ISOSOC2 Type 1SOC2 Type 2PCI DSSHIPAAGDPR

ruby is a global technology company that is home to the world’s most unique dating web sites. Like relationships, ruby is complex and multifaceted. Ashley Madison, the flagship brand of ruby, is revolutionizing the way millions of people located around the world connect and meet. As a Canadian technology company driven by analytics and user centric design, we care about our customer experience and are continuously looking for ways to make it better! Life is short, be agile and step out of the box. Does the idea of working creatively every day with the ability to dig deeper and solve huge problems intrigue you? Do you envision yourself working with smart people in a collaborative, fast-paced, environment using the latest technology tools? Have you always dreamed about working for a company where you can apply your great talents and continue to learn and grow throughout your career? If you answered “Yes” to all of these questions then ruby is the place for you! We work hard, play hard and have fun. We foster a culture where you can be yourself and where diversity workforce, thought, and opinion is expected.

ruby A.I CyberSecurity Scoring

ruby

Company Details

Linkedin ID:

ruby-life-inc

Employees number:

262

Number of followers:

30,865

NAICS:

5112

Industry Type:

Software Development

Homepage:

rubylife.com

IP Addresses:

Scan still pending

Company ID:

RUB_1902667

Scan Status:

In-progress

AI scoreruby Risk Score (AI oriented)

Between 700 and 749

https://images.rankiteo.com/companyimages/ruby-life-inc.jpeg
ruby Software Development
Updated:
  • Powered by our proprietary A.I cyber incident model
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globalscoreruby Global Score (TPRM)

XXXX

https://images.rankiteo.com/companyimages/ruby-life-inc.jpeg
ruby Software Development
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ruby

Moderate
Current Score
748
Ba (Moderate)
01000
1 incidents
0 avg impact

Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.

DECEMBER 2025
748
NOVEMBER 2025
748
OCTOBER 2025
748
SEPTEMBER 2025
748
AUGUST 2025
748
JULY 2025
748
JUNE 2025
748
MAY 2025
748
APRIL 2025
747
MARCH 2025
747
FEBRUARY 2025
747
JANUARY 2025
747
JUNE 2015
754
Breach
16 Jun 2015 • Ashley Madison (Avid Life Media)
General Data Breach and Dark Web Data Trade Analysis

In 2015, Ashley Madison—a controversial online dating platform catering to individuals seeking extramarital affairs—suffered a catastrophic data breach orchestrated by a hacker group calling itself *The Impact Team*. The attackers exploited security vulnerabilities to exfiltrate **36 million user records**, including real names, email addresses, physical addresses, credit card transaction details, and sexual preferences. Unlike typical breaches aimed at financial gain, the hackers publicly dumped the data online as a moral protest against the company’s deceptive practices (e.g., fake female profiles and a paid 'full delete' feature that failed to erase user data). The leak triggered widespread blackmail, divorces, and even suicides among exposed users. The company faced **$11.2 million in FTC settlements**, class-action lawsuits, and irreversible reputational damage. The breach also revealed poor security measures, such as weak encryption and lax access controls, amplifying the fallout.

