https://securityblueprints.io/tags/credential-stuffing/ Recent content in Credential Stuffing on Security Blueprints Hugo en user@example.com (Niels Provos) user@example.com (Niels Provos) Security Blueprints, LLC Sun, 06 Sep 2026 23:57:44 +0000 https://securityblueprints.io/data-breaches/u-haul-data-breach/ Tue, 05 Dec 2023 00:00:00 +0000user@example.com (Niels Provos) https://securityblueprints.io/data-breaches/u-haul-data-breach/ Executive Summary The U-Haul data breach was publicly disclosed in February 2024, impacting approximately 67,000 customers across the United States and Canada. Initially discovered on December 5, 2023, unauthorized individuals accessed an internal system by exploiting stolen credentials, exposing sensitive personal information, including customer names and driver’s license numbers. Financial information remained unaffected (BleepingComputer ; SecurityWeek ). Severity of the Impact The exposure of personal identifiers poses risks such as identity theft, although the absence of financial data reduction slightly limits potential damage. https://securityblueprints.io/data-breaches/23andme-data-breach/ Fri, 01 Dec 2023 00:00:00 +0000user@example.com (Niels Provos) https://securityblueprints.io/data-breaches/23andme-data-breach/ Executive Summary In December 2023, 23andMe, a leader in consumer genetic testing, disclosed a data breach resulting from credential stuffing attacks, compromising the personal data of approximately 6.9 million users. This type of attack utilized stolen credentials from unrelated data breaches, impacting user accounts by exploiting weak password practices. Key Dates Breach Discovery: Initial indications arose on October 4, 2023, with public acknowledgment on October 6, 2023. Formal Disclosure: Comprehensive disclosure of the breach’s details occurred in December 2023. https://securityblueprints.io/data-breaches/chick-fil-a-data-breach-march-2023/ Wed, 01 Mar 2023 00:00:00 +0000user@example.com (Niels Provos) https://securityblueprints.io/data-breaches/chick-fil-a-data-breach-march-2023/ Executive Summary In March 2023, Chick-fil-A confirmed a data breach resulting from unauthorized login activity via a credential stuffing attack. This attack, utilizing previously leaked credentials, enabled access to customer accounts through Chick-fil-A’s mobile application (TechRadar ). Breach Details Unauthorized access occurred between December 18, 2022, to February 12, 2023, impacting approximately 71,473 accounts (less than 2% of users). The exposed information included names, email addresses, Chick-fil-A One membership details, and partial payment information (ClassAction. https://securityblueprints.io/data-breaches/norton-life-lock-credential-stuffing-data-breach/ Fri, 13 Jan 2023 00:00:00 +0000user@example.com (Niels Provos) https://securityblueprints.io/data-breaches/norton-life-lock-credential-stuffing-data-breach/ Executive Summary In January 2023, Norton LifeLock reported a data breach due to a credential stuffing attack, allowing attackers to exploit previously compromised passwords to access over 6,000 customer accounts. The incident highlighted vulnerabilities within password management services, raising concerns about the security of stored credentials [source1 ]. Severity of Impact The breach exposed personal data, including names, phone numbers, and mailing addresses, and potentially compromised credentials stored in the Norton Password Manager. https://securityblueprints.io/data-breaches/twitter-2020-data-breach-incident/ Wed, 15 Jul 2020 00:00:00 +0000user@example.com (Niels Provos) https://securityblueprints.io/data-breaches/twitter-2020-data-breach-incident/ Executive Summary In July 2020, a critical cybersecurity breach, termed the Twitter 2020 Data Breach, occurred, wherein a 17-year-old hacker, Graham Ivan Clark, along with accomplices, exploited vulnerabilities in Twitter’s security infrastructure. They gained unauthorized access to Twitter’s internal network, commandeering numerous high-profile accounts to disseminate a Bitcoin scam. Key Dates Breach Occurrence: July 15, 2020 Public Disclosure: July 15, 2020 Severity of Impact The breach affected highly influential accounts such as those of Barack Obama and Elon Musk, resulting in fraudulent tweets promoting a Bitcoin scam. https://securityblueprints.io/data-breaches/norsk-hydro-ransomware-attack/ Tue, 19 Mar 2019 00:00:00 +0000user@example.com (Niels Provos) https://securityblueprints.io/data-breaches/norsk-hydro-ransomware-attack/ Executive Summary In March 2019, Norsk Hydro, a significant global aluminum producer, encountered a ransomware attack via the LockerGoga malware. This attack caused substantial disruptions across 160 locations, impacting over 20,000 systems worldwide, and forced the company to shift to manual operations (source ). Key Dates Discovery and Disclosure Date: March 19, 2019 Severity of Impact The attack resulted in significant financial repercussions, with initial losses estimated at $40 million USD within the first week, subsequently summing to over 350 million Norwegian krone (source ). https://securityblueprints.io/data-breaches/2016-uber-data-breach/ Mon, 14 Nov 2016 00:00:00 +0000user@example.com (Niels Provos) https://securityblueprints.io/data-breaches/2016-uber-data-breach/ Executive Summary On November 14, 2016, a data breach exposed records of approximately 57 million Uber users and 600,000 driver license numbers. The breach occurred when hackers exploited Uber’s systems by using stolen credentials to access its GitHub repository, subsequently gaining entry into an AWS S3 bucket containing sensitive user data such as names, email addresses, and phone numbers. For further details, refer to this source . Key Events November 14, 2016: Attackers demanded a ransom for stolen data deletion. https://securityblueprints.io/data-breaches/jpmorgan-chase-data-breach/ Sun, 01 Jun 2014 00:00:00 +0000user@example.com (Niels Provos) https://securityblueprints.io/data-breaches/jpmorgan-chase-data-breach/ Executive Summary In June 2014, JPMorgan Chase became the target of a significant data breach, compromising data from over 76 million households and 7 million small businesses. The breach, discovered in July and publicly disclosed in September 2014, highlighted substantial deficiencies in the bank’s cybersecurity framework (source ). Severity of Impact Approximately 83 million accounts were affected, with exposed data including names, addresses, phone numbers, and email addresses. However, no financial data or Social Security numbers were compromised, reducing the risk of direct financial fraud, yet increasing chances for phishing and identity theft (source ). https://securityblueprints.io/data-breaches/ebay-data-breach-analysis/ Fri, 28 Feb 2014 00:00:00 +0000user@example.com (Niels Provos) https://securityblueprints.io/data-breaches/ebay-data-breach-analysis/ Executive Summary In early 2014, eBay, a leading online marketplace, experienced a significant data breach, which was publicly disclosed in May 2014. Unauthorized access to approximately 145 million user records occurred due to compromised employee credentials. The breach period spanned late February to early March 2014 (CRN , NY Times ). Severity and Impact The breach is considered extensive, with unauthorized access to records including names, encrypted passwords, email addresses, physical addresses, phone numbers, and birth dates. https://securityblueprints.io/data-breaches/linkedin-password-breach/ Fri, 01 Jun 2012 00:00:00 +0000user@example.com (Niels Provos) https://securityblueprints.io/data-breaches/linkedin-password-breach/ Executive Summary In 2012, LinkedIn experienced a significant data breach affecting its user base. Initially reported to have compromised 6.5 million hashed passwords, the breach’s true extent, revealed in 2016, affected over 117 million accounts. The compromised passwords were stored using the SHA1 hashing algorithm without salting, making them vulnerable to brute force and rainbow table attacks. These inadequacies exposed LinkedIn users to substantial risks as the leaked credentials circulated on cybercrime forums like LeakedSource.