Security Scan Report: activatcaredd.web.app

Redirected to:
https://www.google.com/search?q=covid&sei=aE34avCYJpa-hbIPsfCriAo
Site favicon
Submitted: Completed: publiccompleted
This website contacted 20 IPs in 2 countries across 10 domains to perform 26 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://activatcaredd.web.app/

Effective URL:
https://www.google.com/search?q=covid&sei=aE34avCYJpa-hbIPsfCriAo
Redirected

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Anonymous .web.app page that hides an obfuscated inline script with a Telegram bot token, then bounces visitors to a genuine Google results page as cover. No credential form yet, but the exfiltration channel and cloaking make it unsafe.

Risk Factors (5)
Inline script embeds a Telegram bot token (messaging-bot exfiltration capability)
Obfuscated JavaScript with eval() and encoding/decoding helpers
Redirect from a throwaway web.app subdomain to Google search results — content cloaking
No legitimate content, branding or purpose of its own on the entry domain
Network IDS alerts for Telegram API/domain traffic during the page load
Domain age information unavailable

Details

Page Title

covid - Google Suche

Scan Type

public

Domain Name Analysis

The domain name 'activatcaredd.web.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'activatcaredd'. The second-level label 'web' is 3 characters long split between 1 vowel and two consonants. Segmentation suggests 1 word: web. No strong language cues emerged from the frequency lists.

Screenshot

Google covid Kl-Modus Alle Bilder News Vid © Infektionsschutz.de nilpsywenzinfeltionsschutz.de > themen >4 Coronavirus Das Coronavirus SARS-CoV-2 zahit zu der sehr ansteckend und kann unterschied...

Page Load Overview

0.21s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:6,549 chars
Detector Agreement:100%

All Detected Languages

🇩🇪de(96%)🇺🇸en(3%)🇪🇸es(1%)

Website Classification

Primary Category

technology software42% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.151.120Google · CDNUnited States
AS15169Google LLC
2199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
2142.251.110.97Google · CDNUnited States
AS15169Google LLC
1149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
1142.251.151.119Google · CDNUnited States
AS15169Google LLC
1142.251.13.94Google · CDNUnited States
AS15169Google LLC
1142.251.14.157Google · CDNUnited States
AS15169Google LLC
1142.251.20.141Google · CDNUnited States
AS15169Google LLC
1142.251.157.120Google · CDNUnited States
AS15169Google LLC
1142.251.127.95Google · CDNUnited States
AS15169Google LLC
2620--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112B46B717200AC3F99234AE4A17D6F4E3C2AF367C92B0574EAF8D6364BE5D78281255C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:QUoO4BmrEOttuUrbJlfoNHYOJZDu/rkuIbvTOXp86Lu:QZO4BmrEz0lfoqOJZKDNIv6p86a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:519298:JxFeEiI8QwLaiQCQ5ECBESgDuTKgcGByC3pBvLh1SxRACEiAYHukeABQQMIJECWEUiMAASAlIE7C2BBEXKJENQMBIMklQgNg

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:3c3c3c3c3c3c3c3c
Perceptual Hash:8bd9256074777037
Difference Hash:6969696969696969
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:07000000180

Scan History

Scan history not available

Unable to load historical scan data