Security Scan Report: permohonanjawatankosong.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 1 domain to perform 39 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://permohonanjawatankosong.vercel.app/gov.my

AI Security Verdict

High Risk

Confidence: 74%

7
Risk Score

Anonymous vercel.app page using a '/gov.my' path to pose as an official Malaysian government job portal and collect ID name, phone and Telegram details; no verifiable employer. Avoid submitting personal data.

Risk Factors (5)
Deceptive '/gov.my' path impersonating a Malaysian government domain
Personal-data harvesting form (IC name, phone, Telegram) on anonymous free hosting
Unverifiable 'official' job application claim with no employer or agency identified
Urgency/recruitment bait typical of Telegram-based job scams
Unranked, unknown-age subdomain on a platform abused by threat actors
Domain age information unavailable

Details

Page Title

Permohonan Jawatan Kosong

Scan Type

public

Domain Name Analysis

You're looking at domain 'permohonanjawatankosong.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'permohonanjawatankosong'. The core label 'vercel' covers 6 characters split between 2 vowels and 4 consonants. Splitting it apart reveals 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

PENGAMBILAN JAWATAN KOSONG Nama Penuh 2] Nama penuh seperti dalam kad pengenalan Nombor Telegram +60 * Nombor telefon mesti dimulakan dengan +60 Semak Sekarang Sila lengkapkan maklumat anda unt...

Page Load Overview

4.72s
Total Load Time
589 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:39%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:699 chars
Detector Agreement:75%
Language mismatch: Declared as en but detected as id

Website Classification

Primary Category

government public service64% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
64%
documentation technical
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1364.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
13216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1364.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
393--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T131B2C8797804ED0EE9A79C482079AD3650CEC177CB7AC96D92CCCA3517824B8EFE5D84

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2baXuhog5wnBGy23KzB8NermXWXOY9amYzarVXeNOnTChneVtvUScmYaBHdTSHRm:2baXuig5By23KzSNermXWXOY9amYz2Xr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23454:hiSWhYkQlixsMgyCJABQre0gOLADYBIAM+BFlIARABQgzBYEACAYERG018AgyIAh2lBwIFACIAzALBITYwdxyCQMBEsAwB5b

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:e7e7e7ffe7e7e7e7
Perceptual Hash:f37133339988cccc
Difference Hash:cc4c0c080c4c4d4d
Wavelet Hash:00e60606e6e6e6e6
Color Hash:07000030000

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data