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AmpUp Breach Incident Score: Analysis & Impact (AMP1766541276)

The Rankiteo video explains how the company AmpUp has been impacted by a Breach on the date October 25, 2025.

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Incident Summary

Rankiteo Incident Impact
-64
Company Score Before Incident
751 / 1000
Company Score After Incident
687 / 1000
Company Link
Incident ID
AMP1766541276
Type of Cyber Incident
Breach
Primary Vector
API Key Compromise
Data Exposed
Names and other personal identifiers
First Detected by Rankiteo
October 25, 2025
Last Updated Score
November 30, 2025

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Key Highlights From This Incident Analysis

  • Timeline of AmpUp'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 Rankiteoโ€™s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts AmpUp Rankiteo cyber scoring and cyber rating.
  • Rankiteoโ€™s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
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Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the AmpUp breach identified under incident ID AMP1766541276.

The analysis begins with a detailed overview of AmpUp's information like the linkedin page: https://www.linkedin.com/company/ampup-charging, the number of followers: 6131, the industry type: Software Development and the number of employees: 59 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 751 and after the incident was 687 with a difference of -64 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 AmpUp and their customers.

On 23 December 2025, AmpUp, Inc. disclosed Data Breach issues under the banner "AmpUp Stripe API Data Breach".

AmpUp identified unauthorized activity involving its Stripe online payment system.

The disruption is felt across the environment, affecting Stripe online payment system, and exposing Names and other personal identifiers.

In response, and stakeholders are being briefed through Data breach notification.

The case underscores how Ongoing, and recommending next steps like Review account statements and monitor credit reports for suspicious activity, with advisories going out to stakeholders covering Data breach notification with steps to protect personal data.

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.

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 Unsecured Credentials: Cloud Instance Metadata API (T1552.005) with moderate to high confidence (80%), supported by evidence indicating exploited AmpUpโ€™s Stripe API key and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (70%), supported by evidence indicating unauthorized third party used Stripe API key. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with high confidence (90%), supported by evidence indicating exploited AmpUpโ€™s Stripe API key to conduct fraudulent transactions. Under the Collection tactic, the analysis identified Data from Cloud Storage Object (T1213.003) with moderate to high confidence (70%), supported by evidence indicating sensitive personal dataโ€”including names and other identifiersโ€”may have been accessed. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with moderate to high confidence (80%), supported by evidence indicating personal data may have been accessed or exfiltrated. Under the Impact tactic, the analysis identified Financial Theft (T1657) with high confidence (90%), supported by evidence indicating conduct fraudulent financial transactions. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.