Security Scan Report: talkingpointsmemo.com

Site favicon
Submitted: Dec 14, 2025, 5:09:13 PMCompleted: Dec 14, 2025, 5:10:38 PMpubliccompleted
Loading additional data...

Summary

This website contacted 128 IPs in 7 countries across 47 domains to perform 203 HTTP transactions. The main domain is talkingpointsmemo.com and was registered NaN years ago.

Submitted URL: https://talkingpointsmemo.com/news/fetterman-letter-netanyahu-pardon

The Cisco Umbrella rank of the primary domain is #179,132 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

Legitimate news site with minor external link risk

Risk Factors
External link to a malicious domain (sibautomation.com)
Circular redirect pattern
Safety Factors
Domain age > 25 years indicates established site
No forms collecting passwords, emails, or payment data
Content appears to be a legitimate news article
Domain is a known reputable news source
Domain age information unavailable

Details

Page Title

Fetterman Writes Letter Asking Israel’s President to Pardon Netanyahu

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(35%)

Domain Information

Domain 'talkingpointsmemo.com' uses the commercial generic top-level domain (.com) with no subdomain. Count 17 characters in 'talkingpointsmemo' with 6 vowels and 11 consonants. Word splitting yields 3 words: talking, points, memo. Expect six characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://talkingpointsmemo.com/news/fetterman-letter-netanyahu-pardon

Page Load Overview

17.01s
Total Load Time
203
HTTP Requests
47
Domains
3.1 MB
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:67,399 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog35% confidence
Type: static
Method: ml+structural

All Detected Categories

news/blog
35%
forum
35%
government public service
33%
adult content
29%
social_media
25%

Detected Features

Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
763.174.113.33United States
AS16509AMAZON-02
152.35.29.33Boardman, Oregon, United States
AS16509AMAZON-02
1108.156.22.9United States
AS16509AMAZON-02
1142.251.38.74United States
AS15169GOOGLE
1216.58.210.131United States
AS15169GOOGLE
1104.16.79.6United States
AS13335CLOUDFLARENET
1104.16.78.6United States
AS13335CLOUDFLARENET
13.164.208.215United States
AS16509AMAZON-02
1142.251.38.78United States
AS15169GOOGLE
1199.232.173.44Stockholm, Stockholm County, Sweden
AS54113FASTLY
203128--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T104B4D531F840193F663B45C4E799970E71C6E31FF4990410E6EA47284BE9EB8F52E2A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vnbMal5sBC5uRFBGC8qLwA7vPmSU0YygNVkYgvZgSb0ztedAk2AHBfHeRgHSg3t7:PAalTYRiteqqOEhi65RKMR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500498:ahBhAwX0sAABIHQJIyQEBQ4xCbpAIApHhphcgAg1Q8AQpIkzQUwEI0IEFEAVoBCmKXYMEgKKDNkAggIqyCACTkD4HmRJIAoe

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:00181c1c18180000
Perceptual Hash:989c662e3e1e9c3a
Difference Hash:2932b2b2b2332b0f
Wavelet Hash:993d1d3d3d3d1901
Color Hash:#8d2dd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data