| Attack Type | Brief Description | How It Was Planned (Recon & Prep) | How It Was Triggered (Execution) |
| 1. Multimodal AI Deepfake Video Scams (BEC 3.0) | Attackers use real-time deepfake video and audio to impersonate an entire executive team or a CFO during a live virtual meeting. | Threat actors scrape publicly available video interviews, earnings calls, and social media clips to train generative AI and voice-cloning tools on the executives’ exact likeness and cadence. | A targeted employee (usually in finance) receives an urgent meeting invite. Upon joining the video call, they interact with the deepfaked executives in real-time who instruct them to authorize a massive, “confidential” wire transfer. |
| 2. AI Voice Cloning (Vishing) | Highly targeted phone calls where the attacker’s voice is AI-cloned to sound exactly like a trusted authority figure, such as a CEO, manager, or family member. | Attackers harvest high-quality audio snippets (as little as 3 seconds is needed today) from podcasts, YouTube, or social media to create a synthetic voice model of the target. | The attacker dials the victim directly. Using the cloned voice in real-time, they bypass the victim’s natural skepticism and demand immediate action, such as handing over MFA codes, resetting a password, or transferring funds. |
| 3. LLM-Crafted Spear Phishing | Hyper-personalized phishing emails written by malicious Large Language Models (like FraudGPT) that are completely free of the grammatical errors that traditionally give away scams. | The AI automatically scrapes the victim’s LinkedIn, recent company press releases, and social media to draft a contextually flawless email tailored specifically to the target’s current projects or job role. | The victim receives an email that perfectly matches the tone of a colleague or vendor. Because it easily bypasses traditional email security filters and looks legitimate, the victim clicks a malicious link or opens a compromised attachment (like an SVG file). |
| 4. Quishing (QR Code Phishing) | Attackers embed malicious QR codes in emails, PDFs, or even physical spaces to bypass enterprise email security and force the victim to use their personal mobile device. | Scammers set up spoofed login portals (e.g., a fake Microsoft 365 or HR portal) and generate a QR code that directs to the credential-harvesting server. | An email arrives claiming a mandatory MFA update or HR policy review, containing only a QR code. The victim scans it with their phone—moving outside the corporate firewall—and unknowingly enters their credentials into the fake portal. |
| 5. Fake Cloud Portal Phishing (AitM) | “Adversary-in-the-Middle” attacks where attackers intercept the communication between the user and a legitimate cloud service to steal session cookies and bypass MFA. | Attackers register typo-squatted domains (e.g., rnicrosoft.com) and set up proxy servers that perfectly mirror the real login pages of major cloud providers. | The user clicks a link from an urgent email alerting them to “unusual login activity.” They log into the fake portal, but the proxy intercepts their credentials and session cookies in real-time, instantly granting the attacker access to the real account without needing an MFA prompt. |
| 1. Software Supply Chain & Third-Party Compromises | Attackers breach a widely used third-party vendor, IT service provider, or open-source repository to gain backdoor access to thousands of downstream clients simultaneously. | Threat actors identify weaknesses in a vendor’s codebase, exploit an unpatched vulnerability, or steal developer secrets/OAuth tokens from platforms like GitHub. | Attackers inject malicious code into a legitimate software update or integration. When downstream businesses update their software, the malware is automatically installed behind their firewalls, granting attackers instant lateral access. |
| 2. Multi-Stage Extortion Ransomware | Evolved ransomware that doesn’t just encrypt files, but steals them first, threatening to leak sensitive data, contact customers/patients directly, or DDoS the victim if the ransom isn’t paid. | Attackers often buy initial access from “Initial Access Brokers” (IABs) on the dark web. They then spend weeks silently mapping the victim’s network and destroying or encrypting backups. | The ransomware payload is deployed network-wide, often over a weekend or holiday. Simultaneously, an automated extortion sequence begins, leaking sample data to public shame sites and emailing executives directly. |
| 3. Zero-Day Exploits on Public-Facing Apps | Attackers exploit previously unknown vulnerabilities (Zero-Days) in public-facing applications (like VPNs, firewalls, or cloud platforms) before the vendor can release a security patch. | Threat groups dedicate massive R&D budgets (often state-sponsored) to reverse-engineer enterprise software and find undocumented flaws that allow for remote code execution (RCE) without requiring login credentials. | An automated script is fired at the public IP address of the vulnerable application. The exploit instantly bypasses authentication, giving the attacker root or administrative shell access to the server to drop malware. |
| 4. Operational Technology (OT) & IoT Sabotage | Cyber-physical attacks targeting manufacturing floors, power grids, or hospital systems by compromising the connected industrial control systems (ICS). | Attackers scan the internet for exposed, legacy industrial devices that were never meant to be connected to the outside world and lack modern security protocols like MFA. | Using specialized malware, the attackers alter the physical parameters of the machinery—such as changing temperature controls, shutting down automated assembly lines, or disabling safety sensors. |
| 5. AI-Automated Distributed Denial of Service (DDoS) | Massive botnet attacks that flood a target’s servers, network, or APIs with overwhelming garbage traffic, forcing critical services offline. | Cybercriminals use automated AI agents to rapidly infect vulnerable connected devices worldwide, grouping them into massive, coordinated botnets. | The attacker commands the botnet to simultaneously overwhelm the victim’s servers. AI algorithms dynamically shift the attack vectors in real-time to bypass traditional rate-limiting and DDoS mitigation tools, causing extended business downtime. |
The cybersecurity landscape has fundamentally shifted. Threat actors are no longer relying on generic, spray-and-pray emails filled with typos.
By weaponizing Generative AI, they are automating the reconnaissance phase and launching socially engineered attacks that exploit human trust at an unprecedented scale.The traditional perimeter is dead; identity and trusted vendor access are the new battlegrounds. We are seeing a massive shift from “smash and grab” data theft to attacks designed to cause maximum operational downtime.
Shift toward Cyber Resilience: assuming a breach will happen and designing architectures (like micro-segmentation and Zero Trust) that ensure core business operations can survive when a system goes down.
