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Analyze » Binance » BINMEX1787063171

Incident Score: Analysis & Impact (BINMEX1787063171)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-91
Company Score Before Incident371 / 1000
Company Score After Incident280 / 1000
INCIDENT NUMBERBINMEX1787063171
Type of Cyber IncidentCyber Attack
ATTACK VECTORSideloaded apps, Fake government/Google Play pages, Social engineering
DATA EXPOSEDLogin credentials, SMS-based one-time passcodes...
INCIDENT DATE31/05/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Binance'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 Binance 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 Binance breach identified under incident ID BINMEX1787063171.

The analysis begins with a detailed overview of Binance's information like the linkedin page: https://www.linkedin.com/company/binance, the number of followers: 17975, the industry type: Technology, Information and Internet and the number of employees: 14567 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 371 and after the incident was 280 with a difference of -91 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 Binance and their customers.

Trust Wallet recently reported "Octagon Android Malware Emerges as a Potent Account Takeover Tool", a noteworthy cybersecurity incident.

In June 2026, cybersecurity firm iVerify uncovered *Octagon*, a sophisticated Android malware-as-a-service (MaaS) tool designed to facilitate financial fraud by hijacking user accounts.

The disruption is felt across the environment, affecting Android devices, and exposing Login credentials, SMS-based one-time passcodes (OTPs) and Wallet recovery phrases.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing, teams are taking away lessons such as The discovery underscores the growing threat of accessibility-abusing malware, which bypasses traditional security measures by leveraging user-approved permissions, and recommending next steps like Avoid granting excessive permissions to untrusted apps and only download applications from official stores.

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%), with evidence including fake government and Google Play pages, and social engineering and Deliver Malicious App via Other Means (T1476) with high confidence (90%), with evidence including sideloaded apps distributed outside official stores, and disguised as innocuous software. Under the Execution tactic, the analysis identified Obtain Device Access (T1406) with high confidence (90%), supported by evidence indicating exploits Android’s accessibility features to gain deep device control and Remote Access Software (T1623) with moderate to high confidence (80%), supported by evidence indicating windows-based control panel allows attackers to monitor app activity. Under the Persistence tactic, the analysis identified Event Triggered Execution: Accessibility Features (T1624.001) with high confidence (90%), supported by evidence indicating exploits Android’s accessibility features...persisting even when the system reports no threats. Under the Privilege Escalation tactic, the analysis identified Event Triggered Execution: Accessibility Features (T1624.001) with high confidence (90%), supported by evidence indicating exploits Android’s accessibility features to gain deep device control. Under the Defense Evasion tactic, the analysis identified Debugger Evasion (T1622) with moderate to high confidence (70%), supported by evidence indicating evades detection by Google Play Protect and Hijack Execution Flow: Accessibility Features (T1406.001) with moderate to high confidence (80%), supported by evidence indicating exploits Android’s accessibility features...bypasses traditional security measures. Under the Credential Access tactic, the analysis identified Modify Authentication Process: Multi-Factor Authentication Interception (T1556.003) with high confidence (90%), supported by evidence indicating intercept SMS-based one-time passcodes (OTPs) from banking, cryptocurrency apps, Input Capture: Keylogging (T1056.001) with high confidence (90%), supported by evidence indicating log keystrokes...capture login credentials, and Steal Application Access Token (T1636) with moderate to high confidence (80%), supported by evidence indicating overlaying fake forms on legitimate applications...divulging sensitive information. Under the Collection tactic, the analysis identified Screen Capture (T1113) with moderate to high confidence (80%), supported by evidence indicating monitor screens...exfiltrate data in real time, Input Capture: Keylogging (T1056.001) with high confidence (90%), supported by evidence indicating log keystrokes...capture login credentials, and Steal Web Session Cookie (T1639) with moderate to high confidence (70%), supported by evidence indicating intercept SMS-based OTPs...hijacking user accounts. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (80%), supported by evidence indicating encrypted command-and-control (C2) connections on port 4444. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating exfiltrate data in real time...C2 connections on port 4444. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating no evidence of ransomware, but financial fraud implies data misuse and Financial Theft (T1657) with high confidence (90%), supported by evidence indicating designed to facilitate financial fraud by hijacking user accounts. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing: Spearphishing Link (80%)
Deliver Malicious App via Other Means (90%)
Execution
Obtain Device Access (90%)
Remote Access Software (80%)
Persistence
Event Triggered Execution: Accessibility Features (90%)
Privilege Escalation
Event Triggered Execution: Accessibility Features (90%)
Defense Evasion
Debugger Evasion (70%)
Hijack Execution Flow: Accessibility Features (80%)
Credential Access
Modify Authentication Process: Multi-Factor Authentication Interception (90%)
Input Capture: Keylogging (90%)
Steal Application Access Token (80%)
Collection
Screen Capture (80%)
Input Capture: Keylogging (90%)
Steal Web Session Cookie (70%)
Command and Control
Application Layer Protocol: Web Protocols (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Impact
Data Encrypted for Impact (30%)
Financial Theft (90%)

Sources & References