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Analyze » OpenZeppelin » OPECOI1779524630

Incident Score: Analysis & Impact (OPECOI1779524630)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-87
Company Score Before Incident752 / 1000
Company Score After Incident665 / 1000
INCIDENT NUMBEROPECOI1779524630
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDCustomer data
INCIDENT DATE31/12/2023
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of OpenZeppelin'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 OpenZeppelin 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 OpenZeppelin breach identified under incident ID OPECOI1779524630.

The analysis begins with a detailed overview of OpenZeppelin's information like the linkedin page: https://www.linkedin.com/company/openzeppelin, the number of followers: 15296, the industry type: Software Development and the number of employees: 121 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 752 and after the incident was 665 with a difference of -87 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 OpenZeppelin and their customers.

Coinbase recently reported "Coinbase Data Breach and Cross-Chain Security Adoption", a noteworthy cybersecurity incident.

Coinbase disclosed a 2024 data breach impacting approximately 70,000 customers.

The disruption is felt across the environment, and exposing Customer data, with nearly 70000 records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how teams are taking away lessons such as Growing industry efforts to enhance cross-chain security amid increasing threats to decentralized finance (DeFi) and asset transfer systems, and recommending next steps like Adoption of Chainlink’s CCIP to improve cross-chain security.

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 (50%), supported by evidence indicating kelpDAO bridge exploit highlighted vulnerabilities in cross-chain infrastructure and Trusted Relationship (T1199) with lower confidence (40%), supported by evidence indicating coinbase data breach impacting ~70,000 customers (no further details). Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate confidence (60%), supported by evidence indicating cross-chain infrastructure vulnerabilities (KelpDAO exploit). Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating customer data compromised in Coinbase breach (~70,000 records). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating data breach impacting ~70,000 customers (no exfiltration details) and Exfiltration Over Alternative Protocol (T1048) with moderate confidence (50%), supported by evidence indicating cross-chain vulnerabilities (KelpDAO exploit). Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on breach scope or response and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating cross-chain vulnerabilities (KelpDAO exploit). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (50%)
Trusted Relationship (40%)
Credential Access
Steal Application Access Token (60%)
Collection
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (60%)
Exfiltration Over Alternative Protocol (50%)
Impact
Data Destruction (30%)
Data Manipulation: Stored Data Manipulation (40%)