Attackers Expose Ongoing AI Tool Use Targeting Organizations in Latin America
Description
Two multi-stage network intrusion campaigns are actively targeting organizations in Latin America, specifically in Mexico, Ecuador, and Brazil. The Mexican campaign targets transportation and government entities using living-off-the-land techniques and self-hosted NextChat instances. The Brazilian campaign targets financial organizations with custom remote access trojans (RATs) and tunneling tools, including a Go-based SOCKS5 proxy. Both campaigns leverage AI tools such as Claude and GPT-4.1 to generate scripts and troubleshoot operations. Operational security failures by attackers, including exposed staging directories and unsecured interfaces, have allowed defenders visibility into their activities. Indicators include multiple duckdns.org domains, an IP address, and various file hashes. There are no known exploits in the wild or confirmed active threat actors at this time.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This threat involves two distinct multi-stage intrusion campaigns targeting Latin American organizations. The Mexican campaign (CL-CRI-1131) impacted transportation and government entities in Mexico and Ecuador, employing living-off-the-land tactics and self-hosted NextChat instances. The Brazilian campaign (CL-CRI-1163) targeted financial organizations using custom RATs and tunneling tools, including a Go-based SOCKS5 proxy. Both operations share technical overlaps such as shared SOCKS5 infrastructure and reliance on commercial large language models like Claude and GPT-4.1 for operational orchestration, including script generation and troubleshooting. Attackers' operational security failures, such as exposed staging directories and unsecured NextChat interfaces, have allowed defenders clear visibility into their activities. Indicators include multiple domains under duckdns.org, IP 167.148.195.53, and various file hashes. No known exploits in the wild or confirmed active threat actors are specified.
Potential Impact
The campaigns enable attackers to maintain persistent access and control over targeted organizations' networks in Latin America, potentially leading to data exfiltration, espionage, or disruption of operations. The use of AI tools enhances attackers' capabilities to automate and troubleshoot their operations, increasing their efficiency. However, operational security lapses have reduced attackers' stealth, providing defenders with opportunities for detection and response. There are no known exploits in the wild or confirmed active threat actors at this time.
Defensive Guidance
No official patches or fixes are applicable as this is an active intrusion campaign rather than a software vulnerability. Defenders should leverage the exposed operational security failures to detect and disrupt attacker infrastructure, such as monitoring for the listed domains and IP addresses, and securing any exposed staging directories or interfaces like NextChat. Incident response should focus on identifying and removing custom RATs and tunneling tools. Employing threat intelligence feeds containing the provided indicators can aid in detection. There is no vendor-managed remediation since this is not a cloud service or software vulnerability.
Technical Details
- Author
- AlienVault
- Tlp
- white
- References
- ["https://unit42.paloaltonetworks.com/ai-tool-use-targeting-latam-orgs/"]
- Pulse Id
- 6a996bdbc61a482545ffaa1c
Indicators of Compromise
Ip
| Value | Description | Copy |
|---|---|---|
ip167.148.195.53 | — |
Domain
| Value | Description | Copy |
|---|---|---|
domainm-doxa-apodo.duckdns.org | — | |
domainm-doxa-geo.duckdns.org | — | |
domainm-doxa-intel.duckdns.org | — | |
domainm-doxa-vacunas.duckdns.org | — | |
domainm-doxa-repuve.duckdns.org | — | |
domainm-doxa-sre.duckdns.org | — |
Hash
| Value | Description | Copy |
|---|---|---|
hash7d766942ef34542cee39c852286599958c4c2e23187010c4d38dbf88fcb40bf8 | — | |
hash4e218e70afdbb116209ec0ebe8fc556e296e69648aa4e0425b83c0e863a8fee5 | — | |
hash46ac289ce0c13666de616446f5d5a68da8bd150f4f065c3bec02f63776d3899c | — | |
hasha38b2cf8beff32a276eed8783723ecf8cc53d7dc88669e1b998dddc4db6fe996 | — | |
hash87bf8bc8b4a2cf34f0af1afe161f123a3d200e77f6c6f41b81bf6ae66ee172ec | — | |
hash29eee8a0e2c63360e361a0d462d30ae6 | — | |
hash4e58c2617eeee39bb7492040f25d22d2eca263e1 | — |
Threat ID: 6a999eb6acd9273b492b004f
Added to database: 09/03/2026, 16:22:14 UTC
Last enriched: 10/10/2026, 18:49:32 UTC
Last updated: 10/10/2026, 18:49:32 UTC
Views: 143
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