Jackpot Panda is a China-nexus cyber espionage threat actor primarily associated with targeting organizations and entities in East and Southeast Asia. Its operations are assessed to align with intelligence collection priorities related to domestic security and corruption concerns. The actor is commonly referenced as Jackpot Panda and JackpotPanda. Jackpot Panda has been linked to exploitation of newly disclosed internet-facing vulnerabilities, including rapid post-disclosure targeting of React Server Components remote code execution vulnerability CVE-2025-55182. In that activity, the group was observed among multiple China state-nexus clusters attempting exploitation within hours of public disclosure, reflecting a pattern of quickly operationalizing public vulnerability information for initial access. Observed tradecraft associated with Jackpot Panda includes exploitation of web application vulnerabilities, use of shared or anonymized infrastructure that complicates attribution, and deployment of post-exploitation tooling commonly seen in Chinese espionage intrusions. Reporting tied to the broader exploitation wave involving Jackpot Panda references use of implants and access tools such as Cobalt Strike, Sliver, and Vshell. The actor’s activity is consistent with espionage-oriented intrusion sets that combine opportunistic scanning, hands-on exploitation, and persistence-focused follow-on access. Attribution remains inherently challenging because Chinese threat groups frequently share infrastructure, tooling, and operational patterns. However, Jackpot Panda is consistently described as a China-linked threat actor with a regional focus on East and Southeast Asian targets and an intelligence mission rather than purely financially motivated operations.
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.
Attributed origin per open-source reporting.
12 distinct techniques observed across reporting, grouped by tactic. Hover any cell for the evidence excerpt; click through for MITRE's full description.
3 malware families attributed to this actor across reporting.
3 CVEs this actor has used in observed campaigns. 3 of them exploited in the wild.
On December 5, 2025, just two days after the public disclosure of CVE-2025-55182 – a maximum-severity remote code execution vulnerability in React Server Components (RSCs) – the Sysdig Threat Research Team (TRT) recovered a novel implant from a compromised Next.js application.
Amazon threat intelligence teams observed them simultaneously exploiting other recent N-day vulnerabilities, including CVE-2025-1338.
The flaw has been tracked as CVE-2025-55182 for React and CVE-2025-66478 for Next.js, but Mitre... rejected the second CVE as duplicative.
2 indicators attributed to this actor: domains, IPs, hashes, and other artifacts pulled from reporting. View more in app.
20 sources tracked across advisories, community write-ups, and news. New activity surfaces here as Mallory finds it.
Jackpot Panda is a China-linked group exploiting web application vulnerabilities for remote code execution and web shell deployment.
China-linked espionage group exploiting CVE-2025-55182 for initial access and persistence in cloud and technology sectors in APAC.
Listed as a threat actor associated in the report’s aggregated section with exploitation activity around React2Shell (CVE-2025-55182) and related RSC/Next.js vulnerabilities.
Named in an aggregated list of actors associated with React2Shell (CVE-2025-55182) exploitation activity.
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.