Zynga faced class-action lawsuits in 2020 alleging negligence for using the weakened SHA-1 hashing algorithm.
The Zynga data breach involved the unauthorized access of user data, including email addresses, passwords, and other sensitive information. According to reports, the breach occurred when hackers gained access to Zynga's database, which contained sensitive user information. The stolen data included:
In 2019, Zynga, the company behind popular mobile games like FarmVille and Words with Friends, suffered a significant data breach. The breach occurred when hackers gained unauthorized access to Zynga's database, compromising sensitive user information. The stolen data included usernames, email addresses, and passwords for millions of Zynga users. zynga data breach download high quality
The hacker accessed a player database containing the following data types: Names, email addresses, and usernames.
In a small minority of cases, phone numbers linked to accounts were exposed. The stolen data included: In 2019, Zynga, the
: Facebook IDs and Zynga account IDs were also retrieved.
Beyond the legal and technical dangers, downloading this data is an invasion of privacy affecting nearly 200 million individuals. Using such a dataset could contribute to identity theft, spam campaigns, or harassment of the victims whose personal information was stolen. The hacker accessed a player database containing the
: The hacker reportedly exploited a web-application flaw to gain remote code execution and exfiltrate user tables. Security Risk
While Zynga stated that financial information was not compromised, the high-quality data sets circulating on the dark web included: Account usernames and IDs. Email addresses linked to the accounts. Login credentials. Hashed passwords (using SHA-1 with salting). Phone numbers (for a subset of users). Facebook IDs (if the accounts were linked). The Risks of Searching for the Download
When individuals search for data breach downloads or look for high-quality database leaks, cybercriminals are usually looking to weaponize the data through an automated attack method known as .