Everest Ransomware Claims 900 GB Data Theft from Nissan

Everest Ransomware Group Alleges Major Breach at Nissan, Claims 900 GB of Corporate Data Exfiltrated

HIGH
January 11, 2026
6m read
RansomwareData BreachCyberattack

Impact Scope

Affected Companies

Nissan Motor Co., Ltd.

Industries Affected

Manufacturing

Related Entities

Threat Actors

Full Report

Executive Summary

The Everest cybercrime group has publicly claimed responsibility for a major cyberattack on the Japanese automaker Nissan Motor Co., Ltd.. The claim, posted on the group's dark web leak site on January 10, 2026, states that approximately 900 GB of sensitive data was exfiltrated from Nissan's network. The group provided screenshots as purported evidence, showing file and directory names that suggest the compromised data includes dealership information, financial records, and audit reports. Operating a Ransomware-as-a-Service (RaaS) model, Everest is using this claim to extort Nissan, threatening to leak the data within five days if their demands are not met. The incident, while unconfirmed by Nissan, highlights the persistent threat of double-extortion ransomware to major global corporations in the manufacturing sector.

Threat Overview

Everest is a known ransomware group that engages in double extortion. Their primary motivation is financial gain. The attack on Nissan follows a typical pattern for such groups: infiltrate the network, move laterally to gain access to valuable data, exfiltrate the data, and then, in many cases, deploy ransomware to encrypt systems. The public claim on their leak site is a key part of their playbook, designed to pressure the victim into paying the ransom by creating reputational damage and the threat of releasing sensitive business information. The 900 GB data volume, if accurate, represents a massive compromise of corporate intelligence.

Technical Analysis

The screenshots provided by Everest suggest they gained deep access into Nissan's corporate network. The file names (.csv, .xls, .txt) and directory structures (dealership, finance, audit) indicate access to structured and unstructured data from core business functions. The attack likely involved the following TTPs:

  1. Initial Access: Ransomware groups like Everest often gain initial access through phishing, exploitation of unpatched public-facing services (like VPNs or RDP), or by purchasing access from initial access brokers.
  2. Privilege Escalation & Lateral Movement: Once inside, the attackers would have used techniques like credential dumping (T1003) and remote services (T1021) to escalate privileges and move across the network to file servers and databases.
  3. Discovery & Collection: The attackers performed extensive discovery to locate valuable data. The specific nature of the folder names shown in the screenshots indicates a targeted effort to find financial and operational data (T1602 - Data from Information Repositories).
  4. Exfiltration: The 900 GB of data would have been compressed and exfiltrated over a period of time to attacker-controlled infrastructure, likely using encrypted protocols to avoid detection (T1567 - Exfiltration Over Web Service).
  5. Impact: While not yet confirmed, the final stage would typically be the deployment of Everest ransomware to encrypt Nissan's systems (T1486 - Data Encrypted for Impact).

Impact Assessment

If the claim is legitimate, the impact on Nissan would be substantial:

  • Financial Loss: A large ransom payment, combined with the costs of incident response, system restoration, and legal fees, would be financially damaging.
  • Business Disruption: Widespread encryption would halt manufacturing, sales, and administrative operations, leading to significant revenue loss.
  • Intellectual Property Theft: The stolen data could include proprietary vehicle designs, manufacturing processes, and future business strategies, which would be highly valuable to competitors.
  • Regulatory Scrutiny: As a global company, Nissan would face investigation and potential fines from data protection authorities worldwide.
  • Reputational Damage: The breach would damage trust among customers, partners, and investors, especially following a separate breach the company disclosed in December 2025.

Detection & Response

Detecting such an attack before the final encryption stage is critical.

Detection Strategies

  • Monitor for Data Staging: Use EDR and FIM tools to detect the creation of large archive files on critical servers, which is a tell-tale sign of data being prepared for exfiltration.
  • Egress Traffic Monitoring: Implement strict egress filtering and monitor for unusually large outbound data transfers, especially to destinations not on an allowlist. A 900 GB transfer should trigger multiple alerts.
  • Active Directory Monitoring: Monitor for anomalous Active Directory activity, such as the creation of new admin accounts, password spraying, or Kerberoasting attacks, which are common precursors to ransomware deployment.

