Security Scan Report: gitlab.ssdlc.seven.sa

Redirected to:
https://gitlab.ssdlc.seven.sa/users/sign_in
Site favicon
Submitted: May 18, 2026, 9:11:20 AMCompleted: May 18, 2026, 9:12:55 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is gitlab.ssdlc.seven.sa.

Submitted URL: https://gitlab.ssdlc.seven.sa

Effective URL: https://gitlab.ssdlc.seven.sa/users/sign_inRedirected

The Cisco Umbrella rank of the primary domain is #720,062 of the top 1 million websites

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

Site impersonates GitLab, collects credentials, and shows a critical C2 alert – confirmed scam.

Risk Factors
Brand mismatch with official GitLab branding
Credential collection form on unknown/new domain
Critical malware C2 alert from IDS
Low reputation ranking for a brand‑impersonating site
Domain age unknown (potentially newly registered)
Domain age information unavailable

Details

Page Title

502

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

forum community discussion

(96%)

Domain Information

The domain 'gitlab.ssdlc.seven.sa' uses the Saudi country-code top-level domain (.sa) and includes subdomain 'gitlab.ssdlc'. The second-level label 'seven' is 5 characters long holding 2 vowels versus 3 consonants. Segmentation suggests 1 word: seven. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gitlab.ssdlc.seven.sa

Page Load Overview

27.96s
Total Load Time
36
HTTP Requests
1
Domains
325 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:530 chars
Detector Agreement:50%

Website Classification

Primary Category

forum community discussion96% confidence
Type: webapp
Method: ml+structural

All Detected Categories

forum community discussion
96%
technology software
58%

Detected Features

Login Form
OG: object

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3634.1.55.49Dammam, Eastern Province, Saudi Arabia
AS15169Google LLC
361--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11EC080F6D0B1641DD5A1B7794CC1705409CDBA9933820D003DC475AC1D94769D5577C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:PouVIZxVsJYkAI0EFwsAAbHblu+FYBzO9eIJAsXZKRCXbZ6rVVEznmS11Bcz:haxVgYkC/fAbplgIgkX96rVepcz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:5482a609e922c10b523f6fff2d45e73d

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:7fffffffffffffff
Perceptual Hash:8707070f0f0f1f1f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#9487c5

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data