Exposed: Google Drawings and WhatsApp Open Redirection Phishing Attack Breakdown

In the evolving landscape of Google Drawings and WhatsApp open redirection phishing attacks, cybercriminals are exploiting trusted platforms to bypass traditional security. This sophisticated threat, part of the broader Living Off Trusted Sites (LOTS) strategy, tricks users into entering sensitive data on fake Amazon pages. Discovered in 2024, it leverages Google Drawings for hosting deceptive graphics and WhatsApp’s URL shortener for seamless redirects, evading URL scanners and user suspicion.

Currently, evasive threats like these account for nearly 30% of all browser-based phishing incidents, according to Menlo Security’s threat intelligence. Attackers craft urgency around account verification, leading victims through multi-step forms that harvest credentials, personal details, and payment info. Understanding this open redirection phishing tactic is crucial as phishing volumes surged 61% in 2023, per the Anti-Phishing Working Group (APWG), with AI-powered evasion rising in 2025.

This guide dissects the attack mechanics, risks, defenses, and future trends, drawing from real-world analysis and cybersecurity expertise to help enterprises stay ahead.

How Does a Google Drawings and WhatsApp Open Redirection Phishing Attack Work?

This attack chain exemplifies open redirection phishing, where trusted domains mask malicious redirects. It starts with a phishing email mimicking Amazon alerts, directing users to a seemingly innocuous graphic.

Step-by-Step Breakdown of the Attack Flow

1. Initial Lure via Phishing Email: Victims receive an email urging “Amazon account verification” with a link to a Google Drawings-hosted image. Google Drawings, part of Workspace, allows embedded hyperlinks without triggering blocks.
2. Deceptive Graphic Click: The image features a “Continue Verification” button linking to l.wl.co, WhatsApp’s URL shortener. This service hides redirects without warnings, building false trust.
3. Double Obfuscation: The WhatsApp link appends a QR code shortener like qrco.de, further dodging scanners. Victims land on a fake Amazon login mimicking the real site.
4. Multi-Stage Data Harvest: After credentials, users face four “verification” pages—Security, Billing, Payments, Finish—collecting mother’s maiden name, birthdate, address, card details (number, expiry, CVV), all sent to attacker domains like appswebpymentmanagebillinfoaccscure.tech2go.pro.
5. Post-Exploitation: Page becomes inaccessible post-submission, erasing traces. Partial completions still yield valuable data.

Each step exploits human psychology: urgency and familiarity. In tests, 70% of users clicked similar lures within seconds, per Verizon’s 2024 DBIR.

What Makes Google Drawings and WhatsApp Open Redirection Attacks So Evasive and Dangerous?

Traditional tools fail here because they rely on blacklists, missing zero-hour threats. This attack thrives on Highly Evasive Adaptive Threats (HEAT), using trusted infrastructure for stealth.

Key Dangers and Statistics

• Zero-Hour Execution: Fresh domains evade signatures; 90% of phishing lasts under 24 hours (Google Transparency Report, 2024).
• Multi-Site Trust Abuse: Google (99% trust score), WhatsApp (2B+ users), and Amazon mimicry lower defenses.
• Data Granularity: Collects PII, financials; average breach costs $4.45M (IBM 2024).
• Scalability: Attackers automate via bots; phishing kits sold for $50 on dark web.

Pros of attacker perspective: Low cost, high yield. Cons: Relies on user error, detectable by behavioral analysis. Enterprises face 300% rise in LOTS attacks since 2022.

“Open redirects weaponize trust, turning allies into unwitting accomplices.” – Cybersecurity expert, Menlo Security 2024 report.

Related Phishing Threats: From EvilProxy to Browser-in-the-Browser Attacks

Google Drawings and WhatsApp tactics mirror broader trends in open redirection campaigns. Explore these clusters for comprehensive defense.

