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In response to a recent high-profile “superuser” scandal in online poker, anti-cheat firm AceGuardian Research, operated by A5 Labs, has released its full detection codebase on GitHub. The move is intended to give operators and researchers free access to tools capable of identifying suspicious play within existing hand histories.
The scandal broke last month after reports surfaced that a remote-access Trojan had been embedded in tampered versions of poker software, allowing an attacker to view opponents’ screens and hole cards in real time. More than two dozen high-stakes players were reportedly affected, with the compromised programs identified as Jurojin Poker and IntuitiveTables.
Jurojin later confirmed that between June 2025 and June 2026, a “highly targeted operation” had replaced a legitimate software update with a malicious version. The attacker is alleged to have used this access to win money from players across multiple sites, including GGPoker, before suspicious activity led to bans.
AceGuardian, which has provided anti-cheat services to seven online poker platforms since 2019, says its system analyzes tens of millions of decisions daily to detect bots, collusion, real-time assistance, and superusers. Its detection model relies on multiple combined signals, including win-rate outliers and deviations from a player’s own decision-timing baseline, rather than any single indicator.
In a case review tied to the September 29 incident, AceGuardian’s baseline methodology flagged 72 hands showing statistically improbable decisions against known holdings. The suspect reportedly won around $45,000 over 757 hands at $25/50 stakes across 14 heads-up sessions in ten weeks.
The full methodology and accompanying Python-based data pipeline are now publicly available for operators to implement independently. AceGuardian also continues to accept hand history submissions from individuals or platforms for direct analysis.
