Security Scan Report: raciklaba.id

Page Did Not Load

This site did not respond consistently during our scan — it may be intermittently unreachable, or refusing automated visitors. The screenshot and page details below show the page as it was captured.

Submitted: Aug 15, 2026, 12:51:43 PMCompleted: Aug 15, 2026, 12:55:47 PMpubliccompleted

AI Security Verdict

Not Assessed

This site blocked our scanner, so the page was never loaded and no AI security assessment could be performed. This is not a statement that the site is safe.

Anti-bot protection prevented the scan. Sites that block automated scanning cannot be assessed from their content — treat this result as "unknown", not "clean".

Details

Page Title

Sign in - Google Accountssecondary capture

Scan Type

public

Domain Name Analysis

Domain 'raciklaba.id' uses the Indonesian country-code top-level domain (.id). Count 9 characters in 'raciklaba' with 4 vowels and five consonants. Splitting it apart reveals four words: ra, cik, lab, a. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://raciklaba.id/api/v1/public/auth/google/start

Page Load Overview

6.42s
Total Load Time
1 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.67.175.123Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.127.84Google · CDNUnited States
AS15169Google LLC
0142.251.13.94Google · CDNUnited States
AS15169Google LLC
0142.251.20.132Google · CDNUnited States
AS15169Google LLC
0192.178.183.94Google · CDNUnited States
AS15169Google LLC
25--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B64594CF9230A03FF973A4F6E990ED4EF2884DD1E64A4576BC71A91342EE5A61761330

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:YCnq3j6/8+Oq3j6/8+Iq3j6/8+tq3j6/8+eq3j6/8+BI3tQISNt1/DoUoqo6/8+3:YCWI3SoUrjTbWJXmzkSjCuyg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1256754:N3DEAYLQKAV6FDjJScEEtgOkHLGFARAKCYACoYDIRKegQWBAIW4GBKRYBBZkMCE4IkCmCgQCjg7wiBMAIREKtCRwAjvCCEwB

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:00003c3e38380000
Perceptual Hash:ce9631698c96cbc3
Difference Hash:0020602463630400
Wavelet Hash:00007f7f7a7a0c0c
Color Hash:#6ce073

Other Hashes

Crop Resistant:0020602463630400

Scan History

Scan history not available

Unable to load historical scan data