Cyber Helmets partners with Vishr.ai to train against AI-powered vishing threats.

Cyber Helmets is proud to announce a strategic collaboration with Vishr.ai, the leader in AI-driven vishing simulation and training.

 

This collaboration will integrate the Vishr.ai platform into Cyber Helmets‘ curriculum, equipping professionals with the advanced skills needed to defend against sophisticated voice phishing (vishing) attacks.

 

The growing threat

Most security training focuses on email phishing. Yet, attackers are increasingly picking up the phone. Voice phishing, or “vishing,” is surging as a primary attack vector and is now one of the fastest-growing social engineering threats.

 

Recent reports from Crowdstrike show vishing attacks have increased by 442% between the first and second half of 2024, exploiting the human element that technical safeguards can’t cover. These attacks are effective, hard to trace, and can cause significant damage.

 

This partnership addresses that urgent gap. Cyber Helmets will integrate Vishr.ai’s AI-driven platform to enhance its cybersecurity training programs.

 

The training experience: What learners can expect.

This integration brings a new level of realism and personalization to Cyber Helmets’ training and curriculum with immersive, AI-driven simulations. Participants won’t just learn about vishing; they’ll experience it in action.

 

  • Realistic vishing simulations using AI-generated voices and real-world scenarios
  • Adaptive learning paths that respond to user performance and progress
  • Personalized coaching with actionable feedback after each simulation
  • Real-time analytics to track strengths, vulnerabilities, and improvement over time

 

The result is a hands-on, deeply immersive and impactful experience that enables them to close skill gaps more effectively and build the confidence to tackle real-world cyber threats.

 

 

From our leadership

Aris Zikopoulos, Managing Director at Cyber Helmets said:

At Cyber Helmets, we continuously evolve our training to reflect the threat landscape our clients actually face. That means going beyond static modules and embracing cutting-edge platforms like Vishr.ai, a leader in AI-powered vishing simulation. Integrating their technology into our custom-built programs ensures that the professionals we train aren’t just aware of threats, they’re equipped to respond with confidence and clarity when it counts.”

 

Enrico Faccioli, CEO at Vishr.AI said:

“At Vishr.ai, we believe that the future of learning lies in personalization, adaptability, and direct experience. This partnership with Cyber Helmets puts that belief into practice. We provide the smart, adaptive technology that lets people practice their skills in a realistic environment, and they provide the expert context that makes that practice meaningful. Our combined approach gives professionals the practical skills and confidence to confront active threats.”

 

This partnership marks a shared commitment to closing the human gap in cybersecurity. Together, we’re raising the bar for voice phishing defense and real-world readiness.

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Syllabus:

Intro to GCP

  • GCP Hierarchy
  • Google Workspace
  • gcloud config
  • Basic Hacking Techniques

Exploitation of GCP Services

  • IAM
  • KMS
  • Secrets 
  • Storage
  • Compute Instances & VPC
  • Cloud Functions
  • CloudSQL
  • Pub/Sub
  • App Engine
  • Google APIs
  • Cloud Shell

Methodologies

  • White box

Security Services

  • GCP Logging & Monitoring

Syllabus:

Intro to AWS

  • AWS Organization
  • AWS Principals
  • Basic Hacking Techniques

Exploitation of AWS Services

  • IAM
  • STS
  • KMS
  • Secrets Manager
  • S3
  • EC2 & VPC
  • Lambda
  • RDS
  • SQS
  • SNS

Methologies

  • White box

Common Detection Mechanisms

  • CloudTrail

Syllabus:

Azure Basics

  • Azure Organization
  • Entra ID
  • Azure Tokens & APIs
  • Basic Enumeration Tools

 

Exploitation of Azure Services

  • Entra ID IAM
  • Azure IAM
  • Azure Applications
  • Azure Key Vault
  • Azure Virtual Machine & Networking
  • Storage Accounts
  • Azure File Share
  • Azure Table Storage
  • Azure SQL Database
  • Azure MySQL & PostgreSQL
  • Azure CosmosDB
  • Azure App Service
  • Basic Azure Research Technique
  • Azure Function Apps
  • Static Web Apps
  • Azure Container Registry
  • Azure Container
  • Instances, Apps & Jobs
  • Azure Queue
  • Azure Service Bus
  • Azure Automation Account
  • Azure Logic Apps
  • Azure Cloud Shell
  • Azure Virtual Desktop

 

Methologies

  • White box
  • Black box
  • Pivoting between Entra ID & AD

 

Common Detection Mechanisms

  • Azure & Entra ID Logging & Monitoring
  • Microsoft Sentinel
  • Microsoft Defender for Cloud & Microsoft Defender EASM

Fundamentals and Setup

  1. Overview of Android’s architecture and ecosystem dynamics.
  2. Exploration of security features native to Android using Java, Kotlin, C++, and Rust.
  3. Mobile Application Threat Model
    a) Differences between mobile and web application threat models.
    b) Applying threat modeling techniques specifically to mobile applications.
    c) Case studies highlighting potential threats and vulnerabilities.
    d) How do we secure and test cross platform apps (e.g. ReactNative, Xamarin, etc).
  4. Introduction to industry mobile security standards
    a) OWASP Mobile Application Security (MAS) project
    b) Effective usage of the Mobile Application Security Verification Standard (MASVS).
    c) Effective usage of the Mobile Security Testing Guide (MSTG).
    d) Overview of the OWASP top 10 for mobile.
  5. Setting up and preparing a mobile security testing lab
    a) Configuration of industry-standard tools and guidance on their appropriate use.
    b) Setup of virtual mobile devices using Corellium, including its advantages.
    c) Introductory exercises to familiarize with the tools.
  6. Secure Coding Overview
    a) Exercises to identify vulnerabilities in code examples
    b) Discussion of the appropriate mechanisms for remediation
    c) Practical session on remediation and re-testing the app
  7. Secure storage
    a) Overview of application storage mechanisms.
    b) Introduction to cryptographic storage solutions on Android.

