Summary
This website contacted 191 IPs in 6 countries across 62 domains to perform 231 HTTP transactions. The main domain is theoutlookonline.com and was registered NaN years ago.
Submitted URL: https://theoutlookonline.com/2025/12/01/pge-apologizes-investigates-false-alarm-sirens-at-rivermill-dam/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
PGE apologizes, investigates false alarm sirens at Rivermill Dam | The Outlook
Scan Type
public
Language
English
Category
education learning
(58%)Domain Information
The domain name 'theoutlookonline.com' uses the commercial generic top-level domain (.com) without a subdomain. Count 16 characters in 'theoutlookonline' containing 8 vowels alongside 8 consonants. Tokenizing the label suggests 3 words: the, outlook, online. Expect 6 characters per word on average. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 37 | 192.0.66.167 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 22 | 188.240.13.1 | Netherlands | AS39572DataWeb Global Group B.V. |
| 13 | 16.182.100.81 | Ashburn, Virginia, United States | AS16509AMAZON-02 |
| 11 | 108.138.4.226 | United States | AS16509AMAZON-02 |
| 11 | 100.24.93.9 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 11 | 18.66.147.85 | United States | AS16509AMAZON-02 |
| 10 | 52.222.232.61 | United States | AS16509AMAZON-02 |
| 9 | 13.35.58.85 | United States | AS16509AMAZON-02 |
| 9 | 3.160.150.117 | United States | AS16509AMAZON-02 |
| 8 | 57.129.85.99 | Frankfurt am Main, Hesse, Germany | AS16276OVH SAS |
| 231 | 191 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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