Security Scan Report: letdid.com

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Submitted: Completed: publiccompleted
This website contacted 24 IPs in 1 country across 12 domains to perform 67 HTTP transactions. The main domain is letdid.com and was registered 1 week ago.

Submitted URL: https://letdid.com/airbnb-updates-house-rules-to-2.html

AI Security Verdict

Moderate Risk

Confidence: 62%

4
Risk Score

Newly registered ad-monetized news site publishing an article about Airbnb's policy. No credential/payment forms, no brand impersonation, no malware or threat-intel hits — low-quality content, not phishing.

Risk Factors (3)
Very recently registered domain (7 days) with no established reputation, hosting ad-monetized clickbait-style news content
Heavy third-party ad/analytics monetization (adtrafficquality.google, mrktmtrcs.net, dtscout.com) typical of ad-arbitrage content farms
Low-credibility sensational sidebar content ("BREAKING Tauranga Doctor Discovers Yaws In Young Visitor") alongside the article
Safety Factors (3)
Informational article page; no login, checkout, or data-collection form
Brand references to Airbnb are reporting/commentary, not impersonation of that brand
No Indicators of Compromise, no malware YARA patterns, no known phishing kit signature
Domain age information unavailable

Details

Page Title

Airbnb Updates House Rules To Limit Guest Checkout Chores

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'letdid.com' is registered. The second-level label 'letdid' is 6 characters long containing 2 vowels alongside 4 consonants. Tokenizing the label suggests 2 words: let, did. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://letdid.com/airbnb-updates-house-rules-to-2.html

Page Load Overview

1.94s
Total Load Time
916 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:4,680 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network96% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
96%
healthcare medical
92%
news media journalism
91%
entertainment media
91%
blog personal website
91%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.14.156Google · CDNUnited States
AS15169Google LLC
2104.26.4.7Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.14.138Google · CDNUnited States
AS15169Google LLC
2172.66.172.247Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.70.180Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.70.156Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.110.156Google · CDNUnited States
AS15169Google LLC
2142.251.110.132Google · CDNUnited States
AS15169Google LLC
2188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6724--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18CE2C433A5D1153B123A12D4F2E6B3ECBD27810FE7564D3071EC27381B86FA7156A4AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:MeTAcAkAnASqmELAPANJxAEASR/H8bS5bSJP:MeTAcAkAnASqLLAPANJxAEAt+5SJP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32159:AwoJOABcyOtAFAtIFQO0NGtFCoAYAVEAEDE7UmAMgH2qCAVDJaKCAhkCxlHSAknSIItQABFA0AYGEnwAkNCngSwWkCAuZmlm

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:c3e7ffffc3c3c3cf
Perceptual Hash:e4db31649b98c699
Difference Hash:969e18739686969f
Wavelet Hash:c2c2c6ebc3c3c3c3
Color Hash:#8479d2

Scan History

Scan history not available

Unable to load historical scan data