Security Scan Report: submit.jotform.com

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Submitted: May 31, 2026, 1:44:53 AMCompleted: May 31, 2026, 1:46:24 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is submit.jotform.com and was registered NaN years ago.

Submitted URL: https://submit.jotform.com

The Cisco Umbrella rank of the primary domain is #15,649 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #15,649.

Safety Factors
Well-established domain (ranked #15,649)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

Free Online Form Builder & Form Creator for 2026 | Jotform

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(88%)

Domain Information

The domain 'submit.jotform.com' uses the commercial generic top-level domain (.com), featuring subdomain 'submit'. The core label 'jotform' covers 7 characters split between 2 vowels and five consonants. Splitting it apart reveals 2 words: jot, form. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://submit.jotform.com

Page Load Overview

1.81s
Total Load Time
28
HTTP Requests
2
Domains
17 KB
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:6,195 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software88% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
88%
government public service
46%
finance banking
46%
documentation technical
42%
healthcare medical
40%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1434.102.158.113Kansas City, Missouri, United States
AS396982Google LLC
1434.95.78.210Kansas City, Missouri, United States
AS396982Google LLC
282--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T114B46BA28371223C50135BF8F6959B5C751A80BBEF430D64F2F8AE1987C68AC4567CDB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:KgZAbxGdIlG9zKjSPT+YvLNRFAQxxWBXCDzCy4le744:zZAbxGdIlGoOPT+YvLNRFuEzCy4le744

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:519628:AQNiBBJmFwASxqIXiD4OFViEHCiQbgiipN0CERQRUZEkgAoDLhMBACIBAASDwYoJHEAYNAIWEBJGxxgkzE6CBJhFbwB6GGqR

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:fdc3ff8581ffffff
Perceptual Hash:be72c1c13e1ec1c9
Difference Hash:491e262d2b0a3068
Wavelet Hash:a5c2818581e39fbf
Color Hash:#ac536b

Scan History

Scan history not available

Unable to load historical scan data