Trust Incident Yahoo

Trust Incident Yahoo



Case Author


Claude 3.5 Sonnet, Anthropic, ChatGPT o1 for model constructs and cues, peer-reviewed by DeepThink (R1) based on ChatGPT4, Open AI.



Date Of Creation


15.02.2025



Incident Summary


Yahoo experienced two massive data breaches in 2013-2014, initially disclosed in 2016, affecting 3 billion user accounts worldwide. The breaches compromised user names, email addresses, phone numbers, dates of birth, hashed passwords, and security questions/answers.



Ai Case Flag


AI



Name Of The Affected Entity


Yahoo



Brand Evaluation


5



Industry


Technology & Social Media



Year Of Incident


2013



Key Trigger


Discovery and public disclosure in 2016 of two major data breaches from 2013-2014, affecting all Yahoo user accounts



Detailed Description Of What Happened


The incident became public on September 22, 2016, when Yahoo disclosed a 2014 breach affecting 500 million accounts. In December 2016, Yahoo revealed a separate 2013 breach affecting 1 billion accounts. The scale was later revised to 3 billion accounts – every Yahoo account that existed at the time. The breaches compromised user credentials and personal information, leading to a $117.5 million settlement and significant impact on Yahoo sale to Verizon.



Primary Trust Violation Type


Competence-Based



Secondary Trust Violation Type


Integrity-Based



Analytics Ai Failure Type


Privacy



Ai Risk Affected By The Incident


Privacy and Data Protection Risk



Capability Reputation Evaluation


3



Capability Reputation Rationales


Prior to the incident, Yahoo was already struggling with declining market position but maintained large user base. Security practices were later revealed to be below industry standards, with inadequate investment in security infrastructure. Addendum: Despite declining market share, Yahoo maintained a large user base and email infrastructure. However, security practices lagged behind competitors like Google, with outdated encryption and poor breach detection systems.



Character Reputation Evaluation


1



Character Reputation Rationales


Yahoo delayed disclosure (2-3 years) and initial underreporting of affected accounts demonstrated severe ethical failures in transparency and user protection. The company response showed prioritization of corporate interests over user security.



Reputation Financial Damage


The breach resulted in a $350 million reduction in Verizon acquisition price, $117.5 million settlement, significant user exodus, and lasting reputation damage. The incident became a landmark case in data breach implications. Addendum: Stock price dropped 3% post-disclosure.



Severity Of Incident


5



Company Immediate Action


Yahoo initially disclosed a smaller breach, implemented password resets, enhanced security measures, and established a breach response team. However, full disclosure was significantly delayed. Addendum: Yahoo hired external cybersecurity firms post-disclosure.



Response Effectiveness


The response was largely ineffective due to delayed disclosure, incomplete initial reporting, and inadequate compensation for affected users. The incident significantly impacted Yahoo acquisition by Verizon and user trust. Addendum: Delayed action worsened stakeholder trust; users migrated to competitors like Gmail.



Model L1 Elements Affected By Incident


Reciprocity, Brand, Social Adaptor, Social Protector



Reciprocity Model L2 Cues


Accountability & Liability, Error & Breach Handling



Brand Model L2 Cues


Brand Image & Reputation



Social Adaptor Model L2 Cues


Data Security & Secure Storage, Compliance & Regulatory Features



Social Protector Model L2 Cues


Media Coverage & Press Mentions



Response Strategy Chosen


Reparations & Corrective Action, Apology



Mitigation Strategy


Yahoo response combined technical fixes with delayed acknowledgment and incomplete disclosure. The company eventually offered financial compensation through settlement but faced criticism for inadequate initial response and transparency. Addendum: Yahoo offered free credit monitoring post-settlement.



Model L1 Elements Of Choice For Mitigation


Reciprocity, Social Adaptor



L2 Cues Used For Mitigation


Accountability & Liability, Data Security & Secure Storage



Further References


https://www.reuters.com/article/us-yahoo-cyber-idUSKBN1CF2JR, https://www.sec.gov/news/press-release/2018-71, https://www.ftc.gov/news-events/news/press-releases/2019/04/ftc-approves-settlement-yahoo-now-known-altaba-related-data-breach, https://www.nytimes.com/2017/10/03/technology/yahoo-hack-3-billion-users.html



Curated


1




The Trust Incident Database is a structured repository designed to document and analyze cases where data analytics or AI failures have led to trust breaches.

© 2025, Copyright Glinz & Company



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