Advanced Techniques and Practical Application

  • Mobile penetration testing methodology
    a) Methodologies used in real-world scenarios with practical tips and tricks.
  • Identifying issues with backend APIs
    a) Examination of client-side trust issues.
    b) Analysis of insecure communications including certificate validation and pinning.
  • Cryptography in Android apps
    a) Utilization of Android’s Crypto APIs.
    b) Implementation of native cryptography using libraries like libnacl and OpenSSL.
    c) Management of cryptographic keys.
  • Authentication and Authorization
    a) Testing client-side authentication mechanisms, including secure usage of biometrics.
    b) Strategies to detect and bypass authentication flaws.
    c) Security measures for API authentication.
  • Android IPC
    a) Detailed exploration of Intents, deep links, Binders/services, and broadcast receivers.
  • Webviews
    a) Identifying and resolving common security issues in Android Webview configurations.
  • Software Composition Analysis (SBOM)
    a) Techniques to determine the components of an Android app.
    b) Identifying known vulnerabilities within these components.
  • Mobile Device Management (MDM)
    a) Introduction to Mobile Device Management: definition, core features, and its role in enhancing organizational security.
    b) Discussion on the benefits and practical applications of MDM in controlling and securing mobile devices across an enterprise.
  • Mobile Application Management (MAM)
    a) Overview of Mobile Application Management: what it entails and its significance in enterprise environments.
    b) Exploration of how MAM contributes to managing and securing applications specifically, detailing its utility for enterprise security strategies.

Advanced Techniques and Practical Application

  • Mobile penetration testing methodology
    a) Methodologies used in real-world scenarios with practical tips and tricks.
  • Identifying issues with backend APIs
    a) Examination of client-side trust issues.
    b) Analysis of insecure communications including App Transport Security issues & certificate pinning.
  • Cryptography in IOS apps
    a) Utilization of iOS’s CryptoKit & CommonCrypto APIs.
    b) Implementation of native cryptography using libraries like libnacl and OpenSSL.
    c) Management of cryptographic keys and leveraging the secure enclave.
  • Authentication and Authorization
    a) Testing client-side authentication mechanisms, including secure usage of Local Authentication (biometrics).
    b) Strategies to detect and bypass authentication flaws.
    c) Security measures for API authentication.
    d) Using Device Check and App Attest
  • iOS IPC
    a) Detailed exploration of URL schemes, deep (universal) links, and extensions.
  • Webviews
    a) Identifying and resolving common security issues in iOS Webview configurations.
  • Software Composition Analysis (SBOM)
    a) Techniques to determine the components of an iOS app.
    b) Identifying known vulnerabilities within these components.
  • Implementing App Integrity
    a) What to look for
    b) How to implement
  • Mobile Device Management (MDM)
    a) Introduction to Mobile Device Management: definition, core features, and its role in enhancing organizational security.
    b) Discussion on the benefits and practical applications of MDM in controlling and securing mobile devices across an enterprise.
  • Mobile Application Management (MAM)
    a) Overview of Mobile Application Management: what it entails and its significance in enterprise environments.
    b) Exploration of how MAM contributes to managing and securing applications specifically, detailing its utility for enterprise security strategies.

Fundamentals & Setup

  1. Overview of iOS’s architecture and ecosystem dynamics.
  2. Exploration of security features native to to iOS using Objective-C, Swift, and C(++).
  3. Mobile Application Threat Model
    a) Differences between mobile and web application threat models.
    b) Applying threat modeling techniques specifically to mobile applications.
    c) Case studies highlighting potential threats and vulnerabilities.
    d) How do we secure and test cross platform apps (e.g. ReactNative, Xamarin, etc).
  4. Introduction to industry mobile security standards
    a) OWASP Mobile Application Security (MAS) project
    b) Effective usage of the Mobile Application Security Verification Standard (MASVS).
    c) Effective usage of the Mobile Security Testing Guide (MSTG).
    d) Overview of the OWASP top 10 for mobile.
  5. Setting up and preparing a mobile security testing lab
    a) Configuration of industry-standard tools and guidance on their appropriate use.
    b) Setup of virtual mobile devices using Corellium, including its advantages.
    c) Introductory exercises to familiarize with the tools.
  6. Secure Coding Overview
    a) Exercises to identify vulnerabilities in iOS code examples
    b) Discussion of the appropriate mechanisms for remediation
    c) Practical session on remediation and re-testing the app
  7. Secure storage
    a) Overview of application storage mechanisms.
    b) Introduction to cryptographic storage solutions on iOS.