Company Details
axisdigitalpro
17
221
5415
axisdigitalpro.com
0
AXI_1278418
In-progress


Axis Digital Company CyberSecurity Posture
axisdigitalpro.comWebsite Design & Development |E-commerce Websites | Digital Marketing- [SEO-SMO-SEM-PPC] | Mobile Applications | Graphic Design | Logo Design | Accounting Software's | Digital Signature
Company Details
axisdigitalpro
17
221
5415
axisdigitalpro.com
0
AXI_1278418
In-progress
Between 700 and 749

Axis Digital Global Score (TPRM)XXXX

Description: International Cryptocurrency Scam Ring Launders $37 Million in U.S. Victim Funds Five men from China, the U.S., and Turkey have pleaded guilty to laundering nearly $37 million stolen from U.S. victims in a global cryptocurrency investment scam operation based in Cambodia. The scheme, which targeted individuals through unsolicited social media messages, phone calls, and online dating platforms, tricked victims into investing in fraudulent digital assets by falsely claiming their funds were growing in value. The stolen money totaling $36.9 million was funneled from U.S. bank accounts to a Deltec Bank account in the Bahamas under the name *Axis Digital Limited*. The defendants, including Joseph Wong (Alhambra, CA), Yicheng Zhang (China), Jose Somarriba (Los Angeles), Shengsheng He (La Puente, CA), and Jingliang Su (China/Turkey), used shell companies, U.S. bank accounts, and cryptocurrency wallets to launder the funds. Wong led a Los Angeles-based laundering network, while Zhang managed additional U.S. accounts. Somarriba and He established *Axis Digital* and the Deltec Bank account, with Su later joining to handle cryptocurrency conversions. The stolen funds were converted into Tether (USDT) and transferred to a digital wallet in Cambodia, where accomplices distributed them to regional scam operators. Zhang has been in custody since May 2024, and Su was arrested in November 2024. Both, along with Wong, pleaded guilty to money laundering conspiracy, facing up to 20 years in prison. Zhang, Somarriba, and Su also admitted to conspiracy to operate an unlicensed money services business, carrying a maximum five-year sentence. Eight co-conspirators have now pleaded guilty, including Daren Li and Yicheng Zhang, arrested in April 2024 for allegedly laundering at least $73 million in similar "pig butchering" scams fraud tactics that combine romance baiting and fake investment schemes. In December 2024, the U.S. Justice Department charged four more suspects in an $80 million pig butchering operation. The FBI’s 2024 Internet Crime Report highlighted a surge in investment scams, with losses exceeding $6.5 billion in 2023 up from $4.57 billion the previous year.


No incidents recorded for Axis Digital in 2026.
No incidents recorded for Axis Digital in 2026.
No incidents recorded for Axis Digital in 2026.
Axis Digital cyber incidents detection timeline including parent company and subsidiaries

Website Design & Development |E-commerce Websites | Digital Marketing- [SEO-SMO-SEM-PPC] | Mobile Applications | Graphic Design | Logo Design | Accounting Software's | Digital Signature


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Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
The official website of Axis Digital is http://www.axisdigitalpro.com.
According to Rankiteo, Axis Digital’s AI-generated cybersecurity score is 705, reflecting their Moderate security posture.
According to Rankiteo, Axis Digital currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
According to Rankiteo, Axis Digital has been affected by a supply chain cyber incident involving Axis Digital, with the incident ID DELAXI1766987209.
According to Rankiteo, Axis Digital is not certified under SOC 2 Type 1.
According to Rankiteo, Axis Digital does not hold a SOC 2 Type 2 certification.
According to Rankiteo, Axis Digital is not listed as GDPR compliant.
According to Rankiteo, Axis Digital does not currently maintain PCI DSS compliance.
According to Rankiteo, Axis Digital is not compliant with HIPAA regulations.
According to Rankiteo,Axis Digital is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Axis Digital operates primarily in the IT Services and IT Consulting industry.
Axis Digital employs approximately 17 people worldwide.
Axis Digital presently has no subsidiaries across any sectors.
Axis Digital’s official LinkedIn profile has approximately 221 followers.
Axis Digital is classified under the NAICS code 5415, which corresponds to Computer Systems Design and Related Services.
No, Axis Digital does not have a profile on Crunchbase.
Yes, Axis Digital maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/axisdigitalpro.
As of January 21, 2026, Rankiteo reports that Axis Digital has experienced 1 cybersecurity incidents.
Axis Digital has an estimated 38,451 peer or competitor companies worldwide.
Incident Types: The types of cybersecurity incidents that have occurred include Cyber Attack.
Total Financial Loss: The total financial loss from these incidents is estimated to be $36.90 million.
Detection and Response: The company detects and responds to cybersecurity incidents through an law enforcement notified with yes (fbi, u.s. justice department)..
Title: International Cryptocurrency Investment Scam and Money Laundering Scheme
Description: Five men from China, the United States, and Turkey pleaded guilty to their involvement in an international crime ring and laundering nearly $37 million stolen from U.S. victims in cryptocurrency investment scams carried out from Cambodia. Accomplices living abroad reached out to targets in the United States via unsolicited social media, phone calls, text messages, and online dating services to gain their trust, promoting fraudulent digital asset investments and falsely claiming that the victims' funds' value increased after they tricked them into investing, when, in fact, their money was stolen.
Type: Cryptocurrency Investment Scam (Pig Butchering/Romance Baiting)
Attack Vector: Social MediaPhone CallsText MessagesOnline Dating Services
Vulnerability Exploited: Social Engineering
Threat Actor: Joseph WongYicheng ZhangJose SomarribaShengsheng HeJingliang SuDaren LiUnnamed accomplices in Cambodia
Motivation: Financial Gain
Common Attack Types: The most common types of attacks the company has faced is Cyber Attack.
Identification of Attack Vectors: The company identifies the attack vectors used in incidents through Social MediaPhone CallsText MessagesOnline Dating Services.

