Security Scan Report: app.acquire.com

Redirected to: https://app.acquire.com/signin?route=/

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Submitted: Nov 24, 2025, 11:32:05 PMCompleted: Nov 24, 2025, 11:33:44 PMpubliccompleted
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Summary

This website contacted 137 IPs in 2 countries across 38 domains to perform 131 HTTP transactions. The main domain is app.acquire.com and was registered NaN years ago.

Submitted URL: https://app.acquire.com/

Effective URL: https://app.acquire.com/signin?route=/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No credential or payment collection fields
Standard third‑party OAuth login buttons
Domain age information unavailable

Details

Page Title

Acquire, the #1 Startup Acquisition Marketplace

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(89%)

Domain Information

You're looking at domain 'app.acquire.com' on the commercial generic top-level domain (.com), featuring subdomain 'app'. The second-level label 'acquire' is 7 characters long with four vowels and 3 consonants. It segments into one word: acquire. Expect seven characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.acquire.com/

Page Load Overview

2.68s
Total Load Time
131
HTTP Requests
38
Domains
3.3 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:186 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network89% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
89%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
131104.17.128.172United States
AS13335CLOUDFLARENET
35199.36.158.100United States
AS54113FASTLY
1634.107.218.251Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
11104.17.23.24United States
AS13335CLOUDFLARENET
7157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
6104.17.91.187United States
AS13335CLOUDFLARENET
6216.239.34.36United States
AS15169GOOGLE
6104.17.92.187United States
AS13335CLOUDFLARENET
5142.250.185.232United States
AS15169GOOGLE
365.8.131.58United States
AS16509AMAZON-02
131137--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T164925BB63490A1B663330BE0F4B3F5287057356FDB128574D0B496E8A7A8EDA4C53CE9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:yFST7MdTeijS9o2X1PSDStry4kVdQZv4Rd152A9:ykHMdTBjS9o2X1USQV6Zv4Rr52A9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21116:a0jESZ2SyBgqElIABA+CqUGAAEDAEQKRAIJKJARAwUKCgMImCCEY4ghwBChfVGoEwRcgGQDrUsKQmhEyJVEBHjAkYAAZRFOB

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:a7e7efefefc3efff
Perceptual Hash:b30e8e378d8d268d
Difference Hash:680c0c18140c0800
Wavelet Hash:00c3c3c3c3c3c3ff
Color Hash:#bf4062

Other Hashes

Crop Resistant:680c0c18140c0800

Scan History

Scan history not available

Unable to load historical scan data