Infostealer Malware Campaign Dumps 183 Million Credentials Online

Massive "Synthient" Data Dump from RedLine and Vidar Infostealers Exposes 183 Million Credentials

HIGH
October 28, 2025
5m read
Data BreachMalwareThreat Intelligence

Impact Scope

People Affected

183 million unique email accounts

Industries Affected

HealthcareFinanceEnergyGovernmentTechnologyManufacturingRetailEducationTransportationTelecommunications

Related Entities

Full Report

Executive Summary

On October 28, 2025, a massive collection of 183 million unique email credentials, aggregated from infostealer malware logs, was made public and indexed by the Have I Been Pwned breach notification service. This incident, dubbed the "Synthient Stealer Log Threat Data," is not the result of a singular breach against a provider like Google, but rather the culmination of long-term data harvesting from individual user devices infected with malware such as RedLine and Vidar. The primary threat stems from password reuse, as attackers will leverage this data for widespread credential stuffing attacks against various online services, including corporate networks. Organizations and individuals are strongly advised to enforce password changes and enable multi-factor authentication (MFA) immediately.

Threat Overview

The 3.5-terabyte dataset represents a significant aggregation of credentials stolen over an extended period. The data was harvested using prevalent infostealer malware families, including RedLine and Vidar, which are designed to steal sensitive information stored in web browsers, FTP clients, and other applications on compromised machines. These malware variants are often distributed through phishing campaigns, malicious downloads, or cracked software.

Once a device is infected, the infostealer exfiltrates stored usernames, passwords, cookies, and autofill data to attacker-controlled servers. This stolen data is then compiled and often sold or shared in underground forums. The "Synthient" dump is a large-scale collection of such logs. A notable aspect of this leak is that 16.4 million of the credentials were new to breach-tracking databases, indicating a fresh and ongoing wave of compromises affecting a broad user base globally. Initial reports incorrectly suggested a direct breach of Gmail, but Google has since clarified that its own systems were not compromised.

Technical Analysis

The attack chain relies on the successful deployment of infostealer malware on end-user devices. The primary TTPs involved are:

  • Initial Access: Typically achieved through T1566 - Phishing or T1204.002 - User Execution: Malicious File. Users are tricked into opening malicious attachments or downloading and running executables disguised as legitimate software.
  • Execution: The infostealer payload runs on the victim's machine, often with minimal immediate indicators of compromise.
  • Credential Access: The core function of the malware involves T1555 - Credentials from Password Stores. It targets locally stored credentials in browsers like Chrome, Firefox, and Edge, as well as other applications.
  • Collection: The malware gathers stolen credentials, cookies, system information, and sometimes cryptocurrency wallet data.
  • Exfiltration: The collected data is packaged and sent to a Command and Control (C2) server using T1041 - Exfiltration Over C2 Channel.

The subsequent threat is large-scale T1110.003 - Brute Force: Credential Stuffing, where attackers use automated tools to test the leaked email/password pairs against thousands of websites, hoping to find accounts where the password has been reused.

Impact Assessment

The business impact of this credential dump is substantial. Compromised employee credentials can lead to:

  • Unauthorized Access to Corporate Networks: If an employee reused a personal password for their corporate account, attackers can gain initial access to the organization's network.
  • Business Email Compromise (BEC): Attackers can take over employee email accounts to launch sophisticated phishing and fraud campaigns against partners and customers.
  • Data Breaches: Once inside a network, attackers can escalate privileges and exfiltrate sensitive corporate data.
  • Ransomware Deployment: A compromised account is a common entry point for ransomware attacks. Attackers can use the initial foothold to move laterally and deploy ransomware across the network. For individuals, the impact includes financial loss, identity theft, and loss of access to personal accounts (email, social media, banking).

Cyber Observables for Detection

Security teams should hunt for signs of infostealer activity. These are not explicit IOCs from the articles but generated observables based on common infostealer behavior.

