Agrícola Cerro Prieto listed on blackshrantac leak site

• Ransomware group: blackshrantac
• Country: Peru
• Sector: Agriculture and Food Production
• Announcement date: December 23, 2025

Peruvian agricultural company targeted by blackshrantac

The Peru-based agricultural company Agrícola Cerro Prieto has been listed on the leak site of the ransomware group known as blackshrantac. In an announcement posted on December 23, 2025, the threat actor claimed to have exfiltrated a significant amount of data belonging to the organization. This incident follows a common pattern in modern cyberattacks where threat actors use public leak sites to pressure victims by threatening to release sensitive information.

Ransomware groups often employ a tactic known as double extortion. In these scenarios, attackers do not just encrypt an organization's files to disrupt operations; they also steal sensitive data beforehand. The threat of leaking this data on a public platform serves as additional leverage to demand payment. While the specific ransom demand for this incident has not been disclosed, the threat of publication remains a central component of the group's strategy.

Details of the alleged data breach

The threat actor blackshrantac claims to have exfiltrated 250 GB of data from Agrícola Cerro Prieto. According to the group's announcement, the stolen information is highly sensitive and encompasses various aspects of the company's operations, including supply chain details, customer information, and employee data. The group has explicitly threatened to publish the mentioned data if their demands are not met.

The specific types of data allegedly contained in the leak include:

• Supplier agreements
• Customer contact information
• Personal employee data
• Salary details
• Employment contracts
• Bank account details
• Invoices
• Payment records
• Tax documents
• Legal documents

The exposure of such a wide variety of documentation—ranging from financial records like invoices and tax documents to highly personal information like salary details and bank accounts—represents a significant security event for the targeted entity.

About Agrícola Cerro Prieto

Agrícola Cerro Prieto is a large-scale agricultural company based in Peru. The organization specializes in the cultivation, processing, and export of various agricultural products, specifically focusing on items such as avocados, blueberries, and grapes. Given its role in the export market, the company's operations are deeply integrated into international food supply chains.

Potential impact and organizational risks

This alleged data breach may pose significant risks to the company's employees and customers, specifically regarding the potential for identity theft and financial fraud. The sensitivity of the data mentioned, which includes personal employee information and bank account details, could complicate the organization's ability to remain compliant with data protection regulations in Peru.

Furthermore, the exposure of supply chain data may create a vector for secondary attacks against third-party business partners. When an organization's vendor or supplier information is leaked, it provides malicious actors with the necessary intelligence to launch targeted phishing or social engineering campaigns against those partners. This interconnectedness means that a breach in one company can ripple through an entire industry, leading to significant reputational damage and loss of trust.

In such scenarios, organizations typically focus on defensive measures such as implementing robust data encryption, enforcing multi-factor authentication, and maintaining strict access controls to limit the movement of attackers within a network. Monitoring for unauthorized data exfiltration and maintaining comprehensive incident response plans are also critical components of a modern cybersecurity posture. Information regarding the blackshrantac group remains limited, making it difficult to attribute the attack to a specific known entity or to predict their specific motivations beyond the standard extortion model.