Last.fm Company Cyber Security Posture
last.fmLast.fm is a global online music service that tracks people’s music listening habits - across many devices/platforms and via its world-class personalized music service – to help them discover and share new music through recommendations, exploration and the integration of social networking tools. We take messy, crowd-sourced data from music listeners worldwide, and process it to provide global and personal music taste statistics, an “IMDB” style knowledge-base of all music, and recommendations unique to each user. We are a social network that continues to enjoy a large, passionate, active user base with hundreds of millions of users, and we are active on many platforms, with web, desktop and mobile applications. We process billions of data points per month, bringing together third-party applications and services with integrations in Spotify, Deezer, Tidal, VLC, Sonos, and many others. Our vision is to be the connective tissue of music on the internet. We strive to unlock information about your personal relationship to the music you love, and the relationships between music and the rest of the world. Key features of the service: * Your Music Listening History Track all your music listening almost anywhere via a process we invented called "Scrobbling" * Personalized Music & Event Recommendations The more users scrobble, the more data we have to help them discover new bands and gigs, based on what they listen to, what their friends, listen to and what’s emerging in hundreds of different genres, globally. * A global encyclopedia of music. Each artist has an individual wiki-based page that collects biographical data, discographies, track details, photographs, aggregated listening stats, similar artist data, user-generated tags and other information. * Social Features Share new favorite bands and weekly listening history to social networks like Facebook and Twitter. Active community for music fans to discuss their discoveries.
Last.fm Company Details
last-fm
41 employees
7367.0
none
Technology, Information and Internet
last.fm
Scan still pending
LAS_1503153
In-progress
Last.fm Risk Score (AI oriented)Between 200 and 800
This score is AI-generated and less favored by cyber insurers, who prefer the TPRM score.
Last.fm Global Score.png)
Last.fm Company Scoring based on AI Models
| Model Name | Date | Description | Current Score Difference | Score |
|---|---|---|---|---|
| AVERAGE-Industry | 03-12-2025 | This score represents the average cybersecurity rating of companies already scanned within the same industry. It provides a benchmark to compare an individual company's security posture against its industry peers. | N/A | Between 200 and 800 |
Last.fm Company Cyber Security News & History
| Entity | Type | Severity | Impact | Seen | Url ID | Details | View |
|---|---|---|---|---|---|---|---|
| Last.fm | Breach | 60 | 3 | 09/2016 | LAS2245291023 | Link | |
Rankiteo Explanation : Attack with significant impact with internal employee data leaksDescription: Hackers gained access to the Last.fm online music service, the firm informed subscribers of the breach and encouraged them to reset their passwords. Since the MD5 hashing technique without salt is recognised to be a weak security implementation, the company was utilising it to secure passwords. At the time of the data breach, the actual number of affected users was not made public; nonetheless, compromised documents contained email addresses, dates of registration, usernames, passwords, and other internal data. A username, email address, password, join date, and a few other internal details are contained in each record. | |||||||
Last.fm Company Subsidiaries
Last.fm is a global online music service that tracks people’s music listening habits - across many devices/platforms and via its world-class personalized music service – to help them discover and share new music through recommendations, exploration and the integration of social networking tools. We take messy, crowd-sourced data from music listeners worldwide, and process it to provide global and personal music taste statistics, an “IMDB” style knowledge-base of all music, and recommendations unique to each user. We are a social network that continues to enjoy a large, passionate, active user base with hundreds of millions of users, and we are active on many platforms, with web, desktop and mobile applications. We process billions of data points per month, bringing together third-party applications and services with integrations in Spotify, Deezer, Tidal, VLC, Sonos, and many others. Our vision is to be the connective tissue of music on the internet. We strive to unlock information about your personal relationship to the music you love, and the relationships between music and the rest of the world. Key features of the service: * Your Music Listening History Track all your music listening almost anywhere via a process we invented called "Scrobbling" * Personalized Music & Event Recommendations The more users scrobble, the more data we have to help them discover new bands and gigs, based on what they listen to, what their friends, listen to and what’s emerging in hundreds of different genres, globally. * A global encyclopedia of music. Each artist has an individual wiki-based page that collects biographical data, discographies, track details, photographs, aggregated listening stats, similar artist data, user-generated tags and other information. * Social Features Share new favorite bands and weekly listening history to social networks like Facebook and Twitter. Active community for music fans to discuss their discoveries.
