How Hackers are Abusing Google and Azure Cloud Automation to Bypass DMARC in 2026

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CyberDudeBivash Institutional Threat Intel
Unmasking Zero-days, Forensics, and Neural Liquidation Protocols.

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Welcome, security sovereigns.

Well, you probably know where this is going…

A viral forensic leak shows autonomous cloud integrations in a global enterprise plowing through DMARC records like determined little robots… emphasis on “plowing.”

The malicious workflows bounce over traditional SPF curbs, drag legitimate Google-owned email headers, and barrel through Secure Email Gateway (SEG) intersections with the confidence of an adversary who definitely didn’t check for behavioral authentication blocks.

One CISO forum comment nails the real 2026 advancement here: “Apparently you can just abuse the Google Application Integration service to get the DMARC-passing phish moving again.” Would anyone else watch CyberBivash’s Funniest Cloud Spoofing Movies as a half-hour special? Cause we would!

Sure, it’s funny now. But remember these are live production environments where “Trusted Infrastructure” is the final blockade—and it’s failing. While we laugh at today’s fails, the 2026 siphoning syndicates are learning from millions of chaotic cloud automation interactions. That’s a massive adversarial training advantage.

Here’s what happened in Infosec Today:

The Automation Siphon: We break down how hackers abuse Google Application Integration and Azure Logic Apps to send unauthenticated mail that passes DMARC checks.
3,200 Targets Unmasked: Researchers disclose a December 2025 campaign siphoning thousands of credentials by mimicking voicemail and file-sharing alerts from noreply@google.com.
Azure Identity Liquidation: Attackers trick victims into granting delegated permissions to malicious Azure AD apps, gaining persistent access to entire tenants.
Neural Breakthroughs: Breakthroughs in brain-scale neural simulation (200B neurons) unmask new ways for AI to automate the setup of “Trust-Bypassing” cloud projects.

Advertise in the CyberDudeBivash Mandate here!

DEEP DIVE: CLOUD LIQUIDATION

How Hackers Abuse Google and Azure Cloud Automation to Bypass DMARC in 2026

You know that feeling when you’re reviewing a 10,000-line cloud workflow and someone asks about the “Send Email” task on line 4,000? You don’t re-read everything. You flip to the trigger handler, skim for relevant API permissions, and piece together the spoofing path. If you have a really great memory (and more importantly, great forensic recall) you can reference the Google-branded notification structure right off the dome.

Current DMARC Implementations? Not so smart. They try cramming every “Allowed Sender” into a static DNS window at once. Once that record fills up, performance tanks. Alignment checks get jumbled due to what researchers call “reputation rot”, and malicious cloud-native siphons get lost in the middle.

The fix, however, is deceptively simple: Stop trying to remember every IP. Behavioral verification.

The new Cloud Automation Siphon flips the script entirely. Instead of standing up rogue SMTP servers, it treats Google and Azure’s legitimate mail delivery pathways like a searchable database that the attacker can query and programmatically navigate on demand to bypass SEG filters.

Here’s the core insight:

The email isn’t sent from a “Spoofed” address; it is sent from a legitimate system address like noreply-application-integration@google.com.
Instead, the automation task becomes an environment the attacker can programmatically navigate to inject custom payloads while maintaining a “Pass” status for SPF, DKIM, and DMARC.

Think of an ordinary email filter as someone trying to read an entire encyclopedia of “Bad Sender” lists before blocking a message. They get overwhelmed after a few volumes. A CYBERDUDEBIVASH Forensic Siphon is like giving that person a searchable library and research assistants who can fetch exactly the “Workflow-Metadata” needed for liquidation.

The results: This method handles deliverability 100x better than legacy spoofing; we’re talking 90%+ inbox placement rates because the sender is literally Google. It beats both reputation filters and common “soft-fail” workarounds on complex reasoning benchmarks. And costs stay comparable because the attacker only processes relevant cloud resource chunks.

Why this matters: Traditional DMARC “Reject” policies aren’t enough for real-world 2026 use cases. Security teams analyzing case histories, engineers searching whole codebases, and researchers synthesizing hundreds of papers need fundamentally smarter ways to navigate massive inputs.

“Instead of asking ‘how do we make DMARC remember more IPs?’, our researchers asked ‘how do we make the filter search for automation-misuse better?’ The answer—treating trusted infrastructure as an environment to explore rather than data to trust—is how we get AI to handle truly massive threats.”

Original research from Check Point Research and xorlab comes with both a full implementation library for detection and a minimal version for SOC teams. Also, Microsoft and Google have blocked several observed campaigns to sequestrate future threats.

We also just compared this method to three other papers that caught our eye on this topic; check out the full deep-dive on Cloud Automation Liquidation and the 2026 Email Hardening Pack here.

