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Quishing 2.0: The Industrialized Liquidation of Email Security via HTML Table Rendering

CB

Forensic Engineering by CyberDudeBivash

Principal Investigator · CyberDudeBivash Pvt. Ltd. · 2026

1. The Death of the Static QR: Unmasking Quishing 2.0

In the early 2020s, QR code phishing—or “Quishing”—was a primitive siphon. Attackers simply attached a JPEG or PNG file to an email, hoping a user would scan it. By 2024, Secure Email Gateways (SEGs) had unmasked this tactic, implementing basic OCR (Optical Character Recognition) to follow the embedded links and sequestrate malicious domains.

However, in 2026, we have entered the era of Quishing 2.0. This is not just a phishing attempt; it is a surgical exploitation of how modern email clients render HTML code. The goal is Total Liquidation of the Inspection Layer. Attackers have unmasked a fundamental flaw in how automated scanners perceive data versus how humans perceive images.

Quishing 2.0 operates on the principle of Distributed Rendering. Instead of sending an image file that can be hashed and blocked, the attacker sends a recipe for an image. This recipe is written in standard HTML and CSS, languages that must be allowed through the firewall for emails to function. By siphoning the visual construction of the QR code into the Document Object Model (DOM), the attacker ensures that the “malicious” part of the email doesn’t actually exist until the moment the recipient opens it.

2. The Table Exploit: Blinding the OCR Engine

The core technical primitive of Quishing 2.0 is the Spatially Managed HTML Table. To a human eye, a QR code is a grid of black and white modules. To a computer, a QR code is a specific arrangement of binary data. Attackers bridge this gap by using the <table> tag to reconstruct the QR grid cell by cell.

In a typical Quishing 2.0 payload, the email contains a table with 21×21 or 25×25 rows and columns. Each <td> (table data) element is given a background color attribute. This is the Color-Based Siphon.

<!– A segment of a malicious QR reconstruction –>
<tr>
  <td bgcolor=”#000000″ width=”5″ height=”5″></td> <!– Module 1: Black –>
  <td bgcolor=”#FFFFFF” width=”5″ height=”5″></td> <!– Module 2: White –>
  <td bgcolor=”#000000″ width=”5″ height=”5″></td> <!– Module 3: Black –>
</tr>

Why does this liquidate security? Because most OCR engines are looking for files. When a scanner looks at an email, it sees text. It sees a table. It does not see a “QR Code” because there is no <img> tag to analyze. The OCR engine would need to render the HTML, take a screenshot of that rendering, and then perform analysis. In a 30-hits-per-second environment, most institutional scanners do not have the CPU cycles to perform this level of deep-render sequestration for every incoming email.

3. The Unicode Siphon: High-Entropy Obfuscation

If a table is too bulky, Quishing 2.0 pivots to Unicode Block Construction. This is a more elegant form of liquidation. Using the █ (U+2588) character, attackers “draw” the QR code within a standard paragraph tag.

To further unmask the vulnerability of security filters, attackers use CSS Z-Indexing and Opacity. They may overlay the malicious Unicode blocks with transparent “filler” text. When the scanner siphons the text content of the email, it sees a paragraph about “Invoice Verification.” However, when the user’s mobile camera looks at the screen, it ignores the transparent text and focuses on the high-contrast Unicode blocks, unmasking the malicious URL.

This represents a Total Cognitive Mismatch. The security system is reading the “hidden” layer, while the victim is interacting with the “visual” layer. In 2026, CyberDudeBivash forensics has unmasked over 4,000 variants of this “Ghost-Pixel” technique.

4. The Final Liquidation: Redirect Chains & AiTM

Scanning the QR code is only the beginning of the siphon. Quishing 2.0 is almost always paired with Adversary-in-the-Middle (AiTM) proxy servers. When the victim scans the table-based QR, their mobile browser is siphoned to a page that looks identical to a Microsoft 365 or Google Workspace login.

This is where Total Identity Liquidation occurs. The proxy server siphons the username and password in real-time and passes them to the actual login portal. When the actual portal sends an MFA (Multi-Factor Authentication) request, the victim enters it into the fake site. The attacker siphons that token and injects it into the real session, sequestrating the account before the victim even finishes loading their inbox.