Type Value Description
Process Name *\AppData\Local\Temp\*.exe Infostealers often execute from temporary directories.
Network Traffic Pattern Outbound connections to unknown IPs on ports 80, 443, or custom high ports from non-browser processes. Malware exfiltrating data to C2 servers.
File Path %APPDATA%\..\Local\Google\Chrome\User Data\Default\Login Data Target file for Chrome credential theft. Monitor for unusual process access.
API Call Monitoring CryptUnprotectData Windows API function used by many stealers to decrypt stored credentials. Hooking this function can reveal malicious processes.
Log Source EDR, Sysmon, Proxy Logs Monitor for suspicious process creation (Event ID 1), file access, and network connections.

Detection & Response

D3FEND Technique: Detection should focus on D3-PA - Process Analysis and D3-NTA - Network Traffic Analysis.

  1. Endpoint Detection: Deploy and tune Endpoint Detection and Response (EDR) solutions to detect common infostealer behaviors, such as processes accessing browser credential stores or making suspicious network connections. Create rules to alert on processes like powershell.exe or mshta.exe spawning from office applications and downloading files.
  2. Network Monitoring: Monitor outbound traffic for anomalies. Look for connections to newly registered domains or known malicious IP addresses. Analyze traffic volume, as data exfiltration may cause spikes.
  3. Credential Stuffing Detection: Monitor authentication logs for a high rate of failed login attempts from a single IP address or across multiple accounts. Implement velocity checks and IP-based blocking. Alert on successful logins from unusual geographic locations or immediately following a series of failures.
  4. Threat Hunting: Proactively hunt for files and processes associated with RedLine and Vidar. Search for suspicious scheduled tasks or registry run keys used for persistence.

Mitigation

D3FEND Countermeasure: Key mitigations fall under Hardening, such as D3-SPP - Strong Password Policy and D3-MFA - Multi-factor Authentication.

  • Enforce Multi-Factor Authentication (MFA): This is the single most effective control against credential stuffing. Prioritize MFA deployment on all external-facing services, administrative interfaces, and critical applications.
  • User Training: Educate users on the dangers of password reuse and phishing. Conduct regular phishing simulations to reinforce training.
  • Password Policies: Enforce the use of strong, unique passwords for every service. Promote the use of password managers to make this feasible for users.
  • Endpoint Security: Use a modern antivirus and EDR solution to detect and block known infostealer malware.
  • Web Filtering: Block access to known malicious websites and C2 domains to prevent malware downloads and data exfiltration.

Timeline of Events

1
October 28, 2025
Reports emerge of a massive 3.5TB data dump containing 183 million credentials, which is indexed by Have I Been Pwned.
2
October 28, 2025
This article was published

MITRE ATT&CK Mitigations

The most effective defense against credential stuffing attacks, as a compromised password alone is not enough to grant access.

Mapped D3FEND Techniques:

Educate users to recognize and avoid phishing attempts, which are the primary delivery mechanism for infostealer malware.

Enforce strong, unique passwords and discourage password reuse to limit the impact of a credential leak from one service affecting others.

Mapped D3FEND Techniques:

Use endpoint protection to detect and block known infostealer malware like RedLine and Vidar before they can execute and steal data.

Mapped D3FEND Techniques:

Use web filters and outbound traffic filtering to block connections to known malicious domains and C2 servers, preventing data exfiltration.

Mapped D3FEND Techniques:

Sources & References

2025 Data Leak: 183 Million Emails & Gmail Passwords Exposed
Cerebra.sa (cerebra.sa) October 28, 2025
Massive Data Breach Exposes 183 Million Email Credentials
Gadgets360 (gadgets360.com) October 28, 2025
Gmail-Linked Credentials Exposed in Massive Breach
eSecurity Planet (esecurityplanet.com) October 28, 2025
Google denies reports of massive Gmail breach
SC Media (scmagazine.com) October 28, 2025

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

credential stuffinginfostealerpassword reusedata leakcybersecurity

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