Security Scan Report: formstack.io

Submitted: Jan 21, 2026, 5:02:03 PMCompleted: Jan 21, 2026, 5:03:38 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 3 domains to perform 11 HTTP transactions. The main domain is formstack.io and was registered NaN years ago.

Submitted URL: https://formstack.io

The Cisco Umbrella rank of the primary domain is #214,546 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected threats.

Safety Factors
Well-established domain (>8 years old)
No malicious Indicators of Compromise matches
No credential or payment collection forms
No external links or redirects
No phishing or brand impersonation cues
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'formstack.io' is registered without a subdomain. Count 9 characters in 'formstack' with 2 vowels and 7 consonants. Splitting it apart reveals 2 words: form, stack. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://formstack.io

Page Load Overview

2.67s
Total Load Time
10
HTTP Requests
3
Domains
349 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
0
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
552.167.179.134Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
513.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
102--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T191419B671825881E7224A5C5EAC2379DC5D6D70FCFA86C51B1CB0276EBE0DF06892B19

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:h35foaGY9g6VGsS6+h8DF6iG6hBLGUE6JjWt2vb+4wiOLPNA2PN/8PN0dPNRPNEF:3foSN6hSd5BykjuS49t8M3Stiyx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1891:AAEQAiAIBAAAAAAAgCAFQgAQAAAFAAABIAAEAAQQAEIgQAABAAIAAAAAAAEAgRAIAABAABAgAAAACARAEA4AAAAAAAABCgQE

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#78931f

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data