Financial Loss: $36.9 million
Legal Liabilities: Potential fines and criminal penalties
Average Financial Loss: The average financial loss per incident is $36.90 million.
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Financial Data (Bank Account Details and Cryptocurrency Transactions).

Entity Name: U.S. Victims
Entity Type: Individuals
Location: United States
Customers Affected: Multiple (exact number not specified)

Law Enforcement Notified: Yes (FBI, U.S. Justice Department)

Type of Data Compromised: Financial Data (Bank Account Details, Cryptocurrency Transactions)
Sensitivity of Data: High
Data Exfiltration: Yes (Funds transferred to international accounts and cryptocurrency wallets)

Regulations Violated: Money Laundering Laws, Unlicensed Money Services Business,
Legal Actions: Criminal charges (Money Laundering Conspiracy, Operating an Unlicensed Money Services Business)
Ensuring Regulatory Compliance: The company ensures compliance with regulatory requirements through Criminal charges (Money Laundering Conspiracy, Operating an Unlicensed Money Services Business).

Lessons Learned: Increased awareness of social engineering scams, particularly cryptocurrency investment fraud (pig butchering/romance baiting). Need for stricter monitoring of international financial transactions and shell companies used for money laundering.

Recommendations: Enhance public education on recognizing social engineering scams, Implement stricter KYC (Know Your Customer) and AML (Anti-Money Laundering) measures for cryptocurrency transactions, Improve international cooperation to track and dismantle transnational crime rings, Monitor and regulate shell companies used for illicit financial activitiesEnhance public education on recognizing social engineering scams, Implement stricter KYC (Know Your Customer) and AML (Anti-Money Laundering) measures for cryptocurrency transactions, Improve international cooperation to track and dismantle transnational crime rings, Monitor and regulate shell companies used for illicit financial activitiesEnhance public education on recognizing social engineering scams, Implement stricter KYC (Know Your Customer) and AML (Anti-Money Laundering) measures for cryptocurrency transactions, Improve international cooperation to track and dismantle transnational crime rings, Monitor and regulate shell companies used for illicit financial activitiesEnhance public education on recognizing social engineering scams, Implement stricter KYC (Know Your Customer) and AML (Anti-Money Laundering) measures for cryptocurrency transactions, Improve international cooperation to track and dismantle transnational crime rings, Monitor and regulate shell companies used for illicit financial activities
Key Lessons Learned: The key lessons learned from past incidents are Increased awareness of social engineering scams, particularly cryptocurrency investment fraud (pig butchering/romance baiting). Need for stricter monitoring of international financial transactions and shell companies used for money laundering.

Source: U.S. Justice Department

Source: FBI's 2024 Internet Crime Report
URL: https://www.ic3.gov/Media/PDF/AnnualReport/2024_IC3Report.pdf
Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: U.S. Justice Department, and Source: FBI's 2024 Internet Crime ReportUrl: https://www.ic3.gov/Media/PDF/AnnualReport/2024_IC3Report.pdf.

