Security Scan Report: c.us.heap-api.com

Redirected to: https://www.heap.io/

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Submitted: Dec 3, 2025, 3:52:47 PMCompleted: Dec 3, 2025, 3:54:59 PMpubliccompleted
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Summary

This website contacted 107 IPs in 2 countries across 22 domains to perform 121 HTTP transactions. The main domain is heap.io and was registered NaN years ago.

Submitted URL: https://c.us.heap-api.com/

Effective URL: https://www.heap.io/Redirected

The Cisco Umbrella rank of the primary domain is #4,138 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Official brand domain
No malicious Indicators of Compromise matches found
No password or payment fields
Domain age information unavailable

Details

Page Title

Heap - Better Insights. Faster. | Heap

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(58%)

Domain Information

The domain 'c.us.heap-api.com' uses the commercial generic top-level domain (.com), featuring subdomain 'c.us'. The registrable portion 'heap-api' spans 8 characters holding four vowels versus three consonants, notching one hyphen. Breaking it apart gives 2 words: heap, api. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://c.us.heap-api.com/

Page Load Overview

1.90s
Total Load Time
121
HTTP Requests
22
Domains
7.2 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:12,014 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software58% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
58%
corporate
25%
news/blog
20%

Detected Features

Search
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3515.197.167.90United States
AS16509AMAZON-02
3013.33.187.2New York, New York, United States
AS16509AMAZON-02
15151.101.2.217San Francisco, California, United States
AS54113FASTLY
14146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
12104.18.86.42United States
AS13335CLOUDFLARENET
7104.16.93.80United States
AS13335CLOUDFLARENET
418.158.205.16Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
318.66.122.79United States
AS16509AMAZON-02
23.174.46.83United States
AS16509AMAZON-02
113.33.187.102New York, New York, United States
AS16509AMAZON-02
121107--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16464B87621209C3A761383D6B4F53948E5F7713AE5868888F5A09B60C1CFF6E6C0776B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:cqrfCQjlPlADa2U9vRb7mG4DOmf4gSWuLO4f+5TVJoSN5zRDef:ADxUkDQWl5VfN7c

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:324512:ksQZIAgRRyRMYG0lBCAvKSwjU1kJBwGBxRgYMlcMxIEoELnIqAAtiUqSyCapyRZhhAEDQRQG9IQBI0QAAtQIGNjKWgpQXgCQ

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:0000ffffffffffef
Perceptual Hash:ab0e314eb1c4b38f
Difference Hash:f59549002b2b151e
Wavelet Hash:00003fff81c7c7e7
Color Hash:#40bf59

Other Hashes

Scan History

Scan history not available

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