQoQBQaDEGSABUvuAhykBo46AJhEI0ELpggFCoOQQoAxJrSSAi4

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:00003c1c1c3c0000
Perceptual Hash:9c1f636298c3cd9c
Difference Hash:1970723232b2e0b0
Wavelet Hash:002c3e3e1e3e7e1e
Color Hash:#784e3a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data