692
critical -62
RUB4722547110925
Data Breach Dark Web Data Trade Identity Theft Risk Fraud
Exploitation of Security Flaws Targeted Cyberattacks Social Engineering Phishing
Financial Gain Fraud Identity Theft Moral/Ethical Reasons (e.g., Ashley Madison breach) Espionage Data Commodification
Financial Loss: Potential (varies based on stolen data type, e.g., fraudulent purchases from payment cards, identity theft) Email Addresses Passwords Social Security Numbers Credit Card Details Medical Records Corporate Documents Passports Birth Certificates Crypto Wallet Credentials Streaming Service Logins Verified PayPal Accounts Revenue Loss: Potential (due to fraud, reputational damage, or legal liabilities) Customer Complaints: Likely (due to exposed personal data or fraudulent activity) Brand Reputation Impact: High (loss of customer trust, negative publicity) Legal Liabilities: Potential (regulatory fines, lawsuits from affected individuals) Identity Theft Risk: High (due to exposure of PII like SSNs, passports, etc.) Payment Information Risk: High (credit card details, PayPal accounts, crypto wallets targeted for fraud)
Data Removal Services Credit Monitoring Agencies Cybersecurity Firms Law Enforcement Notified: Recommended (for severe breaches or identity theft cases) Freezing Credit Reports Locking Payment Cards Resetting Compromised Passwords Using Password Managers Enabling Multi-Factor Authentication (MFA) Removing Personal Data from Public Profiles Monitoring Dark Web for Leaked Data Employing VPNs for Traffic Encryption Using Burner Emails/One-Time Payment Methods Public Advisories for Affected Users Transparency Reports (for corporations) Customer Notifications Dark Web Monitoring Credit Monitoring Account Activity Alerts
Payment Cards Site Credentials (Social Media, Email) Personal Documents (Passports, SSNs, Birth Certificates) Medical Records Corporate Documents Crypto Wallets Streaming Service Logins PayPal Accounts Sensitivity Of Data: High (includes PII, financial data, and confidential documents) Data Exfiltration: Yes (data is extracted and sold/traded) Names Email Addresses Passwords Social Security Numbers Credit Card Numbers Passport Details Medical History Addresses Phone Numbers
Potentially GDPR (for EU residents) CCPA (for California residents) HIPAA (for medical data) PCI DSS (for payment card data) Potential Lawsuits from Affected Parties Regulatory Investigations Regulatory Notifications: Required (depending on jurisdiction and breach severity)
Data breaches are often targeted and exploit overlooked security flaws, emphasizing the need for proactive cybersecurity measures. Stolen data is commodified and traded rapidly on underground markets, highlighting the importance of monitoring and quick response. Individuals and organizations must adopt layered defenses (e.g., password managers, VPNs, MFA) to mitigate risks. Limiting publicly shared personal information reduces attack surfaces for social engineering and phishing. Dark web monitoring and data removal services can help detect and mitigate exposure of compromised data.
Use password managers and enable multi-factor authentication (MFA) for all accounts. Employ VPNs to encrypt internet traffic and prevent profiling by ISPs or advertisers. Adjust privacy settings on social media to restrict access to personal information. Limit sharing of sensitive details (e.g., address, workplace) on public platforms. Use burner emails, one-time payment methods, and P.O. boxes for online transactions when possible. Monitor accounts and credit reports regularly for signs of fraud or unauthorized activity. Engage data removal services to scan the dark web for leaked personal information. Freeze credit reports if sensitive data (e.g., SSNs) is exposed in a breach. Educate employees and individuals on recognizing phishing attempts and social engineering tactics. For organizations: Implement robust incident response plans, conduct regular security audits, and comply with regulatory requirements for breach disclosure.
Ongoing (general analysis of dark web data trade practices)
If your data is involved in a breach, immediately reset passwords and enable MFA. Contact financial institutions to secure accounts if payment data is compromised. Consider credit freezes or fraud alerts if PII (e.g., SSNs) is exposed. Use reputable dark web monitoring services to track leaked data. Report suspicious activity (e.g., unauthorized logins, fraudulent transactions) to relevant authorities.
Individuals: Monitor accounts, use protective tools (VPNs, password managers), and limit exposure of personal data. Corporations: Strengthen cybersecurity posture, disclose breaches transparently, and assist affected customers. Regulators: Enforce compliance with data protection laws and penalize negligent organizations.
Exploited Vulnerabilities Phishing Attacks Stolen Credentials Third-Party Compromises Backdoors Established: Likely (for persistent access in targeted attacks) Financial Data PII Corporate Secrets Intellectual Property Data Sold On Dark Web: Yes (common practice for monetization)
Exploitation of unpatched vulnerabilities or weak security controls. Successful phishing or social engineering attacks leading to credential theft. Insufficient monitoring or detection of anomalous activity. Over-sharing of personal data on public platforms, aiding targeted attacks. Delayed or inadequate incident response exacerbating damage. Patch vulnerabilities promptly and conduct regular security audits. Implement advanced threat detection (e.g., AI-driven anomaly detection). Enhance employee training on cybersecurity best practices and phishing awareness. Adopt zero-trust architecture and network segmentation to limit lateral movement. Develop and test incident response plans to ensure rapid containment and recovery. Collaborate with law enforcement and cybersecurity firms to disrupt dark web data trade. Advocate for stronger regulatory frameworks to hold negligent organizations accountable.

Frequently Asked Questions

According to Rankiteo, the current A.I.-based Cyber Score for ruby is 748, which corresponds to a Moderate rating.

According to Rankiteo, the A.I. Rankiteo Cyber Score for November 2025 was 748.

According to Rankiteo, the A.I. Rankiteo Cyber Score for October 2025 was 748.

According to Rankiteo, the A.I. Rankiteo Cyber Score for September 2025 was 748.

According to Rankiteo, the A.I. Rankiteo Cyber Score for August 2025 was 748.

According to Rankiteo, the A.I. Rankiteo Cyber Score for July 2025 was 748.

According to Rankiteo, the A.I. Rankiteo Cyber Score for June 2025 was 748.

According to Rankiteo, the A.I. Rankiteo Cyber Score for May 2025 was 748.

According to Rankiteo, the A.I. Rankiteo Cyber Score for April 2025 was 747.

According to Rankiteo, the A.I. Rankiteo Cyber Score for March 2025 was 747.

According to Rankiteo, the A.I. Rankiteo Cyber Score for February 2025 was 747.

According to Rankiteo, the A.I. Rankiteo Cyber Score for January 2025 was 747.

Over the past 12 months, the average per-incident point impact on ruby’s A.I Rankiteo Cyber Score has been 0 points.

You can access ruby’s cyber incident details on Rankiteo by visiting the following link: https://www.rankiteo.com/company/ruby-life-inc.

You can find the summary of the A.I Rankiteo Risk Scoring methodology on Rankiteo by visiting the following link: Rankiteo Algorithm.

You can view ruby’s profile page on Rankiteo by visiting the following link: https://www.rankiteo.com/company/ruby-life-inc.

With scores of 18.5/20 from OpenAI ChatGPT, 20/20 from Mistral AI, and 17/20 from Claude AI, the A.I. Rankiteo Risk Scoring methodology is validated as a market leader.