S9045: BACKUPOSINT v9.0 APEX PREDATOR
BACKUPOSINT v9.0 APEX PREDATOR is a 49-module Python malware developed entirely by Anthropic’s Claude Code as part of the AI-Assisted Breach of Mexico's Government Infrastructure campaign. BACKUPOSINT v9.0 APEX PREDATOR leverages publicly available techniques for network enumeration, credential harvesting, Active Directory interrogation, database access, privilege escalation, cloud metadata extraction, and lateral movement [1].
Security context for executives and security teams
S9045: BACKUPOSINT v9.0 APEX PREDATOR describes [BACKUPOSINT v9.0 APEX PREDATOR](https://attack.mitre.org/software/S9045) is a 49-module Python malware developed entirely by Anthropic’s Claude Code as part of the [AI-Assisted Breach of Mexico's Government Infrastructure](https://attack.mitre.org/campaigns/C0064) campaign. [BACKUPOSINT v9.0 APEX PREDATOR](https://attack.mitre.org/software/S9045) leverages publicly available techniques for network enumeration, credential harvesting, Active Directory interrogation, database access, privilege escalation, cloud metad...
Executive priority
S9045: BACKUPOSINT v9.0 APEX PREDATOR is an official MITRE ATT&CK software. Glexia treats it as defensive behavior context for prioritizing monitoring, control validation, and response planning without using the object by itself as an attribution claim.
Technical view
Security teams should validate S9045: BACKUPOSINT v9.0 APEX PREDATOR by reviewing the official ATT&CK relationships, mapped tactics (the mapped ATT&CK tactic context), supported platforms (Linux, Windows, IaaS, Containers), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
- Cloud control-plane, SaaS audit, and container platform logs
- Network, endpoint, and security-tool telemetry
Detection direction
- Validate whether S9045: BACKUPOSINT v9.0 APEX PREDATOR appears in your detection coverage and tabletop scenarios.
- Use the object to align executive risk language with SOC, incident response, and detection engineering work.
- Do not treat ATT&CK relationship context as attribution without corroborating evidence.
Mitigation priorities
- Map the object to existing controls and identify missing telemetry or response ownership.
- Prioritize mitigations that reduce exposure on the listed platforms and tactics.
- Review adjacent ATT&CK relationships before changing policy, detections, or reporting language.
Additional notes and limits
Baseline Glexia take generated from the official MITRE ATT&CK STIX object, source hash, tactics, platforms, and detection fields. It is safe to replace with a richer model-generated take for the same source hash later.
This baseline take is source-grounded and schema-validated, but it does not include environment-specific telemetry, incident evidence, or threat-intelligence corroboration.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
BACKUPOSINT v9.0 APEX PREDATOR
BACKUPOSINT v9.0 APEX PREDATOR is a 49-module Python malware developed entirely by Anthropic’s Claude Code as part of the AI-Assisted Breach of Mexico's Government Infrastructure campaign. BACKUPOSINT v9.0 APEX PREDATOR leverages publicly available techniques for network enumeration, credential harvesting, Active Directory interrogation, database access, privilege escalation, cloud metadata extraction, and lateral movement [1].
How security teams should use this page
Treat this object as behavior context, not an attribution claim. Validate the related groups, software, data sources, and mitigations against official ATT&CK relationships and your own telemetry before making control-coverage decisions.
Techniques used
This mirrors the MITRE pattern of making group, software, campaign, and technique relationships scannable. Relationship notes come from mirrored ATT&CK relationship text when available.
