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AII-1001-45239
ConfirmedA court, a regulator or the organization itself has stated the core facts, or the record cites a court or regulator source.Supporting sources are pending verification.

SesameOp backdoor exploits OpenAI Assistants API for covert command-and-control

Microsoft researchers discovered SesameOp, a backdoor that exploits OpenAI's Assistants API to establish covert command-and-control channels for malware. The malware enables persistent unauthorized access, command execution, and data exfiltration by disguising malicious activity as legitimate API traffic.

July 2025 Β· Microsoft Β· Security and cyberattacks
July 2025
AII-1001-45239
Quick facts
Category
Security and cyberattacks
Country
United States
Date
July 2025
Drafted by
Raidu Incident Detection

What happened

In July 2025, Microsoft Detection and Response Team researchers discovered a backdoor named SesameOp that exploits OpenAI's Assistants API. The malware uses the API as a covert command-and-control channel, enabling persistent access to compromised devices without relying on traditional methods.

The backdoor abuses the Assistants API as a storage and relay mechanism to fetch commands, which the malware then executes, while also exfiltrating data via encrypted API traffic. Microsoft researchers concluded this does not represent a vulnerability but rather a misuse of built-in API capabilities.

Reported impact

The threat actor used the SesameOp backdoor to conduct long-term espionage operations, managing compromised devices undetected and harvesting data for espionage-type purposes.

Index analysis

By leveraging OpenAI's infrastructure, the cybercriminals masked their malicious activities within legitimate API traffic, making detection more difficult than traditional command-and-control methods.

Governance controls

Microsoft urged organizations to audit and review firewalls, implement tamper protection, and deploy endpoint detection tools to mitigate threats from the SesameOp backdoor.

Classification

Category
Security and cyberattacks
Industry
Digital security
Country
United States
Harm status
Actual harm
Intent
Intentional
Timing
Post-deployment
Harmed
Business
Failure modes
Data leak
AI systems
OpenAI Assistants API

Sources and evidence

Sources not yet published

This record was researched and written by the Index from original reporting. Its sources are still being verified by an editor, and they are listed here once that check is complete. Until then the record carries no reviewer.

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