ScanMalware.com

Security Scan Report: my-docs-jet.firebaseapp.com

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/94a5b2a2-8b34-41e5-8579-1796ca2438b6Domain and IP registration (RDAP)/api/v1/rdap/94a5b2a2-8b34-41e5-8579-1796ca2438b6How often this domain was scanned/api/v1/domain/stats/my-docs-jet.firebaseapp.comScan history for this domain/api/v1/domain/history/my-docs-jet.firebaseapp.com?limit=15
This website contacted 6 IPs in 1 country across 3 domains to perform 10 HTTP transactions. The main domain is my-docs-jet.firebaseapp.com.

Submitted URL: https://my-docs-jet.firebaseapp.com/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Fake document-sharing page on a Firebase subdomain that asks for email credentials to 'open a PDF' and ships them to a Telegram bot. Confirmed credential phishing — never enter a password here.

Risk Factors (5)
Credential-harvesting form (email + password) disguised as a document-unlock prompt
Telegram-bot exfiltration channel embedded in the page script
Phishing threat-intel report on the primary domain
Deceptive pretext: claims the file was sent to 'the mailbox these credentials belong to', a classic webmail-phishing lure
Anonymous hosting-platform subdomain with no verifiable owner or service identity
Domain age information unavailable

Details

Page Title

Accueil

Scan Type

public

Domain Name Analysis

You're looking at domain 'my-docs-jet.firebaseapp.com' on the commercial generic top-level domain (.com) with subdomain 'my-docs-jet'. The registrable portion 'firebaseapp' spans 11 characters split between five vowels and 6 consonants. Segmentation suggests 3 words: fire, base, app. Expect four characters per word on average. 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

0.80s
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.
418.64.211.121Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2104.16.179.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
118.64.211.122Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1151.101.193.229Fastly · CDNUnited States
AS54113Fastly, Inc.
118.64.211.99Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
106--

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:070020001c0

Other Hashes

Crop Resistant:00080c1816960006,4501213131310145

Scan History

Scan history not available

Unable to load historical scan data