Mitigation

Defending against groups like Everest requires a defense-in-depth strategy.

Immediate Actions

  1. Patch Public-Facing Systems: Ensure all internet-facing systems, including VPNs and firewalls, are fully patched and securely configured. This is a key part of M1051 - Update Software.
  2. Multi-Factor Authentication (MFA): Enforce MFA on all remote access services and for all privileged accounts to prevent credential-based attacks. This aligns with M1032 - Multi-factor Authentication.

Strategic Recommendations

  • Immutable Backups: Maintain logically and physically isolated backups of all critical systems. The '3-2-1' rule (3 copies, 2 different media, 1 offsite) is essential.
  • Network Segmentation: Segment the network to limit an attacker's ability to move laterally. Critical manufacturing and R&D networks should be isolated from the general corporate IT network (M1030 - Network Segmentation).
  • Incident Response Plan: Have a well-defined and regularly tested incident response plan that includes playbooks specifically for ransomware attacks.

Timeline of Events

1
January 10, 2026
The Everest group posts its claim of breaching Nissan on its dark web leak site, providing screenshots as proof.
2
January 11, 2026
This article was published
3
January 15, 2026
The five-day deadline set by Everest for Nissan to respond is expected to expire.

MITRE ATT&CK Mitigations

Segmenting the network can contain a ransomware infection and make it more difficult for attackers to access and exfiltrate data from critical repositories.

Mapped D3FEND Techniques:

Enforcing MFA on all remote access points and privileged accounts is a critical defense against initial access and lateral movement.

Mapped D3FEND Techniques:

Audit

M1047enterprise

Comprehensive logging and monitoring of network traffic and file access are essential for detecting the data staging and exfiltration activities common in double-extortion attacks.

Mapped D3FEND Techniques:

D3FEND Defensive Countermeasures

To detect an exfiltration attempt on the scale of 900 GB, Nissan should deploy robust Network Traffic Analysis at all internet egress points. This involves using NetFlow, Zeek, or full packet capture to baseline normal traffic patterns and volumes. A rule should be configured to trigger a high-severity alert for any single session or cumulative transfer from the internal network to an external destination that exceeds a defined threshold (e.g., 10 GB in an hour). Such a massive transfer is a definitive indicator of a major data theft in progress. Early detection through this method could allow the security team to block the connection and begin incident response before the full dataset is stolen, significantly reducing the leverage of the Everest group.

Implement a File Integrity Monitoring (FIM) or EDR solution to monitor for data staging activities on critical file servers, especially those containing the types of financial and audit data mentioned by Everest. Configure detection rules to look for the rapid creation of large compressed files (e.g., .zip, .rar, .7z) by user or system accounts. This activity is a classic precursor to data exfiltration. An alert on a process like 7z.exe creating a multi-gigabyte archive on a finance server is a high-confidence indicator of compromise, allowing security teams to intervene before the data leaves the network.

Sources & References

Everest Cybercrime Group Alleges Successful Breach of Nissan Motors
Cyberpress (cyberpress.com) January 11, 2026
Hacking Group “Everest” Allegedly Claims Nissan Motor Breach
GBHackers on Security (gbhackers.com) January 12, 2026

Article Author

Jason Gomes

Jason Gomes

• Cybersecurity Practitioner

Cybersecurity professional with over 10 years of specialized experience in security operations, threat intelligence, incident response, and security automation. Expertise spans SOAR/XSOAR orchestration, threat intelligence platforms, SIEM/UEBA analytics, and building cyber fusion centers. Background includes technical enablement, solution architecture for enterprise and government clients, and implementing security automation workflows across IR, TIP, and SOC use cases.

Threat Intelligence & AnalysisSecurity Orchestration (SOAR/XSOAR)Incident Response & Digital ForensicsSecurity Operations Center (SOC)SIEM & Security AnalyticsCyber Fusion & Threat SharingSecurity Automation & IntegrationManaged Detection & Response (MDR)

Tags

RaaSAutomotiveData ExfiltrationDark WebJapanManufacturing

📢 Share This Article

Help others stay informed about cybersecurity threats

Continue Reading