New Malware Automatically Send to Contacts via WhatsApp Web Attacks Windows Systems

By Published On: January 9, 2026

A disturbing new strain of malware, dubbed “Boto Cor-de-Rosa,” has surfaced, presenting a significant threat to Windows users, particularly those engaging with WhatsApp Web. This sophisticated campaign leverages the popular messaging platform to automatically ensnare new victims by exploiting contact lists, marking an evolution in how banking malware propagates. As cybersecurity analysts, understanding the mechanics of this threat and implementing robust defenses is paramount.

The Boto Cor-de-Rosa Campaign: A Deep Dive

The “Boto Cor-de-Rosa” campaign is a variant of the established Astaroth banking Trojan. Unlike its predecessors, this iteration has integrated an automated propagation mechanism via WhatsApp Web. This clever social engineering tactic allows the malware to spread with alarming efficiency without direct user interaction beyond the initial compromise.

The primary target of this campaign appears to be users within Brazil, indicating a localized yet highly effective attack strategy. The malware’s modus operandi involves gaining access to a compromised system, then exploiting the WhatsApp Web session to:

  • Harvest the user’s contact list.
  • Automatically send malicious links or files to these contacts, mimicking legitimate communication.

This automated dissemination significantly amplifies the malware’s reach, turning each infected user into an unwitting accomplice in its spread. The Astaroth banking malware, at its core, aims to steal financial credentials and other sensitive information, making its self-propagating nature particularly dangerous.

How Boto Cor-de-Rosa Exploits WhatsApp Web

The effectiveness of Boto Cor-de-Rosa hinges on its ability to leverage the implicit trust associated with established communication channels. When a user is tricked into executing the initial malicious payload – often disguised as a legitimate document or software – the malware establishes a foothold on the Windows system. From there, it targets active WhatsApp Web sessions.

The automation aspect is key. Instead of requiring the attacker to manually send messages from the compromised account, Boto Cor-de-Rosa programmatically interacts with the WhatsApp Web interface. This allows it to:

  • Access and exfiltrate contact information.
  • Compose and send messages to contacts with malicious attachments or links, often tailored to appear innocuous.

This exploitation of WhatsApp Web’s functionality for automated propagation creates a rapid infection chain, making it challenging to contain once it gains traction within a user’s network.

The Astaroth Banking Trojan Reimagined

Astaroth is not a new player in the threat landscape. It’s a sophisticated banking Trojan known for its stealthy techniques and focus on financial data theft. Its evolution into Boto Cor-de-Rosa demonstrates the adaptability of threat actors and their continuous efforts to find new vectors for attack. The integration with a widely used messaging platform like WhatsApp Web illustrates an increased focus on social engineering at scale.

While specific CVEs directly associated with this particular campaign’s WhatsApp Web exploitation method are not yet published, the underlying vulnerabilities often involve classic phishing tactics to deliver the initial payload. Such vulnerabilities are typically categorized under social engineering or drive-by downloads. For more information on general social engineering techniques, refer to resources like CVE-2023-37207 for an example of a similar social engineering vulnerability.

Remediation Actions and Prevention Strategies

Protecting against sophisticated threats like Boto Cor-de-Rosa requires a multi-layered approach, combining user education with robust technical controls.

  • Exercise Extreme Caution with Links and Attachments: Never click on suspicious links or open attachments from unknown or unexpected senders, even if they appear to come from a contact. Verify the authenticity through an alternative communication channel.
  • Keep Software Updated: Ensure your operating system, web browsers, and all installed applications, especially antivirus software, are regularly updated to patch known vulnerabilities.
  • Implement Endpoint Detection and Response (EDR): EDR solutions can help detect and respond to suspicious activity on endpoints, potentially identifying the malware before it causes significant damage.
  • Educate Users on Social Engineering: Conduct regular training sessions to educate users about phishing, malware, and the tactics employed by cybercriminals. Emphasize the dangers of automated messaging and unsolicited files.
  • Regularly Review WhatsApp Web Sessions: Periodically check active WhatsApp Web sessions on your mobile device. Disconnect any unfamiliar or suspicious sessions immediately.
  • Use a Strong Antivirus/Anti-Malware Solution: Ensure a reputable and up-to-date antivirus program is installed and actively scanning your system.

Recommended Security Tools

Tool Name Purpose Link
Endpoint Detection and Response (EDR) Solutions Advanced threat detection and response at the endpoint level. Gartner EDR Overview
Reputable Antivirus Software Signature-based and heuristic detection of known and emerging malware. AV-TEST Antivirus Reviews
Web Application Firewalls (WAF) Protects web applications from a variety of attacks, including those used for initial compromise. Cloudflare WAF

Conclusion

The “Boto Cor-de-Rosa” campaign represents a concerning evolution in banking malware tactics, highlighting the persistent threats posed by integrated social engineering and automated propagation. By exploiting the ubiquitous nature of WhatsApp Web, this Astaroth variant can rapidly spread its malicious intent. For IT professionals and security analysts, the emphasis must be on proactive defense: reinforcing user awareness, deploying robust endpoint security, and maintaining vigilant monitoring of all communication channels. Staying informed and implementing strategic security measures are critical to thwarting such adaptive cyber threats.

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