ScanMalware.com

Security Scan Report: my-docs-jet.web.app

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/59b57031-fedf-4d86-9b81-fe5b5a4ee101Domain and IP registration (RDAP)/api/v1/rdap/59b57031-fedf-4d86-9b81-fe5b5a4ee101How often this domain was scanned/api/v1/domain/stats/my-docs-jet.web.appScan history for this domain/api/v1/domain/history/my-docs-jet.web.app?limit=15
This website contacted 7 IPs in 1 country across 3 domains to perform 10 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://my-docs-jet.web.app/

AI Security Verdict

Confirmed Scam

Confidence: 94%

10
Risk Score

Fake 'you received a document' page that asks for your email password to open a PDF; verified credential form plus a Telegram bot token in the page script mark it as a credential-phishing kit. Never enter your password.

Risk Factors (5)
Credential-harvesting form collecting email address and password behind a fake 'read your document' pretext
Telegram bot token embedded in page script — direct exfiltration path for submitted credentials
Phishing threat-intel report on the primary domain
Deceptive social-engineering copy in French implying a PDF was sent to the victim's mailbox
Free hosting-platform subdomain with no reputation and unknown creation date
Domain age information unavailable

Details

Page Title

Accueil

Scan Type

public

Domain Name Analysis

You're looking at domain 'my-docs-jet.web.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'my-docs-jet'. Its registrable label 'web' stretches across 3 characters containing one vowel alongside 2 consonants. Segmentation suggests one word: web. No strong language cues emerged from the frequency lists.

Screenshot

Vous avez regu un document PDF+ = Por Pour lire le document veuillez entrer les identifiants de messagerie auxquels ce fichier a été envoyé. Adresse e-mal Mot de passe Vous acceptez nos Condition...

Page Load Overview

0.43s
Total Load Time
198 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:fr
Text Length:344 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service36% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
36%
cryptocurrency blockchain
35%
technology software
34%
news media journalism
34%
documentation technical
34%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
118.64.211.122Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1151.101.1.229Fastly · CDNUnited States
AS54113Fastly, Inc.
118.64.211.79Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
118.64.211.121Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
118.64.211.99Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1151.101.193.229Fastly · CDNUnited States
AS54113Fastly, Inc.
107--

Detected Technologies6

PasswordField
100%
Bootstrapv5.3.3
50%
HTTP/3
40%
HSTS
40%
Firebase
40%
jsDelivr
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D802B7969AF71149B913D0683FF62B1566A1C057C34DC8547FCE33988F8A1CAA8A33DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:sL8LxLvLL40udEvGTPtlQmtVsSYbC4Jdquudng6lEMJJNdp:sgtL/40iYg/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8213:AEA4EmAAyJwNINEAHAQI6BoX5QIAEoJAIgAsAAhMy+IaIiBCmQIE0wZHgRAEf9sCgOJV40TNGQSGaDDAAZA5E1CiQTgJEFAV

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:ffffffffc3c3ffff
Perceptual Hash:b09acf649a9a61ce
Difference Hash:00080c1816960006
Wavelet Hash:185b6743c3c35b5a
Color Hash:N/A

Other Hashes

Crop Resistant:00080c1816960006,4501213131310145

Scan History

Scan history not available

Unable to load historical scan data