Security Scan Report: team-1614279537077.atlassian.net

Redirected to: https://id.atlassian.com/login?continue=https%3A%2F%2Fid.atlassian.com%2Fjoin%2Fuser-access%3Fresource%3Dari%253Acloud%253Ajira%253A%253Asite%252Fc6d8a19f-cd9e-4190-b8d1-e55d993a6806%26continue%3Dhttps%253A%252F%252Fteam-1614279537077.atlassian.net%252F&application=jira&orgId=a9b6j37d-ab7c-1372-k6b3-c88b770j9629

Site favicon
Submitted: Feb 5, 2026, 6:25:35 PMCompleted: Feb 5, 2026, 6:27:00 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is id.atlassian.com and was registered NaN years ago.

Submitted URL: https://team-1614279537077.atlassian.net

Effective URL: https://id.atlassian.com/login?continue=https%3A%2F%2Fid.atlassian.com%2Fjoin%2Fuser-access%3Fresource%3Dari%253Acloud%253Ajira%253A%253Asite%252Fc6d8a19f-cd9e-4190-b8d1-e55d993a6806%26continue%3Dhttps%253A%252F%252Fteam-1614279537077.atlassian.net%252F&application=jira&orgId=a9b6j37d-ab7c-1372-k6b3-c88b770j9629Redirected

The Cisco Umbrella rank of the primary domain is #3,351 of the top 1 million websitesTop 10K Site

AI Security Verdict

Low Risk

Confidence: 95%

2
Risk Score

Official Atlassian login page; no significant security concerns.

Risk Factors
Hidden password field exists in HTML but not visible in screenshot
Safety Factors
Domain age: 9089 days (well‑established)
Cisco Umbrella ranking: top 10 k
No JavaScript malware patterns detected
Standard login form with email/username and password fields
Meta description aligns with Atlassian branding
Domain age information unavailable

Details

Page Title

team-1614279537077.atlassian.net

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(94%)

Domain Information

Within the network infrastructure generic top-level domain (.net), 'team-1614279537077.atlassian.net' is registered with subdomain 'team-1614279537077'. The core label 'atlassian' covers 9 characters split between 4 vowels and five consonants. Splitting it apart reveals three words: at, lassi, an. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://team-1614279537077.atlassian.net

Page Load Overview

9.96s
Total Load Time
20
HTTP Requests
5
Domains
0 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
Text Length:395 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software94% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
94%
documentation technical
49%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2013.227.180.4United States
AS16509Amazon.com, Inc.
201--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B0048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:LfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszY2bMy8Oldq:0hoC9JSqzzbs6o3Sj3gcrs02eA4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184551:CDAYLcjElAnCoLKbLaRggEBiiDogcYFOS1YgIZASHiAQYgRF8gIQICKEnEOAEQAM4ABmqiTEIZHgsk6AmegLhEJhNUpIhQCD

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:fcdcc0c8f0f0f0f0
Color Hash:#d279a0

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data