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Under Active Attack

Executive Summary

In September 2026, cybersecurity researchers at Flashpoint validated a sophisticated EDR evasion technique called 'process parameter poisoning,' originally discovered by Max Hirschberger and Ogulcan Ugur in July 2026. This technique allows attackers to inject malicious code into Windows process initialization structures without using traditional Windows APIs that EDR tools monitor, such as VirtualAllocEx() and WriteProcessMemory(). When combined with additional evasion methods like DLL unhooking and non-Microsoft DLL blocking policies, the technique successfully bypassed multiple market-leading EDR solutions without generating any security alerts.

This discovery represents a significant shift in the cybersecurity landscape as threat actors increasingly develop advanced techniques to circumvent endpoint detection systems. The research highlights the growing sophistication of EDR evasion methods and the need for security teams to monitor actual process behavior rather than relying solely on traditional API monitoring approaches.

Why This Matters Now

EDR evasion techniques are rapidly evolving, with attackers increasingly targeting the blind spots in endpoint security monitoring. This technique demonstrates how sophisticated threat actors can bypass multiple layers of security controls simultaneously, requiring immediate updates to detection strategies and endpoint security architectures.

Attack Path Analysis

MITRE ATT&CK® Techniques

Potential Compliance Exposure

Sector Implications

Sources

Frequently Asked Questions

Process parameter poisoning injects malicious code directly into Windows process initialization structures without using the traditional Windows APIs like VirtualAllocEx() that EDR tools typically monitor.

Cloud Native Security Fabric Mitigations and ControlsCNSF

Based on the attack progression modeled above, these are the defensive controls that would constrain each stage.

Aviatrix Zero Trust CNSF would have significantly constrained this process injection attack by limiting lateral movement pathways and reducing blast radius across cloud workloads through microsegmentation and controlled east-west traffic flows.

Initial Compromise

Control: Cloud Native Security Fabric (CNSF)

Mitigation: Initial compromise scope would likely be contained to specific network segments, reducing the attacker's ability to immediately discover and access additional cloud workloads beyond their entry point

Privilege Escalation

Control: Zero Trust Segmentation

Mitigation: Process injection activities would likely face restricted network access patterns, limiting the injected code's ability to establish unauthorized connections or access privileged network resources beyond the compromised workload

Lateral Movement

Control: East-West Traffic Security

Mitigation: Lateral movement attempts would likely encounter significant barriers as east-west traffic inspection would constrain unauthorized inter-workload communications and limit reachability to critical systems across cloud segments

Command & Control

Control: Multicloud Visibility & Control

Mitigation: Command and control channel establishment would likely be disrupted through visibility into abnormal traffic patterns and policy enforcement that constrains unauthorized outbound communications from compromised workloads

Exfiltration

Control: Egress Security & Policy Enforcement

Mitigation: Data exfiltration attempts would likely face significant constraints through controlled egress policies that limit unauthorized outbound data flows and reduce available channels for sensitive information transfer

Impact (Mitigations)

Final impact scope would likely be significantly reduced to isolated network segments, constraining ransomware spread and limiting data destruction to workloads within the attacker's reduced blast radius

Impact at a Glance

Affected Business Functions

  • Endpoint Security Operations
  • Threat Detection and Response
  • Security Monitoring
  • Incident Response
Operational Disruption

Estimated downtime: N/A

Financial Impact

Estimated loss: N/A

Data Exposure

This research publication demonstrates a proof-of-concept EDR evasion technique rather than an active data breach. The technique could potentially enable threat actors to bypass endpoint detection systems and execute malicious payloads undetected, but no actual data exposure is reported in this research context.

Recommended Actions

  • • Implement Zero Trust segmentation with identity-based policies to limit lateral movement between workloads even when process injection succeeds
  • • Deploy east-west traffic security controls to monitor and restrict inter-service communications that could facilitate undetected lateral movement
  • • Enable egress security and policy enforcement to detect and block unauthorized data exfiltration through covert channels
  • • Utilize multicloud visibility and control capabilities to detect anomalous process behaviors and suspicious automation across hybrid environments
  • • Enhance threat detection with behavioral monitoring that focuses on process activities rather than relying solely on traditional API call monitoring

Secure the Paths Between Cloud Workloads

A cloud-native security fabric that enforces Zero Trust across workload communication—reducing attack paths, compliance risk, and operational complexity.

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