Security Scan Report: mailfoogae.appspot.com

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Submitted: Aug 29, 2026, 11:52:56 AMCompleted: Aug 29, 2026, 11:55:04 AMpubliccompleted

Summary

This website contacted 49 IPs in 3 countries across 35 domains to perform 1 HTTP transaction. The main domain is mailfoogae.appspot.com and was registered 21 years ago.

Submitted URL: https://mailfoogae.appspot.com

The Cisco Umbrella rank of the primary domain is #64,821 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Page impersonates Streak brand and collects email via a cross‑origin form; no malicious code detected but moderate risk.

Risk Factors
Brand impersonation without matching domain
Cross‑origin email collection form
Safety Factors
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 5 to 3
Domain age information unavailable

Details

Page Title

Streak: Gmail CRM for High-Performing Teams

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(57%)

Domain Information

You're looking at domain 'mailfoogae.appspot.com' on the commercial generic top-level domain (.com) and includes subdomain 'mailfoogae'. Its registrable label 'appspot' stretches across 7 characters holding two vowels versus five consonants. Breaking it apart gives 2 words: app, spot. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of ad.doubleclick.net

Page Load Overview

10.04s
Total Load Time
116
HTTP Requests
35
Domains
2.4 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:3,274 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning57% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
57%
technology software
38%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2192.178.183.153Google · CDNUnited States
AS15169Google LLC
2162.159.138.60Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
234.144.171.27Google · CDNUnited States
AS396982Google LLC
2172.67.75.234Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2151.101.66.217Fastly · CDNUnited States
AS54113Fastly, Inc.
2104.18.160.117Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.110.97Google · CDNUnited States
AS15169Google LLC
213.226.247.67Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2104.26.9.186Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
11649--

Page Statistics

116
Requests
35
Unique Domains
3.5 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17B41A533EEB0481A27614671BD84B05C978BE35F95A96800FCFDE28D2590A37E97A30C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:hy/Di+aGRFIR2mbPUe2mb3bkU72mbnTZTQFYDoUNHB7PiUijJLgnC4iGba2r:hyu+pz82mbH2mb3p2mbVTGYDoudK5jJE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2393:EBigygAMBAAQACgAAAACCAAAQAICCggAAgASAAAABCEACIEAQCAAAAAAQAEAAACAAAQgAAACACEgQJUBEIAAIAAAAAAABJAA

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:f9e7c3e7899ba7cf
Perceptual Hash:eb62cac9c9626969
Difference Hash:3b4c8e2f133b2a1b
Wavelet Hash:b9e7c381899b8387
Color Hash:#c4c587

Other Hashes

Crop Resistant:3b4c8e2f133b2a1b

Scan History

Scan history not available

Unable to load historical scan data