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Last.fm Cyber Security News
Zero-day exploitation drops slightly from last year, Google report finds
Dive Brief: · In a report published Tuesday, Google said it saw hackers exploit fewer zero-day vulnerabilities in the wild in 2024 than in 2023.
Farewell to the Fallen: The Cybersecurity Stars We Lost Last Year
Much like a tribute to celebrities lost in the past year, this article will look back at a few of cybersecurity's brightest stars that went dark in the past ...
Poor cyber hygiene enabled nearly 30% of cyberattacks last quarter
A new report from the cybersecurity insurance provider Corvus found that many cyberattacks last quarter might have been easily avoided.
Carr Slams 'Biden FCC' for Last-Minute Vote on Cybersecurity Measure
The vote centered on a controversial cybersecurity proposal introduced just weeks before Rosenworcel's departure.
In last-minute reversal, US agency extends support for cyber vulnerability database
US officials will extend support for 11 months for a database of cyber weaknesses that plays a critical role in fighting bugs and hacks.
President Biden Issues Last-Minute Cybersecurity Executive Order
On January 16, 2025, President Biden issued Executive Order 14144, titled “Strengthening and Promoting Innovation in the Nation's Cybersecurity” ...
Biden’s Last-Minute Cybersecurity Executive Order Raising Eyebrows
Joe Biden issued an executive order on January 16, 2025, titled Strengthening and Promoting Innovation in the Nation's Cybersecurity.
72% of cybersecurity leaders faced a cyberattack in last 18 months
A report found that 72% of surveyed cybersecurity professionals in the U.S. have been targeted by cyberattacks in the past 18 months.
Check Point Research Reports Highest Increase of Global Cyber Attacks seen in last two years – a 30% Incre ...
In Q2 2024, Check Point Research saw a 30% YoY increase in cyber attacks globally, reaching 1,636 attacks per organization per week. Top 3 most ...
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Frequently Asked Questions (FAQ) on Cybersecurity Incidents
Last.fm CyberSecurity History Information
Total Incidents: According to Rankiteo, Last.fm has faced 1 incidents in the past.
Incident Types: The types of cybersecurity incidents that have occurred include ['Breach'].
Total Financial Loss: The total financial loss from these incidents is estimated to be {total_financial_loss}.
Cybersecurity Posture: The company's overall cybersecurity posture is described as Last.fm is a global online music service that tracks people’s music listening habits - across many devices/platforms and via its world-class personalized music service – to help them discover and share new music through recommendations, exploration and the integration of social networking tools. We take messy, crowd-sourced data from music listeners worldwide, and process it to provide global and personal music taste statistics, an “IMDB” style knowledge-base of all music, and recommendations unique to each user. We are a social network that continues to enjoy a large, passionate, active user base with hundreds of millions of users, and we are active on many platforms, with web, desktop and mobile applications. We process billions of data points per month, bringing together third-party applications and services with integrations in Spotify, Deezer, Tidal, VLC, Sonos, and many others. Our vision is to be the connective tissue of music on the internet. We strive to unlock information about your personal relationship to the music you love, and the relationships between music and the rest of the world. Key features of the service: * Your Music Listening History Track all your music listening almost anywhere via a process we invented called "Scrobbling" * Personalized Music & Event Recommendations The more users scrobble, the more data we have to help them discover new bands and gigs, based on what they listen to, what their friends, listen to and what’s emerging in hundreds of different genres, globally. * A global encyclopedia of music. Each artist has an individual wiki-based page that collects biographical data, discographies, track details, photographs, aggregated listening stats, similar artist data, user-generated tags and other information. * Social Features Share new favorite bands and weekly listening history to social networks like Facebook and Twitter. Active community for music fans to discuss their discoveries..
