Security Scan Report: www.jenniferhallmark.com

Submitted: Apr 21, 2026, 7:36:32 PMCompleted: Apr 21, 2026, 7:37:45 PMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 14 domains to perform 37 HTTP transactions. The main domain is jenniferhallmark.com and was registered NaN years ago.

Submitted URL: https://www.jenniferhallmark.com/friday-fiction-project-hail-mary-by-andy-weir/

AI Security Verdict

Moderate Risk

Confidence: 95%

5
Risk Score

The site impersonates Netflix on an unranked, old domain and shows compromised WordPress paths, indicating a high‑risk brand impersonation scam.

Risk Factors
Brand impersonation on unranked domain
Compromised WordPress site paths
Unranked domain (not in Cisco Umbrella top 1M)
Presence of external CDN resources (common but adds to complexity)
Potential typo‑squatting of a major brand (Netflix)
Safety Factors
Domain age > 17 years (well‑established)
No malicious Indicators of Compromise detected
No JavaScript malware or credential exfiltration
No network IDS alerts
Page type is an article (og:type=article) with no login/payment forms
Established domain (6518 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

Friday Fiction: Project Hail Mary by Andy Weir - Review by AS Hardin

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(68%)

Domain Information

The domain name 'www.jenniferhallmark.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The second-level label 'jenniferhallmark' is 16 characters long split between 5 vowels and eleven consonants. Tokenizing the label suggests 2 words: jennifer, hallmark. Expect eight characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.jenniferhallmark.com/friday-fiction-project-hail-mary-by-andy-weir/

Page Load Overview

3.84s
Total Load Time
86
HTTP Requests
18
Domains
529 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:6,355 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content68% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
68%
news/blog
50%
entertainment media
37%
documentation technical
36%
corporate
35%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
923.75.65.27Germany
7142.251.20.94United States
AS15169Google LLC
7104.26.13.212Germany
7172.217.168.74United States
AS15169Google LLC
7192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
7192.0.77.32San Francisco, California, United States
AS2635Automattic, Inc
7162.241.218.133Phoenix, Arizona, United States
AS31898Oracle Corporation
7104.17.24.14United States
AS13335Cloudflare, Inc.
7192.0.77.37San Francisco, California, United States
AS2635Automattic, Inc
7192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
8612--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EE24085FEBB231757213A348F5C5B728A1AEC253DA014DE6BDBDE218CBC26A2017315D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Qkk3nMv4kwjtXJ7vlwiNeHOSS1Km+PdObCrHYB97a9EXC+kvpJjVd:Qk4kCJ7dwiNeux8kA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:217605:jQYBqLguMqiIlA5gSgghIkRAKiIOxhBQMgKJwMCEqvQAK/NBZoBEpNAAiggAwjBAGTiAi1lAHwtMA0BZXaUAESlHwBAUQgSC

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:ffdf879787ebc7ff
Perceptual Hash:bc1cc3e31c3cc1b6
Difference Hash:0a3a2e3b3a1a1e6a
Wavelet Hash:f7cb838383c3c30e
Color Hash:#88d22d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data