The Everest ransomware group has publicly claimed a major cyberattack against American automotive giant Chrysler. On December 25, 2025, the threat actors posted on their dark web leak site, asserting they had stolen 1,088 GB (over 1 TB) of sensitive corporate data. The allegedly exfiltrated data includes a comprehensive database related to company operations from 2021-2025 and a substantial 105 GB of Salesforce data. This incident, if confirmed, is a classic double-extortion attack, where the attackers threaten to publicly release the stolen data to pressure the victim into paying a ransom. Chrysler has not yet issued a statement on the matter.
T1490 - Inhibit System Recovery by adding public pressure. The attack was timed around a holiday, a strategy to exploit reduced security staffing.While Chrysler has not confirmed the breach, the claims made by Everest provide insight into the potential scope and TTPs. Stealing over 1 TB of data, including structured Salesforce data and operational databases, is a significant undertaking that implies prolonged and deep access to the corporate network.
Likely Attacker TTPs:
T1190) or using stolen credentials (T1078).T1046 - Network Service Discovery) to locate high-value data repositories like database servers and cloud service connections.T1530 - Data from Cloud Storage Object or compromising an API integration. The "full database" was likely collected via T1213 - Data from Information Repositories.T1567.002 - Exfiltration to Cloud Storage is a common method for exfiltrating large volumes of data, as it can be difficult to distinguish from legitimate business traffic.T1486 - Data Encrypted for Impact, although the primary threat in this claim is the data leak.If Everest's claims are true, the impact on Chrysler would be high. The public release of over 1 TB of operational and customer data could be devastating, leading to:
Detection Strategies:
Response:
Strategic Recommendations:
Use DLP and network traffic analysis to detect and block large-scale data exfiltration attempts at network egress points.
Encrypting sensitive customer and operational data at rest can render it useless to attackers even if it is stolen.
Mapped D3FEND Techniques:
To detect an exfiltration event like the one claimed against Chrysler, deploying User Data Transfer Analysis is key. Security teams should use a CASB or DLP solution to monitor and baseline data access patterns for cloud platforms like Salesforce. The system should be configured to alert on any user or service account downloading an anomalous volume of data, such as 105 GB of records. By establishing a normal range of data transfer for each role, the security team can quickly identify and respond to an account that is being used to siphon off the entire customer database, blocking the exfiltration in progress.
In a large network like Chrysler's, deception technology can provide high-fidelity alerts. Security teams can create decoy database files, fake Salesforce API keys, or honeypot database servers. These decoy objects should be named enticingly (e.g., PROD_customer_database_backup.sql, salesforce_api_admin_key.txt) and placed in locations where a real user would not access them. Any interaction with these decoys is a strong indicator of an attacker performing reconnaissance. This would provide an early warning of Everest's presence, allowing defenders to evict them before they reach and exfiltrate terabytes of real data.
While not a preventative measure, strong at-rest encryption is a critical safeguard. For the data claimed stolen from Chrysler, if the operational databases and Salesforce backups were encrypted with keys managed in a separate, secure Hardware Security Module (HSM), the stolen data would be worthless to the Everest group. This significantly devalues the data for extortion purposes. Implementing transparent data encryption (TDE) for databases and application-level encryption for sensitive fields ensures that even a full database dump does not result in a catastrophic data leak.

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.
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