Security Scan Report: git.dac.nokia.com

Redirected to:
https://git.dac.nokia.com/users/sign_in
Site favicon
Submitted: Feb 2, 2026, 1:21:24 PMCompleted: Feb 2, 2026, 1:22:33 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is git.dac.nokia.com and was registered NaN years ago.

Submitted URL: https://git.dac.nokia.com

Effective URL: https://git.dac.nokia.com/users/sign_inRedirected

The Cisco Umbrella rank of the primary domain is #74,625 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate corporate GitLab login page with no security concerns.

Safety Factors
Well‑established domain
High Cisco Umbrella ranking
Consistent branding with GitLab service
No suspicious redirects or hidden fields
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Sign in · GitLab

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(81%)

Domain Information

Within the commercial generic top-level domain (.com), 'git.dac.nokia.com' is registered with subdomain 'git.dac'. The core label 'nokia' covers 5 characters holding three vowels versus 2 consonants. Breaking it apart gives one word: nokia. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://git.dac.nokia.com

Page Load Overview

2.11s
Total Load Time
35
HTTP Requests
1
Domains
339 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:386 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software81% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
81%
forum community discussion
79%
documentation technical
29%

Detected Features

Login Form
OG: object

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3587.108.35.9Helsinki, Uusimaa, Finland
AS15830Equinix (EMEA) Acquisition Enterprises B.V.
351--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17F820842E044483F02BB28E474C3A7052692DB0ADB91C5E5D7F9CB5D2BE9F81981BD3E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:CNcRxJs37gakILXeOGzUea1xN/XI/0495MWMFR8nJuS/MLfieg/edyeJseAOerU9:3C3UakILXeOGzUea1xN/XQ5EFtOeOegc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19107:S6TAvACfGFEdcAKD0AAUgIPkgBESlQADAmNRPEf8wCnExCA4CeZnOABAGUQYAQciBUWQgAEiQodIwelBOhOgcmgEhqgBCACU

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:ffe7efe7e7ffffdf
Perceptual Hash:b36799cc26649999
Difference Hash:080c144d0c000012
Wavelet Hash:24242000e3ffff00
Color Hash:#539aac

Other Hashes

Crop Resistant:080c144d0c000012

Scan History

Scan history not available

Unable to load historical scan data