SesameOp is the name assigned to a backdoor associated with a previously unknown advanced persistent threat conducting long-term cyber espionage. The operation is notable for abusing the OpenAI Assistants API as a covert command-and-control channel, allowing malicious traffic to blend with legitimate cloud and AI service usage. This reflects a broader tradecraft pattern in which threat actors hide C2 activity behind trusted third-party infrastructure. Observed tradecraft indicates use of spear-phishing as the predominant intrusion vector in the broader campaign environment, with government and military entities as the principal target classes. The malware reportedly employed a trojanized DLL loader and .NET AppDomainManager injection to establish execution and persistence, and used a specialized injection technique to support stealthy post-compromise operations. The actor’s use of legitimate AI infrastructure for C2 represents an uncommon but significant evolution in defense-evasion and post-exploitation methods. At high confidence, SesameOp is linked to espionage activity rather than financially motivated crime or ransomware. Publicly available reporting in this context does not attribute the operator to a specific named threat group or nation state, and no corroborated sub-group structure or additional aliases are established beyond the malware name itself.
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1 distinct technique observed across reporting, grouped by tactic. Hover any cell for the evidence excerpt; click through for MITRE's full description.
3 sources tracked across advisories, community write-ups, and news. New activity surfaces here as Mallory finds it.
Unknown APT group using the SesameOp backdoor to conduct cyber espionage, leveraging the OpenAI Assistants API as a C2 channel.
SesameOp is a backdoor that abuses the OpenAI Assistants API for covert command-and-control, hiding malicious traffic as legitimate API usage.
SesameOp is a backdoor that abuses the OpenAI Assistants API for covert command-and-control, hiding malicious traffic as legitimate API usage.
Match sector + geo + tech-stack targeting against your real footprint.
Every observed MITRE ATT&CK technique, grouped by tactic.
Families this actor is known to deploy, with IOCs and behavior.
CVEs this actor has used in known campaigns.
YARA, Sigma, Snort, and vendor rules, auto-deployed to your SIEM.
Domains, IPs, and hashes tied to this actor, refreshed continuously.