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Home/Threats/Casbaneiro Malware Hides C2 Until Victims Visit Banking Sites
Threats

Casbaneiro Malware Hides C2 Until Victims Visit Banking Sites

Key Takeaways Casbaneiro, a sophisticated Windows banking trojan, employs a multi-stage infection process that delays its primary command and control (C2) communication until a victim accesses a...

Jennifer sherman
Jennifer sherman
October 12, 2026 6 Min Read
4 0

Key Takeaways

  • Casbaneiro, a sophisticated Windows banking trojan, employs a multi-stage infection process that delays its primary command and control (C2) communication until a victim accesses a targeted banking website.
  • The malware leverages geographic filtering, phishing emails, and multiple server interactions to evade detection and analysis, predominantly targeting users in Latin American countries such as Argentina, Peru, Colombia, and Mexico.
  • Initial data exfiltration, including Outlook contacts, occurs stealthily before the main C2 channel is activated, making early analysis challenging.
  • Defenders should focus on correlating email, endpoint, and network events, monitoring for unusual AutoIt script execution, and exercising caution with HTTP 403 responses from suspicious servers.

Casbaneiro Malware Employs Stealthy C2 Activation Triggered by Banking Site Visits

The Casbaneiro banking trojan has been observed utilizing an advanced evasion technique, deferring its primary command and control (C2) traffic until an infected user navigates to a specific banking website. This strategy allows the malware to maintain a low profile, complicating detection efforts by security analysts.

Table Of Content

  • Key Takeaways
  • Casbaneiro Malware Employs Stealthy C2 Activation Triggered by Banking Site Visits
  • Initial Infection and Evasion Tactics
  • AutoIt Loader and Persistent Infection
  • What You Should Do
  • File Hashes
  • Network Indicators
  • Cryptocurrency Addresses
  • Host Artifacts and Detection Names

This Windows-based banking trojan orchestrates a complex attack chain involving deceptive phishing emails, IP-based geographical checks, phased payload delivery, and the use of distinct servers for various data collection activities. This distributed architecture is designed to make an active infection appear benign during routine security assessments, as detailed in a technical report published by Fortinet’s FortiGuard Labs.

The campaign primarily targets individuals within Latin American countries, with observed activity spanning Argentina, Peru, Colombia, and Mexico. A critical aspect of its operational stealth is its timing: sensitive information can be exfiltrated from a compromised system even before the main C2 channel becomes active. Consequently, the absence of immediate C2 traffic should not be interpreted as an indication of malware inactivity. Researchers at Fortinet’s FortiGuard Labs initially identified this sophisticated campaign in August 2026.

In their September 10 report, researcher Rachael Liao elucidated how Casbaneiro meticulously compartmentalizes its malicious operations. Email credential harvesting, victim registration, and remote control functionalities are distributed across separate server infrastructures. This segmented design intentionally obfuscates the overall attack chain, making it more difficult for security professionals to piece together the full scope of the compromise.

Initial Infection and Evasion Tactics

The attack typically commences with phishing emails containing malicious PDF attachments. These emails are crafted to mimic legitimate invoices or legal notifications, often including urgent calls to action, such as demands related to court proceedings. Some lures enhance their credibility by personalizing messages with the recipient’s email address, thereby increasing the likelihood of interaction with a malicious link embedded within.

Clicking the malicious link directs the victim to a web page that performs an IP address geolocation check. If the visitor’s IP address falls outside the campaign’s target regions, they are redirected to benign websites like Google or YouTube. This regional filtering mirrors tactics observed in other banking malware, such as Grandoreiro, which uses location-based checks to restrict payload delivery and prevent exposure to researchers operating outside the intended geographical scope.

For visitors within the targeted geographical areas, the webpage delivers a ZIP archive, with its contents encoded in Base64 within JavaScript. This script initiates a download via the browser’s standard download interface, subsequently redirecting the user to a blank page. This sequence is designed to minimize suspicion, providing the victim with fewer immediate clues that a malicious download has occurred.

