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Analyze » Bitrefill » BIT1773771997

Incident Score: Analysis & Impact (BIT1773771997)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-45
Company Score Before Incident772 / 1000
Company Score After Incident727 / 1000
INCIDENT NUMBERBIT1773771997
Type of Cyber IncidentCyber Attack
ATTACK VECTORCompromised employee laptop, Social Engineering, Lateral Movement
DATA EXPOSED18,500 purchase records (email addresses,...
INCIDENT DATE28/02/2026
STATUSOngoing (strong similarities to past Lazarus operations identified)

Key Highlights From The Incident Analysis

  • Timeline of Bitrefill's Cyber Attack 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 Bitrefill 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 Bitrefill breach identified under incident ID BIT1773771997.

The analysis begins with a detailed overview of Bitrefill's information like the linkedin page: https://www.linkedin.com/company/bitrefill, the number of followers: 6372, the industry type: Consumer Services and the number of employees: 66 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 772 and after the incident was 727 with a difference of -45 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 Bitrefill and their customers.

Bitrefill recently reported "Bitrefill Hit by Suspected Lazarus Group Cyberattack", a noteworthy cybersecurity incident.

Crypto e-commerce platform Bitrefill suffered a cyberattack believed to be linked to North Korea’s Lazarus Group, resulting in the exposure of customer data and unauthorized draining of funds.

The disruption is felt across the environment, affecting Internal databases, Cryptocurrency wallets, Vendor channels, and exposing 18,500 purchase records (email addresses, crypto payment details, IP metadata); ~1,000 records with encrypted customer names, with nearly 18,500 (total); ~1,000 (higher-risk) records at risk, plus an estimated financial loss of Undisclosed (funds drained from hot wallets, illicit purchases).

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Services taken offline, Attack contained, and began remediation that includes Restored operations (payments, inventory, user accounts), Covered financial losses from own capital, while recovery efforts such as Systems restored, Enhanced security measures (unspecified) continue, and stakeholders are being briefed through Notified affected users in higher-risk category.

The case underscores how Ongoing (strong similarities to past Lazarus operations identified), teams are taking away lessons such as Growing risk of operational exposure in crypto security, where human access points and internal systems increasingly serve as primary attack vectors. Importance of securing employee endpoints and limiting lateral movement, and recommending next steps like Enhance employee security training, Implement stricter access controls, Monitor for lateral movement, Segment critical systems, Reduce storage of sensitive data internally, with advisories going out to stakeholders covering Notified ~1,000 users in higher-risk category.

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 Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating compromised employee laptop, granting attackers access to internal systems and Supply Chain Compromise: Compromise Software Dependencies and Development Tools (T1195.002) with lower confidence (30%), supported by evidence indicating infected endpoints. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (70%), with evidence including compromised employee laptop, and infected endpoints. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating leveraging employee access to move laterally across systems. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating access to internal systems, including portions of Bitrefill’s database. Under the Defense Evasion tactic, the analysis identified Masquerading (T1036) with moderate confidence (60%), supported by evidence indicating patterns observed in previous digital asset sector breaches and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating leveraging employee access to move laterally. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating compromised employee laptop and Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (60%), supported by evidence indicating access to internal systems, including cryptocurrency wallets. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating running limited queries to assess potential theft and File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating access to portions of Bitrefill’s database. Under the Lateral Movement tactic, the analysis identified Remote Services: Remote Desktop Protocol (T1021.001) with moderate to high confidence (80%), supported by evidence indicating leveraging employee access to move laterally across systems and Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating compromised employee laptop, granting attackers access to internal systems. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating accessed approximately 18,500 purchase records and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating access to portions of Bitrefill’s database. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate confidence (60%), supported by evidence indicating patterns observed in previous Lazarus operations. 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 ~18,500 purchase records and Exfiltration Over Web Service: Exfiltration to Cloud Storage (T1567.002) with moderate confidence (50%), supported by evidence indicating limited queries to assess potential theft. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (40%), supported by evidence indicating encrypted customer names exposed in ~1,000 records and Financial Theft (T1657) with high confidence (90%), supported by evidence indicating unauthorized transactions drained funds from hot wallets. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (90%)
Supply Chain Compromise: Compromise Software Dependencies and Development Tools (30%)
Execution
User Execution: Malicious File (70%)
Persistence
Valid Accounts (80%)
Privilege Escalation
Valid Accounts (80%)
Defense Evasion
Masquerading (60%)
Valid Accounts (70%)
Credential Access
OS Credential Dumping (50%)
Unsecured Credentials: Credentials In Files (60%)
Discovery
Account Discovery (70%)
File and Directory Discovery (70%)
Lateral Movement
Remote Services: Remote Desktop Protocol (80%)
Valid Accounts (90%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Command and Control
Application Layer Protocol: Web Protocols (60%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Exfiltration Over Web Service: Exfiltration to Cloud Storage (50%)
Impact
Data Encrypted for Impact (40%)
Financial Theft (90%)

Sources & References