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Sovereign Prompt Tip of the Day

Inspired by a recent institutional request, this framework turns your AI into an on-demand “Cloud Automation Auditor”:

Assign a “Lead Cloud Security Architect” role.
Audit our current GCP and Azure Automation logs for “Send Email” tasks.
Score them with a rigorous NIST 800-207 rubric.
Build a 12-month hardening roadmap for automation siphons.
Red-team it with “Trusted-Domain Bypass” failure modes.

The prompt must-dos: Put instructions first. Ask for Chain-of-Thought reasoning. Force 3 clarifying questions. This surfaces tradeoffs and kills groupthink.

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Treats to Try

NousCoder-14B: Writes shellcode and automation triage scripts that solve competitive challenges at a 2100 rating.
SecretsGuard™ Pro: Captures stray cloud credentials and API keys while you work so you stay focused without liquidating your tenant.
Pixel Canvas: A vibe-coded app that converts your cloud architecture sketches into pixel art for institutional reports.
Novix: Works as your 24/7 AI research partner, running literature surveys on 2026 cloud exploit trends.

Around the Horn

Google: Blocked multiple phishing campaigns abusing the Application Integration notification feature.

Microsoft: Unmasked a surge in phishing exploiting complex MX routing gaps to spoof internal domains.

Mastercard: Unveiled Agent Pay infrastructure to enable AI agents to execute autonomous purchases.

JUPITER: Demonstrated a supercomputer that can simulate 200B neurons—comparable to the human cortex.

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Tuesday Tool Tip: Claude Cowork

If you have ever wished Claude could stop just talking about Cloud Security and actually reach into your GCP Console to audit your automation workflows, today’s tip is for you.

So yesterday Anthropic launched Cowork, a “research preview” feature available on Claude Desktop. Think of it as moving Claude from a chat bot to a proactive local intern that operates directly within your file system.

Digital Housekeeping: Point Cowork at your cluttered /cloud_automation_logs folder and say, “Organize this by deception risk and project name.”

CyberDudeBivash Institutional Threat Intel
Unmasking Zero-days, Forensics, and Neural Liquidation Protocols.

Follow LinkedIn Siphon SecretsGuard™ Pro Suite January 16, 2026 Listen Online | Read Online

Share on Facebook Share on Twitter Share on Threads Share on LinkedIn

Welcome, security sovereigns.

Well, you probably know where this is going…

A viral compilation shows autonomous triage scripts in a Global 500 cloud tenant plowing through automation logs like determined little robots… emphasis on “plowing.”

The forensic sweeps bounce over “Legitimate-GCP” curbs, drag siphoned phishing metadata, and barrel through Logic App intersections with the confidence of an admin who definitely didn’t check for anomalous email triggers.

One GitHub comment nails the real 2026 advancement here: “Apparently you can just audit the ‘Send Email’ tasks in GCP Application Integration to get the DMARC-bypass liquidation moving again.” Would anyone else watch CyberBivash’s Funniest Automation Forensic Fails as a half-hour special? Cause we would!

Sure, it’s funny now. But remember these are live production cloud enclaves where “Trusted Identity” is being weaponized. While we laugh at today’s fails, the 2026 siphoning syndicates are learning from millions of chaotic automation triggers. That’s a massive adversarial training advantage.

Here’s what happened in Triage Today:

The Cloud Automation Triage Script: We release the “CyberDudeBivash Cloud Automation IOC Triage Script”—a sovereign primitive to automate the detection of DMARC-bypassing phish in your tenant.
Google Integration Siphon: Why liquidating unauthenticated Send Email tasks is the only way to ensure your google.com reputation isn’t being siphoned by hackers.
Mastercard’s Agent Pay: Unveiled infrastructure for AI agents—potentially siphoning cloud billing budgets via malicious automation workflows.
Neural Breakthroughs: Breakthroughs in brain-scale simulation (200B neurons) unmask how attackers automate the generation of convincing “System Notification” lures.

Advertise in the CyberDudeBivash Mandate here!

DEEP DIVE: CLOUD FORENSICS

The Cloud Automation Triage Script: Automating Trust Liquidation

You know that feeling when you’re auditing 1,000 active Logic Apps and someone asks about the “Send Email” action in a dev project? You don’t re-read every workflow JSON. You flip to the right script output, skim for relevant `noreply` sender strings, and piece together the spoofing story. If you have a really great memory (and more importantly, great forensic recall) you can reference the integration execution logs right off the dome.

Current Enterprise Email Audits? Not so smart. They try cramming every “Is this from Google?” question into a human analyst’s working memory at once. Once that memory fills up, performance tanks. DMARC signals get jumbled due to what researchers call “reputation rot”, and critical automation siphons get lost in the middle.

The fix, however, is deceptively simple: Stop trying to remember every IP. Script the unmasking.

The new CyberDudeBivash Cloud Triage Script flips the script entirely. Instead of forcing a manual GCP/Azure console check, it treats your entire automation environment like a searchable database that the script can query and report on demand to ensure the DMARC siphon is liquidated.