The downloaded ZIP archive contains an HTA (HTML Application) file, a Windows application format capable of executing scripts. This HTA file then loads external JavaScript, which, in turn, retrieves an XML script package containing JScript. This code incorporates Windows Management Instrumentation (WMI) queries to detect virtualized or sandbox environments and verify that the operating system’s language matches a predefined list, further enhancing its evasion capabilities.

Upon successful completion of these environmental checks, the downloader retrieves three distinct components: a legitimate AutoIt interpreter, a compiled AutoIt script, and a compressed payload. This modular approach hinders analysis, as examining individual components in isolation may not reveal their full malicious intent.

AutoIt Loader and Persistent Infection

The use of randomly generated filenames for these components further complicates tracking and analysis. The separation of components also serves to weaken file-level analysis, as their combined malicious behavior may not be evident when each file is inspected independently.

To establish persistence, a shortcut is created in the Windows Startup folder, ensuring the AutoIt script executes each time the user logs in. The loader displays a convincing, yet fake, Windows service window before decompressing the final payload and injecting it into either RegSvcs.exe or, as a fallback, mobsync.exe. This technique, including the use of AutoIt components and Startup shortcuts, has also been observed in activities linked to the Horabot banking trojan.

Casbaneiro decrypts its configuration settings using an algorithm similar to that employed by Ousaban. It reconstructs fragmented encrypted strings and keys only when necessary. The trojan also includes a check to reject systems where the default language is German, French, or English. While this shared algorithm is noteworthy, it does not definitively establish a common operator between the Casbaneiro and Ousaban campaigns.

The trojan actively collects address book contacts, sender details, and recipient information from Microsoft Outlook messages, transmitting this data unencrypted. It also generates a unique victim identifier by hashing the computer name, username, and executable name using MD5, and employs local markers to prevent redundant data collection. Intriguingly, another server receiving Base64 encoded victim information is configured to return an HTTP 403 Forbidden status. Casbaneiro treats this 403 response as the expected confirmation of successful data receipt, retrying only if it receives a different HTTP status. This deceptive behavior can mislead analysts into believing the infrastructure is inactive or non-functional, thereby missing a crucial part of the attack chain.

The pivotal moment for the main C2 communication is a user’s visit to a specific, targeted banking website. Once triggered, the C2 server can issue a range of commands, including keyboard control, clipboard manipulation, file execution, command execution, and the display of fake banking windows. This behavior underscores why security tests that do not simulate visits to targeted banking pages may fail to detect the full spectrum of Casbaneiro’s capabilities, a characteristic also seen in Ousaban’s banking session attacks.

Fortinet’s analysis also revealed anomalies in network traffic, such as HTTP requests lacking a Host header, unusually large Content-Length values, and message bodies fragmented into numerous small packets. These irregularities are designed to complicate network traffic inspection and analysis.

What You Should Do

  • Enhance Email Security: Implement robust email filtering solutions to detect and block phishing attempts, particularly those impersonating invoices or legal notices.
  • Endpoint Protection: Ensure antivirus and endpoint detection and response (EDR) solutions are up-to-date and configured to detect the Casbaneiro payload and associated malicious scripts. Fortinet reports its antivirus service detects the campaign’s phishing PDFs, malicious JavaScript, and the Casbaneiro payload.
  • Network Monitoring: Correlate email, endpoint, and network events to identify suspicious activity. Pay close attention to unexpected AutoIt script execution and the creation of new shortcuts in Windows Startup folders. Do not assume HTTP 403 responses from suspicious servers indicate harmlessness; investigate them thoroughly.
  • User Awareness Training: Conduct regular cybersecurity awareness training for employees, emphasizing the risks of phishing emails and the importance of scrutinizing unexpected attachments or links, especially those related to invoices or legal matters.
  • Incident Response: Utilize the provided Indicators of Compromise (IoCs) to proactively search for signs of infection within your environment.