SECURE YOUR DOMAIN AGAINST QUISHING 2.0

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5. The Forensic Blockade: Hardening the Perimeter

To survive Quishing 2.0, you must liquidate your reliance on traditional SEGs. CyberDudeBivash mandates the following Sovereign Hardening Steps:

• Deploy Computer Vision (CV) Scanning: Ensure your email gateway is performing real-time rendering of the DOM to unmask table-based patterns before they reach the inbox.
• Mandate FIDO2 Hardware Keys: Standard MFA is dead. Liquidate AiTM risk by requiring physical security keys (e.g., YubiKey) which cannot be siphoned by proxy servers.
• NFC/QR Browser Sequestration: Implement mobile policies that block the opening of URLs from the system camera if they do not originate from a managed browser with ZTNA controls.

OWN THE SIPHON. OWN THE FUTURE.

This  mandate has unmasked the technical soul of Quishing 2.0. At CyberDudeBivash Pvt. Ltd., we provide the forensic primitives to ensure your institution remains unliquidated in the age of total digital war.

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CHAPTER 6: Reverse Engineering the AiTM Proxy Siphon

The scan of a Quishing 2.0 HTML table is merely the ignition sequence. The true liquidation occurs within the AiTM Proxy Infrastructure. Unlike legacy phishing, which hosts a static “look-alike” page, 2026 AiTM engines act as a real-time bridge between the victim and the legitimate service (e.g., Microsoft 365).

6.1 The Proxy Handshake Primitive

The attacker unmasks the victim’s session by siphoning the initial GET request from the mobile device. The proxy server (running frameworks like Evilginx3 or Muraena) then performs a request to the legitimate login portal.

6.2 Session Cookie Sequestration

The goal is not just the password, but the Authenticated Session Cookie. In 2026, LockBit and other syndicates have unmasked that siphoning the cookie allows them to bypass even “Number Matching” MFA. Once the victim completes the handshake via the QR-redirect, the proxy sequestrates the sid, SSID, and AuthToken strings.

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CHAPTER 7: The CSS Z-Index Liquidation Strategy

Attackers are now using Layered DOM Manipulation to hide the QR table from headless browsers (the automated “eyes” of your security stack).

7.1 Visual Mismatch Primitives

By using z-index: -1 on the table and overlaying it with high-transparency <div> blocks containing benign text, the attacker creates a “Forensic Mirage.”

• To the Scanner: The email is siphoned as a text-heavy update about “Company Policy Updates.”
• To the Human Eye: The white space becomes a scannable high-contrast QR code due to how mobile cameras interpret light levels on LCD screens.

7.2 The “Honeypot” Link Siphon

Quishing 2.0 often includes a legitimate, “clean” link (e.g., to the real Microsoft.com) at the top of the email. Automated scanners follow this clean link, mark the email as “Safe,” and stop analysis, effectively siphoning the scan away from the malicious HTML table hidden in the footer.

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CHAPTER 8: Forensic Trace Recovery of Rendered Tables

When a Quishing 2.0 event is unmasked, traditional log analysis is insufficient because the malicious URL was never “sent”—it was “rendered.”

8.1 Volatile Memory Triage

We mandate the sequestration of Mobile Browser Cache. Because the QR code was an HTML table, the source code remains in the mobile browser’s history. By siphoning the render-tree artifacts, forensic investigators can reconstruct the table and unmask the final redirect C2.

8.2 Heuristic Pixel-Density Audits

In 2026, CyberDudeBivash analysts utilize Pixel-Density Audits. We scan for HTML tables that have a high concentration of 1x1 or 5x5 cells with alternating high-contrast colors. This unmasks the “Signature of a Rendered QR” before a single user can scan it.

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CHAPTER 9: Silicon-Anchored Defense Protocols

To liquidate the Quishing 2.0 threat, you must adopt the CyberDudeBivash Hardening Mandate.

1. Rendering-Aware SEGs: Your security stack must be capable of Snapshot Analysis—rendering every email in a headless browser and performing CV (Computer Vision) on the resulting image.
2. MFA Sequestration via FIDO2: We repeat: Standard Push/OTP is a liability. Only WebAuthn/FIDO2 liquidates the risk of session siphoning because it binds the authentication to the specific, legitimate domain.
3. SecretsGuard™ Behavioral Siphon: Deploy SecretsGuard™ to monitor for sudden administrative changes (e.g., new global admin creation) following a mobile-initiated M365 session.

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CHAPTER 10: Conclusion 

The transition to Quishing 2.0 unmasks the ultimate evolution of social engineering: The Exploitation of Visual Perception. By siphoning the attack logic into the HTML rendering engine, adversaries have liquidated the effectiveness of the trillion-dollar security image-analysis industry.

At CyberDudeBivash Pvt. Ltd., we provide the forensic blueprints to unmask these mirages. We do not just block links; we liquidate the primitives that make the links possible.

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