Incident Score: Analysis & Impact (BLE1775291298)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of BleepingComputer'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 BleepingComputer 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 BleepingComputer breach identified under incident ID BLE1775291298.
The analysis begins with a detailed overview of BleepingComputer's information like the linkedin page: https://www.linkedin.com/company/bleepingcomputer, the number of followers: 66253, the industry type: Computer and Network Security and the number of employees: 14 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 595 and after the incident was 574 with a difference of -21 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 BleepingComputer and their customers.
A newly reported cybersecurity incident, "New Crypto-Stealing Malware Targets Android and iOS Users with Advanced Evasion Tactics", has drawn attention.
Researchers at Kaspersky Lab have uncovered an evolved variant of the SparkCat malware, a sophisticated cryptocurrency stealer targeting both Android and iOS users.
The disruption is felt across the environment, affecting Android and iOS, and exposing Credentials, Crypto-wallet seed phrases and System data.
Formal response steps have not been shared publicly yet.
The case underscores how Ongoing, teams are taking away lessons such as The incident highlights the growing sophistication of cross-platform malware, the use of dead-drop C2 infrastructure, and the targeting of crypto users through social engineering and psychological manipulation, and recommending next steps like Avoid downloading cracked or pirated software, Monitor clipboard activity for unauthorized crypto-wallet address swaps and Use hardware wallets for cryptocurrency storage.
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: Spearphishing Link (T1566.002) with moderate to high confidence (80%), supported by evidence indicating distributed via social engineering, masquerading as cracked tools and Drive-by Compromise (T1189) with moderate confidence (50%), supported by evidence indicating trojanized cracked tools for credential checking. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with high confidence (90%), supported by evidence indicating malware installed via trojanized cracked tools. Under the Persistence tactic, the analysis identified Boot or Logon Autostart Execution: Registry Run Keys / Startup Folder (T1547.001) with moderate confidence (60%), supported by evidence indicating malware likely establishes persistence on infected devices. Under the Privilege Escalation tactic, the analysis identified Abuse Elevation Control Mechanism: Setuid and Setgid (T1548.001) with moderate confidence (50%), supported by evidence indicating malware manipulates user interfaces and system tools. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with high confidence (90%), supported by evidence indicating employs code virtualization and cross-platform programming languages, Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (80%), supported by evidence indicating mimics legitimate traffic using Spotify and Chess.com profiles, and Hide Artifacts: Hidden Window (T1564.003) with moderate to high confidence (70%), supported by evidence indicating malware operates stealthily to avoid detection. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with high confidence (90%), supported by evidence indicating steals credentials from Chromium-based browsers, crypto wallets, email clients, Steal Web Session Cookie (T1539) with moderate to high confidence (70%), supported by evidence indicating targets messengers (Telegram, Discord) and VPN apps, and Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating searches photo galleries for crypto-wallet seed phrases. Under the Discovery tactic, the analysis identified System Information Discovery (T1082) with high confidence (90%), supported by evidence indicating collects system data, running processes, installed apps, File and Directory Discovery (T1083) with moderate to high confidence (80%), supported by evidence indicating scans for keywords in Japanese, Korean, and Chinese, and Process Discovery (T1057) with moderate to high confidence (70%), supported by evidence indicating collects running processes on infected devices. Under the Collection tactic, the analysis identified Screen Capture (T1113) with moderate to high confidence (80%), supported by evidence indicating collects screenshots from infected devices, Data from Local System (T1005) with high confidence (90%), supported by evidence indicating steals credentials, crypto-wallet seed phrases, and system data, and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating targets browser data, messenger data, and VPN app data. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with high confidence (90%), supported by evidence indicating uses dead-drop C2 infrastructure via public profiles, Web Service (T1102) with moderate to high confidence (80%), supported by evidence indicating stores C2 addresses in Chess.com and Spotify profiles, and Data Obfuscation: Protocol Impersonation (T1001.003) with moderate to high confidence (70%), supported by evidence indicating mimics legitimate traffic to evade detection. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration confirmed via C2 infrastructure and Exfiltration Over Web Service: Exfiltration to Cloud Storage (T1567.002) with moderate confidence (60%), supported by evidence indicating potential exfiltration via public profiles or cloud services. Under the Impact tactic, the analysis identified Defacement: Internal Defacement (T1491.001) with moderate to high confidence (70%), supported by evidence indicating manipulates user interfaces (rotating screens, jittering cursors), Data Encrypted for Impact (T1486) with lower confidence (40%), supported by evidence indicating potential encryption of crypto-wallet data for ransom, and Data Manipulation: Transmitted Data Manipulation (T1565.002) with moderate to high confidence (80%), supported by evidence indicating swaps crypto-wallet addresses in the clipboard. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- BleepingComputer Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/bleepingcomputer/incident/BLE1775291298
- BleepingComputer CyberSecurity Rating page: https://www.rankiteo.com/company/bleepingcomputer
- BleepingComputer Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/ble1775291298-uranium-finance-cyber-attack-february-2025/
- BleepingComputer CyberSecurity Score History: https://www.rankiteo.com/company/bleepingcomputer/history
- BleepingComputer CyberSecurity Incident Source: https://forklog.com/en/prank-trojan-in-russia-european-commission-data-leak-and-other-cybersecurity-news/
- 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