Security Scan Report: gis.stackexchange.com

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Submitted: Completed: publiccompleted
This website contacted 171 IPs in 7 countries across 117 domains to perform 477 HTTP transactions. The main domain is stackexchange.com and was registered 17 years ago.

Submitted URL: https://gis.stackexchange.com/questions/212320/incorrect-length-from-flow-length-tool

The Cisco Umbrella rank of the primary domain is #22,110 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate Stack Exchange GIS question thread on its own long-established domain. The brand-impersonation flag is a false positive on generic 'meta' tag text; no phishing, credential harvesting or malware signals.

Safety Factors (5)
Domain registered 2009-06-12 (6,325 days old), well-established
Cisco Umbrella ranked (22,110)
All JavaScript served from the site's own domain
Forms are first-party account/answer forms with no external submission
No threat-intelligence, YARA, Safe Browsing or IDS matches
Domain age information unavailable

Details

Page Title

arcgis desktop - Incorrect length from Flow Length tool - Geographic Information Systems Stack Exchange

Scan Type

public

Domain Name Analysis

You're looking at domain 'gis.stackexchange.com' on the commercial generic top-level domain (.com), featuring subdomain 'gis'. The core label 'stackexchange' covers 13 characters holding 4 vowels versus nine consonants. Breaking it apart gives 2 words: stack, exchange. The median word length lands at 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gis.stackexchange.com/questions/212320/incorrect-length-from-flow-length-tool

Page Load Overview

0.34s
Total Load Time
4.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:22,818 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical49% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
49%
technology software
44%
forum
35%
corporate
35%
government public service
32%

Detected Features

Search
Comments
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
137198.252.206.1Cloudflare · CDNUnited States
AS13335Cloudflare, Inc.
2104.18.86.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2192.178.183.95Google · CDNUnited States
AS15169Google LLC
2198.252.206.17Cloudflare · CDNUnited States
AS13335Cloudflare, Inc.
2157.240.0.13Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
2142.251.20.132Google · CDNUnited States
AS15169Google LLC
2142.251.14.97Google · CDNUnited States
AS15169Google LLC
2172.64.155.119Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.13.157Google · CDNUnited States
AS15169Google LLC
477171--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16684F91779A0263E92D38398A6A27B49B561D94FFD7758ECF19C43B80BCDFD18C12209

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:z0RALP6UnQ5Y+w0BENBvsXPSlR63M+Eu+KCKXGWHXGK4/vjsTLHvlOiURK:TLg5Vw0T8+LqvjsTLHN8K

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:405752:A0AIQAJkEi4IIABQ6gLEQh4EEBnRhAI8mhJCjqo0ACRcTHSSsIYQCggCQCQNEoAYp41NDXANQAWwF4YGqCRYEmiAANSAIL0c

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:00fffff727e3e77f
Perceptual Hash:a6591966065d7f19
Difference Hash:d61b1bad4f4dcfd3
Wavelet Hash:00fdcf472323233f
Color Hash:#77862d

Scan History

Scan history not available

Unable to load historical scan data