Security Scan Report: staging.auth-self.bringid.org

Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 1 domain to perform 13 HTTP transactions. The main domain is bringid.org and was registered 1 year 4 months ago.

Submitted URL: https://staging.auth-self.bringid.org

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

Bare staging verification page on an established domain; no forms, no credential capture and no threat-intel, hunting rule, IDS or Safe Browsing hits. Self.xyz appears as an integrated protocol, not impersonation.

Risk Factors (2)
Staging/unfinished verification page left publicly reachable with no substantive content
Domain is unranked in Cisco Umbrella and the flow presents a third-party protocol brand on a non-official domain (weak context only, no credential collection)
Safety Factors (4)
Domain is 504 days old (established registration) and is a subdomain of an existing service domain
No credential, password, or payment forms anywhere in the captured DOM
No Indicators of Compromise, no Safe Browsing/hunting rule/IDS detections, no obfuscated or exfiltrating JavaScript
Self.xyz reference is consistent with an integration of that open identity protocol rather than impersonation
Domain age information unavailable

Details

Page Title

Self.xyz Verification

Scan Type

public

Domain Name Analysis

You're looking at domain 'staging.auth-self.bringid.org' on the non-profit oriented generic top-level domain (.org) and includes subdomain 'staging.auth-self'. Its registrable label 'bringid' stretches across 7 characters split between two vowels and five consonants. Segmentation suggests 2 words: bring, id. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Waiting for verification... N > x = o n = c=] = = oS >

Page Load Overview

1.41s
Total Load Time
862 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:82 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network48% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
48%
healthcare medical
48%
news media journalism
39%
technology software
39%
documentation technical
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.150.16.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4216.150.16.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4216.150.1.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
133--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B962EFF68E00E61BFF9C8B541D3D9C5C6AC6B5DED6C6881D4D709F83868223D67818D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:9BuvhBixRc3hu0m/j34unVhWIoN78hxzfRCcgnJ:9Bu5kxRcxuP/j3rWHN4LzfRCcgnJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14873:yKaQhMNoFgiExDaAoEEwyU0gID2oCYAFAMhI94OkOASoQOEcFRDa5EAA4SMi4EBg0gCXBiSFiJDNAAiDWSgYAZltBmGDMJKT

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:ffffffe7e7e7ffff
Perceptual Hash:a6cc993333cccc99
Difference Hash:0008224d4d4d320c
Wavelet Hash:f0f8f8e0e0e0f8f0
Color Hash:07007000000

Other Hashes

Crop Resistant:0008224d4d4d320c

Scan History

Scan history not available

Unable to load historical scan data