Detection and Response: The company detects and responds to cybersecurity incidents through {description_of_detection_and_response_process}.
Incident Details
Incident 1: Ransomware Attack
Title: {Incident_Title}
Description: {Brief_description_of_the_incident}
Date Detected: {Detection_Date}
Date Publicly Disclosed: {Disclosure_Date}
Date Resolved: {Resolution_Date}
Type: {Type_of_Attack}
Attack Vector: {Attack_Vector}
Vulnerability Exploited: {Vulnerability}
Threat Actor: {Threat_Actor}
Motivation: {Motivation}
Incident 2: Data Breach
Title: {Incident_Title}
Description: {Brief_description_of_the_incident}
Date Detected: {Detection_Date}
Date Publicly Disclosed: {Disclosure_Date}
Date Resolved: {Resolution_Date}
Type: {Type_of_Attack}
Attack Vector: {Attack_Vector}
Vulnerability Exploited: {Vulnerability}
Threat Actor: {Threat_Actor}
Motivation: {Motivation}
Common Attack Types: As of now, the company has not encountered any reported incidents involving common cyberattacks.
Identification of Attack Vectors: The company identifies the attack vectors used in incidents through {description_of_identification_process}.
Impact of the Incidents
Incident 1: Ransomware Attack
Financial Loss: {Financial_Loss}
Data Compromised: {Data_Compromised}
Systems Affected: {Systems_Affected}
Downtime: {Downtime}
Operational Impact: {Operational_Impact}
Conversion Rate Impact: {Conversion_Rate_Impact}
Revenue Loss: {Revenue_Loss}
Customer Complaints: {Customer_Complaints}
Brand Reputation Impact: {Brand_Reputation_Impact}
Legal Liabilities: {Legal_Liabilities}
Identity Theft Risk: {Identity_Theft_Risk}
Payment Information Risk: {Payment_Information_Risk}
Incident 2: Data Breach
Financial Loss: {Financial_Loss}
Data Compromised: {Data_Compromised}
Systems Affected: {Systems_Affected}
Downtime: {Downtime}
Operational Impact: {Operational_Impact}
Conversion Rate Impact: {Conversion_Rate_Impact}
Revenue Loss: {Revenue_Loss}
Customer Complaints: {Customer_Complaints}
Brand Reputation Impact: {Brand_Reputation_Impact}
Legal Liabilities: {Legal_Liabilities}
Identity Theft Risk: {Identity_Theft_Risk}
Payment Information Risk: {Payment_Information_Risk}
Average Financial Loss: The average financial loss per incident is {average_financial_loss}.
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are {list_of_commonly_compromised_data_types}.
Incident 1: Ransomware Attack
Entity Name: {Entity_Name}
Entity Type: {Entity_Type}
Industry: {Industry}
Location: {Location}
Size: {Size}
Customers Affected: {Customers_Affected}
Incident 2: Data Breach
Entity Name: {Entity_Name}
Entity Type: {Entity_Type}
Industry: {Industry}
Location: {Location}
Size: {Size}
Customers Affected: {Customers_Affected}
Response to the Incidents
Incident 1: Ransomware Attack
Incident Response Plan Activated: {Yes/No}
Third Party Assistance: {Yes/No}
Law Enforcement Notified: {Yes/No}
Containment Measures: {Containment_Measures}
Remediation Measures: {Remediation_Measures}
Recovery Measures: {Recovery_Measures}
Communication Strategy: {Communication_Strategy}
Adaptive Behavioral WAF: {Adaptive_Behavioral_WAF}
On-Demand Scrubbing Services: {On_Demand_Scrubbing_Services}
Network Segmentation: {Network_Segmentation}
Enhanced Monitoring: {Enhanced_Monitoring}
Incident 2: Data Breach
Incident Response Plan Activated: {Yes/No}
Third Party Assistance: {Yes/No}
Law Enforcement Notified: {Yes/No}
Containment Measures: {Containment_Measures}
Remediation Measures: {Remediation_Measures}
Recovery Measures: {Recovery_Measures}
Communication Strategy: {Communication_Strategy}
Adaptive Behavioral WAF: {Adaptive_Behavioral_WAF}
On-Demand Scrubbing Services: {On_Demand_Scrubbing_Services}
Network Segmentation: {Network_Segmentation}
Enhanced Monitoring: {Enhanced_Monitoring}
Incident Response Plan: The company's incident response plan is described as {description_of_incident_response_plan}.