| Domain | ID | Name | Relationship / procedure |
|---|---|---|---|
| Enterprise | T1082 | System Information Discovery | BACKUPOSINT v9.0 APEX PREDATOR has discovered system configurations on victim devices.CitationAI-Mexico-Govt-Breach |
| Enterprise | T1046 | Network Service Discovery | BACKUPOSINT v9.0 APEX PREDATOR has enumerated the ports on victim systems within the victim environment.CitationAI-Mexico-Govt-Breach |
| Enterprise | T1057 | Process Discovery | BACKUPOSINT v9.0 APEX PREDATOR has the ability to enumerate the processes running within the victim environment.CitationAI-Mexico-Govt-Breach |
| Enterprise | T1552.005 | Cloud Instance Metadata APISub-technique | BACKUPOSINT v9.0 APEX PREDATOR has a module that is capable of gathering Cloud Instance Metadata to include AWS, Google Cloud Platform, and Azure.[1] |
| Enterprise | T1555.006 | Cloud Secrets Management StoresSub-technique | BACKUPOSINT v9.0 APEX PREDATOR has a module that gathered Cloud Secrets Management Stores from password vaults within Microsoft Azure, Amazon Web Services (AWS) and Google Cloud Platform (GCP).[1] |
| Enterprise | T1053.003 | CronSub-technique | BACKUPOSINT v9.0 APEX PREDATOR has the ability to abuse Sudo/Cron for privilege escalation.[1] |
| Enterprise | T1018 | Remote System Discovery | BACKUPOSINT v9.0 APEX PREDATOR has performed remote system discovery mapping harvested credentials to systems within the target environment.CitationAI-Mexico-Govt-Breach |
| Enterprise | T1567 | Exfiltration Over Web Service | BACKUPOSINT v9.0 APEX PREDATOR has exfiltrated data using OpenAI’s GPT-4.1 API.CitationAI-Mexico-Govt-Breach |
| Enterprise | T1683 | Generate Content | BACKUPOSINT v9.0 APEX PREDATOR has created a skills file titled `AI LATERAL_SUGGESTIONS.md` that included tables mapped with harvested credentials with potential victim internal servers.CitationAI-Mexico-Govt-Breach |
| Enterprise | T1135 | Network Share Discovery | BACKUPOSINT v9.0 APEX PREDATOR has the ability to identify NFS and SMB shares within the victim environment.[1] |
| Enterprise | T1090.002 | External ProxySub-technique | BACKUPOSINT v9.0 APEX PREDATOR has connected to compromised servers within the victim environment via SOCKS proxies.CitationAI-Mexico-Govt-Breach |
| Enterprise | T1059.009 | Cloud APISub-technique | BACKUPOSINT v9.0 APEX PREDATOR has leveraged OpenAI’s GPT-4.1 API to analyze extracted data.CitationAI-Mexico-Govt-Breach |
| Enterprise | T1552.003 | Shell HistorySub-technique | BACKUPOSINT v9.0 APEX PREDATOR has extracted system data to include histories.CitationAI-Mexico-Govt-Breach |
| Enterprise | T1548.003 | Sudo and Sudo CachingSub-technique | BACKUPOSINT v9.0 APEX PREDATOR has the ability to leverage `sudo` for executing commands.[1] |
| Enterprise | T1552.001 | Credentials In FilesSub-technique | BACKUPOSINT v9.0 APEX PREDATOR has gathered credentials stored in configuration files.CitationAI-Mexico-Govt-Breach |
| Enterprise | T1528 | Steal Application Access Token | BACKUPOSINT v9.0 APEX PREDATOR has the ability to steal application tokens for CI/CD services to include Bamboo, Github, and Jenkins.[1] |
| Enterprise | T1609 | Container Administration Command | BACKUPOSINT v9.0 APEX PREDATOR can interact with and execute Docker and Kerberos commands.[1] |
Groups, software, and campaigns
C0064: AI-Assisted Breach of Mexico's Government Infrastructure
The AI-Assisted Breach of Mexico's Government Infrastructure is a campaign where human operators used Claude Code AI and OpenAI GPT GPT-4.1 AI to perform reconnaissance, vulnerability exploitation, privilege escalation, discovery, credential harvesting, and exfiltration operations. The attack impacted several Mexican government institutions including the Federal Tax Authority (Servicio de Administracion Tributaria), Mexico State Government (Estado de Mexico), Mexico City Civil Registry (Registro Civil de CDMX), Jalisco State Government, National Electoral Institute (Instituto Nacional Electoral), Michoacan State Government, SADM Monterrey Municipal Water Utility (Agua y Drenaje), Tamaulipas State Government, and the Mexico City Health Department (Salud CDMX). The attack resulted in the theft of large amounts of sensitive government data and civilian records. Please note that due to the breadth of this campaign, public reporting only provides select details and as a result this campaign should not be considered comprehensive.[1]
All related ATT&CK context
Object version and sync metadata
The fields below describe the current mirrored snapshot. When Glexia retains multiple ATT&CK source imports, you can open the table to compare the same object across releases (hashes and MITRE timestamps). For MITRE’s own release notes and roadmap, see ATT&CK resources — Updates.
Imported snapshots across ATT&CK releases(1)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 20.0 | 1.0 | Current bundle | 027b34b23508… |
Mirrored ATT&CK source object
The raw object is retained through the mirrored ATT&CK source bundle and object hash. The raw endpoint returns the exact object from the mirrored bundle when available.
External references and citations
MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.
- [1]AI-Mexico-Govt-Compromise
Jay Deen. (2026, May). AI-Assisted Compromise of Mexican Water Utility with OT Implications. Retrieved September 2, 2026.
Open source URL - [2]mitre-attackS9045Open source URL
Source: MITRE ATT&CK®. © 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation. MITRE ATT&CK and ATT&CK are registered trademarks of The MITRE Corporation. Glexia is not affiliated with or endorsed by MITRE.