Operation STANDOFF is a Russian-speaking cybercriminal campaign identified in 2026 that operates as a multi-payload malware distribution and post-compromise platform. The activity has been associated with Russian-hosted infrastructure and combines commodity malware delivery, credential theft, persistence, defense evasion, and intrusion management capabilities. The campaign has been observed using an NSIS-based pay-per-install loader to deploy multiple malware families in parallel, including Raccoon Stealer, RedLine Stealer, Amadey, SmokeLoader, Socelars, Glupteba, XMRig, and NirSoft credential-recovery tooling. The operation emphasizes broad monetizable access and data collection. Its tooling supports theft of passwords, NTLM hashes, Kerberos tickets, API tokens, cookies, and private keys, indicating a focus on credential harvesting and session abuse in addition to general post-exploitation. Persistence and stealth mechanisms include scheduled tasks, autorun mechanisms, service creation masquerading as legitimate virtualization components, and placement of binaries under deceptive system-like paths. Defense evasion includes attempts to disable Microsoft Defender protections, anti-virtualization checks, anti-debugging logic, and syscall-based or low-level execution techniques intended to reduce visibility to security tooling. A notable component of the ecosystem is STANDOFF COORD, a Russian-language multi-operator intrusion console oriented toward Active Directory environments. It tracks hosts across internal, external, and DMZ segments and appears designed to coordinate multi-host compromise and credential-centric operations. The campaign also used resilient command-and-control discovery methods, including dead-drop resolver techniques across public platforms. Separate but related infrastructure has been linked to an AI-enabled influence and messaging platform used for Telegram account farming and coordinated mass messaging across multiple communications channels. Operation STANDOFF is best characterized as a financially motivated cybercriminal operation with capabilities spanning initial malware delivery, credential theft, persistence, defense evasion, post-exploitation, and exfiltration-oriented access enablement. No high-confidence victim-country or victim-industry pattern is directly established from the available facts.
Mallory correlates actor tradecraft and target patterns against your stack, your sector, and your geography. See overlap before they land.
Who, where, and (when attributed) which flag flies behind the operation. Pulled from open-source reporting and Mallory's analyst review.
Sectors the actor has been observed targeting.
Attributed origin per open-source reporting.
28 distinct techniques observed across reporting, grouped by tactic. Hover any cell for the evidence excerpt; click through for MITRE's full description.
8 malware families attributed to this actor across reporting.
3 additional families tracked in Mallory.
115 indicators attributed to this actor: domains, IPs, hashes, and other artifacts pulled from reporting. View more in app.
1 sources tracked across advisories, community write-ups, and news. New activity surfaces here as Mallory finds it.
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.