Third-Party Assistance: The company involves third-party assistance in incident response through {description_of_third_party_involvement}.
Data Breach Information
Incident 2: Data Breach
Type of Data Compromised: {Type_of_Data}
Number of Records Exposed: {Number_of_Records}
Sensitivity of Data: {Sensitivity_of_Data}
Data Exfiltration: {Yes/No}
Data Encryption: {Yes/No}
File Types Exposed: {File_Types}
Personally Identifiable Information: {Yes/No}
Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: {description_of_prevention_measures}.
Handling of PII Incidents: The company handles incidents involving personally identifiable information (PII) through {description_of_handling_process}.
Ransomware Information
Incident 1: Ransomware Attack
Ransom Demanded: {Ransom_Amount}
Ransom Paid: {Ransom_Paid}
Ransomware Strain: {Ransomware_Strain}
Data Encryption: {Yes/No}
Data Exfiltration: {Yes/No}
Ransom Payment Policy: The company's policy on paying ransoms in ransomware incidents is described as {description_of_ransom_payment_policy}.
Data Recovery from Ransomware: The company recovers data encrypted by ransomware through {description_of_data_recovery_process}.
Regulatory Compliance
Incident 1: Ransomware Attack
Regulations Violated: {Regulations_Violated}
Fines Imposed: {Fines_Imposed}
Legal Actions: {Legal_Actions}
Regulatory Notifications: {Regulatory_Notifications}
Incident 2: Data Breach
Regulations Violated: {Regulations_Violated}
Fines Imposed: {Fines_Imposed}
Legal Actions: {Legal_Actions}
Regulatory Notifications: {Regulatory_Notifications}
Regulatory Frameworks: The company complies with the following regulatory frameworks regarding cybersecurity: {list_of_regulatory_frameworks}.
Ensuring Regulatory Compliance: The company ensures compliance with regulatory requirements through {description_of_compliance_measures}.
Lessons Learned and Recommendations
Incident 1: Ransomware Attack
Lessons Learned: {Lessons_Learned}
Incident 2: Data Breach
Lessons Learned: {Lessons_Learned}
Incident 1: Ransomware Attack
Recommendations: {Recommendations}
Incident 2: Data Breach
Recommendations: {Recommendations}
Key Lessons Learned: The key lessons learned from past incidents are {list_of_key_lessons_learned}.
Implemented Recommendations: The company has implemented the following recommendations to improve cybersecurity: {list_of_implemented_recommendations}.
References
Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at {list_of_additional_resources}.
Investigation Status
Incident 1: Ransomware Attack
Investigation Status: {Investigation_Status}
Incident 2: Data Breach
Investigation Status: {Investigation_Status}
Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through {description_of_communication_process}.
Stakeholder and Customer Advisories
Incident 1: Ransomware Attack
Stakeholder Advisories: {Stakeholder_Advisories}
Customer Advisories: {Customer_Advisories}
Incident 2: Data Breach
Stakeholder Advisories: {Stakeholder_Advisories}
Customer Advisories: {Customer_Advisories}
Advisories Provided: The company provides the following advisories to stakeholders and customers following an incident: {description_of_advisories_provided}.
Initial Access Broker
Incident 1: Ransomware Attack
Entry Point: {Entry_Point}
Reconnaissance Period: {Reconnaissance_Period}
Backdoors Established: {Backdoors_Established}
High Value Targets: {High_Value_Targets}
Data Sold on Dark Web: {Yes/No}
Incident 2: Data Breach
Entry Point: {Entry_Point}
Reconnaissance Period: {Reconnaissance_Period}
Backdoors Established: {Backdoors_Established}
High Value Targets: {High_Value_Targets}
Data Sold on Dark Web: {Yes/No}
Monitoring and Mitigation of Initial Access Brokers: The company monitors and mitigates the activities of initial access brokers through {description_of_monitoring_and_mitigation_measures}.
