Security Scan Report: dcist.com

Submitted: Jun 19, 2026, 2:36:47 PMCompleted: Jun 19, 2026, 2:38:15 PMpubliccompleted
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Summary

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

Submitted URL: https://dcist.com/story/20/08/05/dc-specific-memes-trump-axios/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The page is a legitimate news article with no phishing, malware, or credential‑harvesting indicators.

Safety Factors
Established domain with long registration history
Self‑branding aligns with domain
No malicious scripts or network alerts detected
Domain age information unavailable

Details

Page Title

Of Course There Are D.C.-Specific Memes About Trump’s Axios Interview | DCist

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(52%)

Domain Information

Domain 'dcist.com' uses the commercial generic top-level domain (.com) and has no subdomain. Its registrable label 'dcist' stretches across 5 characters split between one vowel and four consonants. Segmentation suggests two words: dci, st. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dcist.com/story/20/08/05/dc-specific-memes-trump-axios/

Page Load Overview

3.02s
Total Load Time
33
HTTP Requests
7
Domains
2.3 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
Text Length:3,858 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
52%
news media journalism
33%
entertainment media
26%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1713.32.121.50New York, New York, United States
AS16509Amazon.com, Inc.
1623.212.218.26Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
332--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F8B2C6B3A5F1402A52A3E2C2A6207E1EFEA1D057C9098981B3DD45DCAFD7F93E91711C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:zikDNQeLKSyS9hnzVNGJV0SNApb+AHGxT3r3NnioAMVyw:2k5QeLKnSjnB+VjNApb+MCTDEoAMVyw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25227:AQypocAAhbgQHBVjRcUAgUI3gCpcmIEiBwJI+04iQEoAkUDzTRByAIAywYIBJwSAxeCSf5BIQAIYQsOBkgpwQDgqxogKAQKU

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:00000000ffffcfcf
Perceptual Hash:be6b38944b32cb94
Difference Hash:55514145b0bcbcbc
Wavelet Hash:01000000ffffffdf
Color Hash:#8be06c

Scan History

Scan history not available

Unable to load historical scan data