Security Scan Report: smestreet.in

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Submitted: Jun 29, 2026, 2:43:03 PMCompleted: Jun 29, 2026, 2:44:33 PMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 12 domains to perform 2 HTTP transactions. The main domain is smestreet.in and was registered NaN years ago.

Submitted URL: https://smestreet.in/technology/honeywell-technologies-launches-as-independent-pure-play-automation-company-12117654

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

Legitimate news article with no credential collection; old domain and self‑branding, but high JS obfuscation yields moderate risk.

Risk Factors
High JavaScript obfuscation score with extensive eval() usage
Multiple eval() calls (55) indicating dynamic code execution
Circular redirect detected (moderate signal)
Safety Factors
Old, well‑established domain (registered 2014)
Self‑branding aligns with domain, not impersonating another brand
No credential or payment collection forms
No IoC or malware YARA matches
No network‑level IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

Honeywell Technologies Launches as Independent, Pure-play Automation Company

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(44%)

Domain Information

Domain 'smestreet.in' uses the Indian country-code top-level domain (.in) without a subdomain. Count 9 characters in 'smestreet' holding 3 vowels versus six consonants. Segmentation suggests 3 words: s, me, street. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://smestreet.in/technology/honeywell-technologies-launches-as-independent-pure-play-automation-company-12117654

Page Load Overview

4.27s
Total Load Time
101
HTTP Requests
26
Domains
1.5 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:64,396 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business44% confidence
Type: webapp
Method: ml+structural

All Detected Categories

corporate business
44%
documentation technical
31%
news/blog
20%
forum
20%

Detected Features

Search
Articles
OG: Article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11104.18.39.141United States
AS13335Cloudflare, Inc.
9142.251.150.119United States
AS15169Google LLC
9142.251.14.97United States
AS15169Google LLC
9104.16.37.6United States
AS13335Cloudflare, Inc.
965.8.131.27United States
AS16509Amazon.com, Inc.
916.12.36.6Mumbai, Maharashtra, India
AS16509Amazon.com, Inc.
9142.250.154.132United States
AS15169Google LLC
9142.251.13.155United States
AS15169Google LLC
9104.17.111.223United States
AS13335Cloudflare, Inc.
9142.251.127.84United States
AS15169Google LLC
10111--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11DB4E731F840293FA63B06C4E789D71A71D6A21FE5990810F1EE076847E5E7CB52E2E7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:2UTOqaIaia7aQaBO8OIaBaCaY6NxosezFrg:TaIaia7aQaXaBaCaBos7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500238:Oo4aQBAGSABoOBgH4hZSgQgzIYFCbgQXYQCSmyDyKMLAoR+gDRAQ2KSgMQ+A6EKV3SCwswcAEXQUNYEgGAQAUHQwBKYk5AIg

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:0000181c38380000
Perceptual Hash:99cc72e2d896cd1c
Difference Hash:cc33323333b31b1b
Wavelet Hash:008399bdbdfb8b81
Color Hash:#79d292

Scan History

Scan history not available

Unable to load historical scan data