Post-Incident Analysis
Incident 1: Ransomware Attack
Root Causes: {Root_Causes}
Corrective Actions: {Corrective_Actions}
Incident 2: Data Breach
Root Causes: {Root_Causes}
Corrective Actions: {Corrective_Actions}
Post-Incident Analysis Process: The company's process for conducting post-incident analysis is described as {description_of_post_incident_analysis_process}.
Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: {list_of_corrective_actions_taken}.
Additional Questions
General Information
Ransom Payment History: The company has {paid/not_paid} ransoms in the past.
Last Ransom Demanded: The amount of the last ransom demanded was {last_ransom_amount}.
Last Attacking Group: The attacking group in the last incident was {last_attacking_group}.
Incident Details
Most Recent Incident Detected: The most recent incident detected was on {most_recent_incident_detected_date}.
Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on {most_recent_incident_publicly_disclosed_date}.
Most Recent Incident Resolved: The most recent incident resolved was on {most_recent_incident_resolved_date}.
Impact of the Incidents
Highest Financial Loss: The highest financial loss from an incident was {highest_financial_loss}.
Most Significant Data Compromised: The most significant data compromised in an incident was {most_significant_data_compromised}.
Most Significant System Affected: The most significant system affected in an incident was {most_significant_system_affected}.
Response to the Incidents
Third-Party Assistance in Most Recent Incident: The third-party assistance involved in the most recent incident was {third_party_assistance_in_most_recent_incident}.
Containment Measures in Most Recent Incident: The containment measures taken in the most recent incident were {containment_measures_in_most_recent_incident}.
Data Breach Information
Most Sensitive Data Compromised: The most sensitive data compromised in a breach was {most_sensitive_data_compromised}.
Number of Records Exposed: The number of records exposed in the most significant breach was {number_of_records_exposed}.
Ransomware Information
Highest Ransom Demanded: The highest ransom demanded in a ransomware incident was {highest_ransom_demanded}.
Highest Ransom Paid: The highest ransom paid in a ransomware incident was {highest_ransom_paid}.
Regulatory Compliance
Highest Fine Imposed: The highest fine imposed for a regulatory violation was {highest_fine_imposed}.
Most Significant Legal Action: The most significant legal action taken for a regulatory violation was {most_significant_legal_action}.
Lessons Learned and Recommendations
Most Significant Lesson Learned: The most significant lesson learned from past incidents was {most_significant_lesson_learned}.
Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was {most_significant_recommendation_implemented}.
References
Most Recent Source: The most recent source of information about an incident is {most_recent_source}.
Most Recent URL for Additional Resources: The most recent URL for additional resources on cybersecurity best practices is {most_recent_url}.
Investigation Status
Current Status of Most Recent Investigation: The current status of the most recent investigation is {current_status_of_most_recent_investigation}.
Stakeholder and Customer Advisories
Most Recent Stakeholder Advisory: The most recent stakeholder advisory issued was {most_recent_stakeholder_advisory}.
Most Recent Customer Advisory: The most recent customer advisory issued was {most_recent_customer_advisory}.
Initial Access Broker
Most Recent Entry Point: The most recent entry point used by an initial access broker was {most_recent_entry_point}.
Most Recent Reconnaissance Period: The most recent reconnaissance period for an incident was {most_recent_reconnaissance_period}.
Post-Incident Analysis
Most Significant Root Cause: The most significant root cause identified in post-incident analysis was {most_significant_root_cause}.
Most Significant Corrective Action: The most significant corrective action taken based on post-incident analysis was {most_significant_corrective_action}.
What Do We Measure?
Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.
These are some of the factors we use to calculate the overall score:
Identify exposed access points, detect misconfigured SSL certificates, and uncover vulnerabilities across the network infrastructure.
Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.
Monitor and manage all IT assets and their configurations to ensure accurate, real-time visibility across the company's technology environment.
Leverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.