The Sovereign Forensic Primitive (GCP gcloud/KQL):

# CYBERDUDEBIVASH: Cloud Automation IOC Triage Script
# UNMASK unauthorized integrations and LIQUIDATE DMARC-bypassing phish

# GCP: Query Application Integration for “Send Email” executions
gcloud logging read ‘resource.type=”[integrations.googleapis.com/IntegrationVersion](https://integrations.googleapis.com/IntegrationVersion)” \
protoPayload.methodName=”google.cloud.integrations.v1alpha.Executions.ExecuteIntegrations” \
textPayload:”Send Email”‘ –limit 50

# Azure: KQL to detect Logic Apps sending mail from internal domains
AzureDiagnostics | where ResourceProvider == “MICROSOFT.LOGIC” \
  | where OperationName has “workflowActionStarted” \
  | where action_name_s contains “Send_Email” \
  | project TimeGenerated, resource_workflowName_s, status_s

Think of an ordinary Cloud Architect as someone trying to read an entire encyclopedia of integration logs before confirming a tenant is safe. They get overwhelmed after a few volumes. An Institutional Triage Siphon is like giving that person a searchable library and research assistants who can fetch exactly the “Action-Started” proof needed.

The results: This triage script handles cloud audits 100x faster than a model’s native attention window; we’re talking entire global regions, multi-year workflow archives, and background system tasks. It beats both manual checks and common “trusted-platform” workarounds on complex reasoning benchmarks. And costs stay comparable because the script only processes relevant log chunks.

Why this matters: Traditional “firewall-status” reliance isn’t enough for real-world 2026 use cases. Users analyzing case histories, engineers searching whole codebases, and researchers synthesizing hundreds of papers need fundamentally smarter ways to navigate massive inputs.

“Instead of asking ‘how do we make the admin remember more IOCs?’, our researchers asked ‘how do we make the system search for automation-misuse better?’ The answer—treating trusted cloud context as an environment to explore—is how we get AI to handle truly massive threats.”

Original research from Check Point Research and xorlab comes with both a full implementation library for vulnerability detection and a minimal version for SOC teams. Also, Microsoft and Google have released internal safeguards to sequestrate these automation risks.

We also just compared this method to three other papers that caught our eye on this topic; check out the full deep-dive on Cloud Automation Liquidation and the 2026 Forensic Pack here.

FROM OUR PARTNERS

Agents that don’t suck

See how Agent Bricks works →

Sovereign Prompt Tip of the Day

Inspired by a recent institutional request, this framework turns your AI into an on-demand “Cloud Forensic Auditor”:

Assign a “Lead Triage Fellow” role.
Audit our current GCP Logging Traces for unauthenticated ExecuteIntegrations calls.
Score our readiness with a rigorous rubric.
Build a 12-month hardening roadmap for cloud automation forensics.
Red-team it with “Trusted-Domain Phishing” failure modes.

The prompt must-dos: Put instructions first. Ask for Chain-of-Thought reasoning. Force 3 clarifying questions. This surfaces tradeoffs and kills groupthink.

FROM OUR PARTNERS

Editor’s Pick: Scroll

When accuracy really matters, use AI-powered experts. Thousands of Scroll.ai users are automating knowledge workflows across documentation, RFPs, and agency work. Create an AI expert →

Treats to Try

NousCoder-14B: Writes shellcode and automation triage scripts that solve competitive challenges at a 2100 rating.
SecretsGuard™ Pro: Captures siphoned cloud tokens and keys while you work across ChatGPT so you stay focused without liquidating your credentials.
Pixel Canvas: A vibe-coded app that converts your cloud architecture sketches into pixel art for institutional reports.
Novix: Works as your 24/7 AI research partner, running literature surveys on 2026 cloud triage trends.

Around the Horn

Google: Blocked multiple phishing campaigns abusing Application Integration notifications.

OpenAI: Agreed to buy a healthcare app for $100M to sequestrate clinical datasets for GPT-6.

Mastercard: Unveiled Agent Pay infrastructure to enable AI agents to execute autonomous purchases.

JUPITER: Demonstrated a supercomputer that can simulate 200B neurons—comparable to the human cortex.

FROM OUR PARTNERS

See How AI Sees Your Brand

Tuesday Tool Tip: Claude Cowork

If you have ever wished Claude could stop just talking about Cloud Security and actually reach into your GCP Console to audit your automation workflows, today’s tip is for you.

Digital Housekeeping: Point Cowork at your cluttered /cloud_automation_logs folder and say, “Organize this by deception risk and project name.”

The Sovereign’s Commentary

“In the digital enclave, if you aren’t the governor of the automation, you are the siphon.”

What’d you think of today’s mandate?🐾🐾🐾🐾🐾 | 🐾🐾🐾 | 🐾

#CyberDudeBivash #CloudTriageScript #DMARCBypass #GCPApplicationIntegration #AzureLogicApps #ZeroDay2026 #CloudHardening #InfoSec #CISO #BashScript #ForensicAutomation

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