Investigation Status: Ongoing (Eight co-conspirators pleaded guilty, others charged)

Entry Point: Social Media, Phone Calls, Text Messages, Online Dating Services,

Root Causes: Lack of awareness among victims, exploitation of trust through social engineering, use of shell companies and international bank accounts to launder funds, weak regulatory oversight of cryptocurrency transactions
Corrective Actions: Arrests and charges against perpetrators, potential policy changes to strengthen financial transaction monitoring
Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: Arrests and charges against perpetrators, potential policy changes to strengthen financial transaction monitoring.
Last Attacking Group: The attacking group in the last incident was an Joseph WongYicheng ZhangJose SomarribaShengsheng HeJingliang SuDaren LiUnnamed accomplices in Cambodia.
Highest Financial Loss: The highest financial loss from an incident was $36.9 million.
Most Significant Legal Action: The most significant legal action taken for a regulatory violation was Criminal charges (Money Laundering Conspiracy, Operating an Unlicensed Money Services Business).
Most Significant Lesson Learned: The most significant lesson learned from past incidents was Increased awareness of social engineering scams, particularly cryptocurrency investment fraud (pig butchering/romance baiting). Need for stricter monitoring of international financial transactions and shell companies used for money laundering.
Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was Improve international cooperation to track and dismantle transnational crime rings, Monitor and regulate shell companies used for illicit financial activities, Implement stricter KYC (Know Your Customer) and AML (Anti-Money Laundering) measures for cryptocurrency transactions and Enhance public education on recognizing social engineering scams.
Most Recent Source: The most recent source of information about an incident are U.S. Justice Department and FBI's 2024 Internet Crime Report.
Most Recent URL for Additional Resources: The most recent URL for additional resources on cybersecurity best practices is https://www.ic3.gov/Media/PDF/AnnualReport/2024_IC3Report.pdf .
Current Status of Most Recent Investigation: The current status of the most recent investigation is Ongoing (Eight co-conspirators pleaded guilty, others charged).
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SummaryA command injection vulnerability (CWE-78) has been found to exist in the `wrangler pages deploy` command. The issue occurs because the `--commit-hash` parameter is passed directly to a shell command without proper validation or sanitization, allowing an attacker with control of `--commit-hash` to execute arbitrary commands on the system running Wrangler. Root causeThe commitHash variable, derived from user input via the --commit-hash CLI argument, is interpolated directly into a shell command using template literals (e.g., execSync(`git show -s --format=%B ${commitHash}`)). Shell metacharacters are interpreted by the shell, enabling command execution. ImpactThis vulnerability is generally hard to exploit, as it requires --commit-hash to be attacker controlled. The vulnerability primarily affects CI/CD environments where `wrangler pages deploy` is used in automated pipelines and the --commit-hash parameter is populated from external, potentially untrusted sources. An attacker could exploit this to: * Run any shell command. * Exfiltrate environment variables. * Compromise the CI runner to install backdoors or modify build artifacts. Credits Disclosed responsibly by kny4hacker. Mitigation * Wrangler v4 users are requested to upgrade to Wrangler v4.59.1 or higher. * Wrangler v3 users are requested to upgrade to Wrangler v3.114.17 or higher. * Users on Wrangler v2 (EOL) should upgrade to a supported major version.
Vulnerability in the Oracle VM VirtualBox product of Oracle Virtualization (component: Core). Supported versions that are affected are 7.1.14 and 7.2.4. Easily exploitable vulnerability allows high privileged attacker with logon to the infrastructure where Oracle VM VirtualBox executes to compromise Oracle VM VirtualBox. While the vulnerability is in Oracle VM VirtualBox, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in takeover of Oracle VM VirtualBox. CVSS 3.1 Base Score 8.2 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H).
Vulnerability in the Oracle VM VirtualBox product of Oracle Virtualization (component: Core). Supported versions that are affected are 7.1.14 and 7.2.4. Easily exploitable vulnerability allows high privileged attacker with logon to the infrastructure where Oracle VM VirtualBox executes to compromise Oracle VM VirtualBox. While the vulnerability is in Oracle VM VirtualBox, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle VM VirtualBox accessible data as well as unauthorized access to critical data or complete access to all Oracle VM VirtualBox accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of Oracle VM VirtualBox. CVSS 3.1 Base Score 8.1 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:L).
Vulnerability in the Oracle VM VirtualBox product of Oracle Virtualization (component: Core). Supported versions that are affected are 7.1.14 and 7.2.4. Easily exploitable vulnerability allows high privileged attacker with logon to the infrastructure where Oracle VM VirtualBox executes to compromise Oracle VM VirtualBox. While the vulnerability is in Oracle VM VirtualBox, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in takeover of Oracle VM VirtualBox. CVSS 3.1 Base Score 8.2 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H).
Vulnerability in the Oracle VM VirtualBox product of Oracle Virtualization (component: Core). Supported versions that are affected are 7.1.14 and 7.2.4. Easily exploitable vulnerability allows high privileged attacker with logon to the infrastructure where Oracle VM VirtualBox executes to compromise Oracle VM VirtualBox. While the vulnerability is in Oracle VM VirtualBox, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in takeover of Oracle VM VirtualBox. CVSS 3.1 Base Score 8.2 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H).

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