EvilProxy and Adversary-in-the-Middle (AiTM) Parallels

EvilProxy uses OAuth misconfigs for cookie theft, bypassing MFA. Like this attack, it leverages proxies for real-time interception. Success rate: 85% against legacy MFA (Proofpoint 2024).

Browser-in-the-Browser (BitB) Overlays

BitB injects fake login popups over legit sites. Combined with URL shorteners, it evades 95% of signature-based tools. Recent variants target Microsoft 365.

• Example: 2025 Magecart-style skimmers on e-commerce.
• Stat: BitB in 15% of attacks (Zscaler’s 2024 ThreatLabz).

Emerging LOTS Variants

Attackers now use Microsoft OneNote, GitHub for payloads. In 2026 projections, AI-generated phishing could hit 50% of incidents (Forrester).

Different approaches: Reverse proxies vs. shorteners—pros of shorteners include speed; cons, higher detection risk.

How to Detect and Prevent Google Drawings WhatsApp Phishing: Step-by-Step Guide

User training helps (reducing clicks by 40%, KnowBe4 stats), but it’s insufficient alone. Layer defenses for 99% efficacy.

Step-by-Step Prevention Strategies

1. Enable Browser Isolation: Run risky sites in cloud VMs; blocks 100% of browser threats (Menlo data).
2. Deploy AI-Driven Tools: Use computer vision for anomaly detection—spots fake layouts in milliseconds.
3. URL Inspection Habits: Hover links, check for shorteners; block l.wl.co enterprise-wide.
4. MFA Everywhere: Push notifications over SMS; cuts credential stuffing 99%.
5. Monitor with Forensics: Capture sessions for playback, revealing hidden redirects.

Pros and Cons of Common Defenses

Latest research (Gartner 2025) recommends zero-trust browser security for HEAT threats.

The Future of Evasive Phishing Detection: AI and Beyond

In 2026, expect quantum-resistant encryption and generative AI phishing kits. Current AI detectors like Menlo HEAT Shield use object detection, dynamic scoring—catching 30 daily similar threats.

Advanced Techniques Explained

Proprietary vision models analyze DOM elements, images for phishing hallmarks. Quantitative edge: 95% true positives vs. 70% for legacy AV (AV-TEST 2024).

• Perspectives: Optimists see AI ending phishing; skeptics warn of AI-vs-AI arms race.
• Trends: 40% rise in mobile phishing via WhatsApp (Lookout 2025).

Integrate Browsing Forensics for SOC playbacks, connecting user actions to threats in a knowledge graph.

Conclusion: Stay Vigilant Against Open Redirection Phishing

The Google Drawings and WhatsApp open redirection phishing attack highlights the need for proactive, AI-enhanced security. By understanding mechanics, risks, and layered defenses, organizations reduce breach risks by up to 80%.

Implement HEAT shields today—evasive threats won’t slow down. Regularly audit trusted site usage and train on red flags for long-term resilience.

Frequently Asked Questions (FAQ)

What is a Google Drawings and WhatsApp open redirection phishing attack?

A sophisticated phishing scam using Google Drawings for lures and WhatsApp shorteners for redirects to fake Amazon sites, harvesting credentials in stages.

How common are open redirection phishing attacks?

They represent 30% of browser phishing as of 2024, with LOTS variants growing 300% since 2022 (Menlo Security).

Can traditional antivirus stop this attack?

No—zero-hour nature evades signatures. AI behavioral analysis is required for 95%+ detection.

What personal info do these attacks target?

Credentials, birthdate, mother’s maiden name, billing address, full card details across four fake verification pages.

How can individuals avoid WhatsApp URL shortener phishing?

Hover links before clicking, avoid unsolicited verification prompts, use password managers for autofill on verified sites only.

What is Menlo HEAT Shield?

An AI tool using computer vision and real-time scoring to block evasive threats like this, with forensics for incident response.

Will phishing attacks decrease in 2026?

Unlikely—projections show AI amplification, but zero-trust adoption could mitigate 50% (Forrester 2025).