File Hashes

Sample type Hash as published
PDF 6bb4372d0d02ec87b76409f69d445a93910964f8db457bafafb97a011da59e73
PDF 40d253480f752805e58c21266e40afe99afc96feea0d355732af5bea459db1dd
PDF bf92a287a3d79afb73a3f2d38877ec37c22a9f4a7d6ac2e0385472298f384fc8
PDF 943d63ace373ee50d074daf84d357f8e5e62ff91c829d87f566bee453d715280
PDF 711c0aa8cde078aa349fb329e3e44e4272ea66a5e651ad8a64893c76a725c859
PDF d910e08a11a4f6f764e7495f4602a00b6024ca6e1b70fe30ba3752b881574365
PDF 47d321c1a232e5cdd1e39a06dadbd79114dc1a2f0f8eac289e6b653a5d126f95
PDF d13ad6fc5fda54e65f1214e554a5123126ac7b3ce6db57566ed7bd0e92d03d85
PDF d04f68079ca90c65223a907f23fae5d068904a2145348b953b1d06e2eaf0bf2c
PDF 1b4d5c95f4fc037ca3c359cea5ca2da1285bbadab12bcdcb47f3dad8bc6fa8ed
PDF 62ef39ec29966d71c8254f68bd5e320cf24a042d76c12dbafdcc0766861827c5
PDF 1f1a89bef73e4866a198a08e750f96348ce2b82816a8353e9a8a574bfde5f491
PDF ea8af591fe2d605c82bb7831d2ebdfb17cb2659880e1a8a7b0a2dd851dc5e7a3
PDF 0b4d962eef2d06abfe08a8cd0b15edd224d4fae0b57d708aebd77d99667616d5
PDF c521b3a189b0089a2558aa4e42bd9fb5558e1b17917e2e183a4bd9cbcb2ed77e
PDF 0849a6b87fbef25089ad0be746f84047b080ba81898a8614da43d4ab60ef735a
Email debe871710268e7bb770b72c6772f2e0b8bd40a22b2eabf4b6556eaba2d71057
Email eaec8c6950f394ad5dcd271aa86f08cb2b8374203ecc67015af7ca6057244390
Email 995b1156562150c15970aa2d6b27f0b442d758594d820ec09d53d5e861fac457
Email 918dd413cceed3b8aeaa79e45d9d7b2030d73e2affa4339b8f9d043d08844f62
Email be5a110ee72ebcf1b7d9e155308a8abc606bd446f8aec1a9f33cd06ca0f3c056
Email dc62e645589463a61e6ac562d034a9de4ed897714389eb6b87bb02f0bd59d565
HTA 4302586202234cdf1ca058fd3c62be0050c8155ed113f3f62337d756e6915044
HTA 85767416f8d1e73833ccaa193263d1198857308b3a1185e6f4ebc4164db8584f
HTA f1aa14ebfd2da477edba94b34f09f775485688b5958d82fcb072a837e27e246b
HTA c477bdfae91e3df9be29e9eeba785467aff294f5250c2eed406765032cb68756
HTA 6e6bd2f7566ffa52d52fa9d5f048bbb9246d3d50110c6b0c248919ad796c6fd4
HTA 4540c3af3b1d8c52256f4580dd4d002fadb8c5ff4e32e6a41fdf508455c5b697
HTA 92a1428e125f33de012c7f52fb0827be3d7e90e38a0e38083181f8c3312adc9c
HTA e57409c5e1f8287900c1c3b3e8c099cef537a02949315eb768c88906b0c65add
HTA 5a76669ec410d0b3e21112a4a6fd3207976b299ee27c5fc3d42f2673170ab95e
HTA 8092b9de455463296898fcaf8c9955d1c00dae6812c03bba019edf9c059ece33
HTA 99fcabf7c996d6ec077ccd745a158a3a395403d6a3df9d8da179f3cd5faf81b1
HTA 875e8d4137e1016b4be869e36e00a9414e89902fd5592a2fb881ebb0e4bd2f8b
HTA bd724bbb27f9a71fd44f1c334b003541761071655fa585b64eed3bd78fc28e01
HTA a42daeca71a6bdc79fd66b8b6ee413562abf7f72ef093292c86c1e9e7c2be456
HTA 7e04e86c07213fed7bebccd9953818b102b1b25b78e5f3707e81bad5054cf4e8
HTA 6547736c31dabb5bef2a290b32a72bf63b5c42dd2a33b5a6520159b41c43b093
HTA 51503ce1373c7fa72a1da5c5c4b30f88c8224686669ba4b64196591414fdc64c
HTA 5b3c2442831d4844ea6b86942f1a0ba27170018382cbc362343db63717d0ff02
HTA 71dea06c2271a46fc2fd6092e2ba0c2f5a2cf5ca8f955ee3375e3ca66a5dc52b
AutoIt script fc820eeb054c781693eca78fed1c418f12b27da2c7c7e73281eb07b25cc7d910
AutoIt script f76d09cbd455ce18765591b9efa3bde0d31358b6321f7a10fc2e04f65d7407ba
Casbaneiro payload 7de637539159dc17ceedb0aae783930ee68639b6d8036ef8147027c5ebca3fc8

