Security Scan Report: stanford.enterprise.slack.com

Submitted: Apr 7, 2026, 11:45:51 PMCompleted: Apr 7, 2026, 11:46:38 PMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 1 country across 5 domains to perform 49 HTTP transactions. The main domain is stanford.enterprise.slack.com and was registered NaN years ago.

Submitted URL: https://stanford.enterprise.slack.com

The Cisco Umbrella rank of the primary domain is #1,372 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate Slack login page for Stanford University; no security concerns detected.

Safety Factors
Established domain with decades of registration
Top‑10 K Cisco Umbrella ranking indicating high reputation
Page title matches legitimate Slack workspace login
No suspicious forms or credential collection
No malicious Indicators of Compromise or malware detected
Domain age information unavailable

Details

Page Title

Sign in to Stanford University | Slack

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(47%)

Domain Information

You're looking at domain 'stanford.enterprise.slack.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'stanford.enterprise'. The core label 'slack' covers 5 characters with one vowel and four consonants. Segmentation suggests one word: slack. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://stanford.enterprise.slack.com

Page Load Overview

1.68s
Total Load Time
29
HTTP Requests
4
Domains
839 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-US
Text Length:2,593 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
47%
documentation technical
42%
social media network
41%
government public service
29%
corporate business
28%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.18.86.42United States
AS13335Cloudflare, Inc.
73.68.170.153United States
799.84.152.123United States
AS16509Amazon.com, Inc.
7146.75.120.106United StatesUnknown
294--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13D33D699576C4CBE40EA12708D966F4E96D7128BF2C649D0F58C0630178BF4EE34AF9E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:3kleBWZRUg0z2NegwGXySf5x0TgSyaGC/tEgtO7Q7JS:3kleBWZaXSNpNyS4tEn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:54914:MwAIVCHIAAkGHVAAQRKQWRgfgZoRFQERC7QQkJmFh0LCAhDUohCINXoENFUbZHAWSQINgFsFqPeDEKAA0AESBzqgYIIgoDMI

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:183c1c181c380000
Perceptual Hash:cc9933cc3366cc33
Difference Hash:3232323232303008
Wavelet Hash:3c3c3c3c3c3c3c00
Color Hash:#ccd279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data