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Analyze » Electrum Bitcoin Wallet » ELEEXOLEDTRE1784199019

Incident Score: Analysis & Impact (ELEEXOLEDTRE1784199019)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-13
Company Score Before Incident786 / 1000
Company Score After Incident773 / 1000
INCIDENT NUMBERELEEXOLEDTRE1784199019
Type of Cyber IncidentCyber Attack
ATTACK VECTORSocial Engineering, Phishing, Fake Software Updates
DATA EXPOSEDCredentials, Wallet Databases, Session Data,...
INCIDENT DATE31/05/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Electrum Bitcoin Wallet'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 Electrum Bitcoin Wallet 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 Electrum Bitcoin Wallet breach identified under incident ID ELEEXOLEDTRE1784199019.

The analysis begins with a detailed overview of Electrum Bitcoin Wallet's information like the linkedin page: https://www.linkedin.com/company/electrum-bitcoin-wallet, the number of followers: 0, the industry type: IT Services and IT Consulting and the number of employees: 2 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 786 and after the incident was 773 with a difference of -13 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 Electrum Bitcoin Wallet and their customers.

A newly reported cybersecurity incident, "New macOS Infostealer Targets Cryptocurrency Wallets with Offline Attack Chain", has drawn attention.

Security researchers at SlowMist have uncovered a sophisticated macOS-focused infostealer designed to harvest credentials, wallet databases, and session data for offline cryptocurrency theft.

The disruption is felt across the environment, affecting macOS, and exposing Credentials, Wallet Databases and Session Data.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing, teams are taking away lessons such as Infostealers exploit the interplay between credentials, encrypted local stores, and user trust. Pairing stolen wallet databases with Keychain secrets and reused passwords creates a portable target for offline decryption. Users should avoid reusing passwords and enable multi-factor authentication where possible, and recommending next steps like Avoid reusing passwords across services, Enable multi-factor authentication for all accounts and Regularly monitor wallet and account activity.

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 Phishing (T1566) with high confidence (90%), supported by evidence indicating fake Google API Connector update prompt to capture macOS password and Phishing: Spearphishing Link (T1566.002) with moderate to high confidence (80%), supported by evidence indicating phishing pages disguised as legitimate wallet applications (Ledger Live, Trezor Suite). Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating malware designed to harvest credentials, wallet databases, and session data. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with high confidence (95%), supported by evidence indicating extracts sensitive information from Apple Keychain, Safari and Chromium browsers, Credentials from Password Stores: Keychain (T1555.001) with high confidence (90%), supported by evidence indicating targets Chrome Safe Storage secrets from Keychain to decrypt browser logins, and Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating harvests wallet databases and potential unlocking material (passwords). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), supported by evidence indicating extracts wallet databases, Apple Notes, Telegram `tdata` directory, Automated Collection (T1119) with moderate to high confidence (80%), supported by evidence indicating malware casts a wide net, extracting data from multiple applications, and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating targets Safari and Chromium browsers for stored data. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating pairs stolen wallet databases with Keychain secrets for offline decryption. Under the Defense Evasion tactic, the analysis identified Masquerading (T1036) with moderate to high confidence (80%), supported by evidence indicating fake Google API Connector update prompt and phishing pages as legitimate apps and Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate to high confidence (70%), supported by evidence indicating malware may hide artifacts during data extraction (e.g., `tdata` directory). Under the Lateral Movement tactic, the analysis identified Use Alternate Authentication Material: Web Session Cookie (T1550.004) with moderate to high confidence (80%), supported by evidence indicating hijacks Telegram sessions by copying `tdata` directory for active access. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate confidence (50%), supported by evidence indicating wallet databases are locally encrypted, but paired with stolen credentials and Financial Theft (T1657) with high confidence (95%), supported by evidence indicating offline cryptocurrency theft via decrypted wallet data and recovery phrases. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing (90%)
Phishing: Spearphishing Link (80%)
Execution
User Execution: Malicious File (80%)
Credential Access
Credentials from Password Stores (95%)
Credentials from Password Stores: Keychain (90%)
Unsecured Credentials: Credentials In Files (80%)
Collection
Data from Local System (95%)
Automated Collection (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Defense Evasion
Masquerading (80%)
Hide Artifacts: Hidden Files and Directories (70%)
Lateral Movement
Use Alternate Authentication Material: Web Session Cookie (80%)
Impact
Data Encrypted for Impact (50%)
Financial Theft (95%)

Sources & References