Source: Fortinet’s published file indicators.

Network Indicators

Fortinet provides the following domains and IP addresses, noting that specific roles (e.g., delivery, data theft, C2) are not assigned to each entry individually in their analysis.

Type Indicator
Domain 128[.]200[.]178[.]68[.]host[.]secureserver[.]net
Domain 13[.]189[.]202[.]64[.]host[.]secureserver[.]net
Domain 116[.]181[.]62[.]50[.]host[.]secureserver[.]net
Domain 48[.]178[.]169[.]192[.]host[.]secureserver[.]net
Domain 115[.]201[.]178[.]68[.]host[.]secureserver[.]net
Domain 181[.]202[.]178[.]68[.]host[.]secureserver[.]net
Domain 135[.]201[.]178[.]68[.]host[.]secureserver[.]net
Domain 85[.]182[.]62[.]50[.]host[.]secureserver[.]net
Domain 162[.]201[.]178[.]68[.]host[.]secureserver[.]net
Domain 129[.]202[.]178[.]68[.]host[.]secureserver[.]net
Domain 76[.]180[.]62[.]50[.]host[.]secureserver[.]net
Domain gexwalltool[.]com
Domain x-wolverine[.]servebbs[.]com
IP address 72[.]167[.]48[.]63
IP address 209[.]99[.]188[.]28

Source: Fortinet’s published network indicators.

Cryptocurrency Addresses

Type Address
Cryptocurrency address 0xb4c12078448fdef1f8881a55aab5c81fa194095c
Cryptocurrency address bc1q7jt45630rw346729vk5cuatvfyvhfv0330u2p6

Source: Fortinet’s published cryptocurrency indicators.

Host Artifacts and Detection Names

The following artifacts were identified in Fortinet’s technical analysis. Note that placeholder values will vary across infected systems, and legitimate Windows process names are only indicative of suspicious behavior when observed in conjunction with other anomalous activity.

Artifact Value or location Purpose or relevance
Download directory C:{random name} Stores the downloaded components
Compressed file suffix crT Helps the AutoIt loader locate the compressed payload
Startup shortcut LNK file in the Windows Startup folder Runs the AutoIt script through its interpreter
Infection marker folder %PUBLIC%{ComputerName}@4{UserName} Prevents repeated execution or reinfection
Mutex GlobolID-4465173{Username}

Disclaimer: HackersRadar reports on cybersecurity threats and incidents for informational and awareness purposes only. We do not engage in hacking activities, data exfiltration, or the hosting or distribution of stolen or leaked information. All content is based on publicly available sources.

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Jennifer sherman

Jennifer sherman

Jennifer is a cybersecurity news reporter covering data breaches, ransomware campaigns, and dark web markets. With a background in incident response, Jennifer provides unique insights into how organizations respond to cyber attacks and the evolving tactics of threat actors. Her reporting has covered major breaches affecting millions of users and has helped organizations understand emerging threats. Jennifer combines technical knowledge with investigative journalism to deliver in-depth coverage of cybersecurity incidents.

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