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Security Scan Report: app.verama.com

Redirected to: https://app.verama.com/en/auth?tab=login

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Submitted: Dec 6, 2025, 8:59:00 PMCompleted: Dec 6, 2025, 9:00:30 PMpubliccompleted
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Summary

This website contacted 64 IPs in 3 countries across 24 domains to perform 66 HTTP transactions. The main domain is app.verama.com and was registered NaN years ago.

Submitted URL: https://app.verama.com/

Effective URL: https://app.verama.com/en/auth?tab=loginRedirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing page harvesting credentials and spoofing Google/LinkedIn brands.

Risk Factors
Credential harvesting login form (email + password)
Brand impersonation of Google and LinkedIn
Unranked domain (not in Cisco Umbrella top 1M) despite major‑brand claims
Domain age information unavailable

Details

Page Title

Ework Verama login - Ework Verama

Scan Type

public

Language

🇺🇸

English

(27% confidence)

Category

social media network

(90%)

Domain Information

Within the commercial generic top-level domain (.com), 'app.verama.com' is registered; it also runs on subdomain 'app'. The second-level label 'verama' is 6 characters long holding three vowels versus 3 consonants. Tokenizing the label suggests two words: ve, rama. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.verama.com/

Page Load Overview

1.57s
Total Load Time
66
HTTP Requests
24
Domains
1.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:27%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:27%
Script Type:Latin
Text Length:439 chars
Detector Agreement:50%

Website Classification

Primary Category

social media network90% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
90%
technology software
54%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1952.222.136.57United States
AS16509AMAZON-02
5142.250.185.200United States
AS15169GOOGLE
4142.250.186.131United States
AS15169GOOGLE
4216.58.212.131United States
AS15169GOOGLE
3142.250.185.202United States
AS15169GOOGLE
3142.250.186.100United States
AS15169GOOGLE
3150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
265.9.175.27United States
AS16509AMAZON-02
2157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
6664--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F39294B72914982D13238AC5A033F60CE157F10DFE96D9E4E0EC8A752BD0EF19C475AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:CyHKN3CVvFxygDVEKCR7eT2hgK0UDBdFIV2L2MLw5vGQRUuC/zr1ukTG89Pb8pW1:vHYyXxygDqK67iK0UddFVw5GQmb/zr1z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20783:hUAFKAggAAZAoIgCUBobBAIEwKgBNAOiqA2SwHKoNBJq7gh0LRBOOI6kqIlgiRIjCCABEgCPJQsBGnBAQgMsgEAZQKA0vlxk

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:1818181818180000
Perceptual Hash:d9d9268c66279933
Difference Hash:b2b2b2b2b2b2320c
Wavelet Hash:ff989898989981de
Color Hash:#7987d2

Other Hashes

Crop Resistant:969ee0b233a2ba8c,b2b2b2b2b2b2320c

Scan History

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