Incident Score: Analysis & Impact (CAL1773182085)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Cal AI's Breach and lateral movement inside company's environment.
- Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
- How Rankiteo’s incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts Cal AI Rankiteo cyber scoring and cyber rating.
- Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the Cal AI breach identified under incident ID CAL1773182085.
The analysis begins with a detailed overview of Cal AI's information like the linkedin page: https://www.linkedin.com/company/cal-ai-app, the number of followers: 0, the industry type: Technology, Information and Internet and the number of employees: 52 employees
After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 830 and after the incident was 768 with a difference of -62 which is could be a good indicator of the severity and impact of the incident.
In the next step of the video, we will analyze in more details the incident and the impact it had on Cal AI and their customers.
On 09 March 2026, Cal AI disclosed Data Breach issues under the banner "Hacker Claims Breach of Cal AI, Exposing 3 Million Users’ Data".
A hacker operating under the alias *vibecodelegend* has claimed responsibility for breaching Cal AI, a popular AI-driven smartphone app that tracks calories and nutrition through food image analysis.
The disruption is felt across the environment, and exposing 12 GB of personal data, with nearly 3 million records at risk.
Formal response steps have not been shared publicly yet.
The case underscores how Ongoing.
Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.
The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.
MITRE ATT&CK® Correlation Analysis
Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating breaching Cal AI, a popular AI-driven smartphone app and Valid Accounts (T1078) with moderate confidence (50%), supported by evidence indicating pIN codes and subscription information compromised. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate to high confidence (70%), supported by evidence indicating pIN codes and subscription information compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 12 GB of personal data...including meal logs, calorie tracking and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating names, dates of birth, genders, usernames, social media profiles. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data breach impacting 3 million users, 12 GB of personal data and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating leaked data circulating on Russian-speaking platforms and Telegram. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no official confirmation of breach or data integrity and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating behavioral data (meal logs, eating habits) exposed. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Cal AI Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/cal-ai-app/incident/CAL1773182085
- Cal AI CyberSecurity Rating page: https://www.rankiteo.com/company/cal-ai-app
- Cal AI Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/cal1773182085-myfitnesspal-breach-march-2026/
- Cal AI CyberSecurity Score History: https://www.rankiteo.com/company/cal-ai-app/history
- Cal AI CyberSecurity Incident Source: https://hackread.com/cal-ai-myfitnesspal-data-breach-3m-users/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf