Security Scan Report: tonmang.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 34 IPs in 4 countries across 26 domains to perform 43 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://tonmang.pages.dev/posts/1994-november-telugu-panchangam-calendar/

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low-quality Telugu calendar/photo blog on a Cloudflare Pages subdomain. No credential or payment forms, no Indicators of Compromise, no brand impersonation, no malware patterns; IDS hits are informational pages.dev notices and uncorroborated obfuscator heuristics.

Risk Factors (3)
Unranked domain not present in the Cisco Umbrella top 1M
Hosted on the shared pages.dev platform, so the page's actual creation date is unknown and the parent-domain age is not attributable to it
Unranked third-party script host blissfuldes.com is loaded, though no page tampering, injected links or unrelated spam text is visible
Safety Factors (5)
No credential, login or payment form anywhere on the page
No Indicators of Compromise, YARA or kit-roster matches
No brand impersonation — the page uses only its own 'Mangtong' site name
Content reads as an informational calendar/photo blog post with an HTTPS-hosted search form
Only analytics and CDN cross-origin requests, with no credential handling
Domain age information unavailable

Details

Page Title

1994 November Telugu Panchangam Calendar / It is far more complex than the simple gregorian calendar normally used in the west and far more useful. - Mangtong

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'tonmang.pages.dev' is registered, featuring subdomain 'tonmang'. The core label 'pages' covers 5 characters holding two vowels versus 3 consonants. It segments into 1 word: pages. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tonmang.pages.dev/posts/1994-november-telugu-panchangam-calendar/

Page Load Overview

5.62s
Total Load Time
4.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,988 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
115.197.212.58Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1192.124.249.15Menifee, California, United States
AS30148Sucuri
1104.18.21.57Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
123.36.162.207Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
13.33.251.168Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
1142.251.13.119Google · CDNUnited States
AS15169Google LLC
4334--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10FD2FA125ECCE677039143909B2CEAEDF8175419E963CE96B14D3DA42B80E63CC6F9E4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:WnJldyOchmYm3Pj6S26Wefo0y0b7GLNkn0gaehrYrwWBaWF3c:WnJTyOOmYmfj6S26WSox0b7ykn0gaehR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29708:KgSmWSwhCTQiRqIw7MwJpBpgEwJuESHFIAGaHUAmQKQrCIkMyCAh2OeQGAoKDbkAOGeQEoAAoVcIRANeUhIpBphEQYwNEUow

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:ffcfffc7c7c7c7c7
Perceptual Hash:b0cfcd3230c9c6cd
Difference Hash:301c169e1e1e1e1e
Wavelet Hash:df87cb8783838383
Color Hash:#d23d2d

Scan History

Scan history not available

Unable to load historical scan data