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Founded in 2003, LinkedIn connects the world's professionals to make them more productive and successful. With more than 1 billion members worldwide, including executives from every Fortune 500 company, LinkedIn is the world's largest professional network. The company has a diversified business model with revenue coming from Talent Solutions, Marketing Solutions, Sales Solutions and Premium Subscriptions products. Headquartered in Silicon Valley, LinkedIn has offices across the globe.

LinkedIn A.I CyberSecurity Scoring

LinkedIn

Company Details

Linkedin ID:

linkedin

Employees number:

23,908

Number of followers:

33,387,235

NAICS:

5112

Industry Type:

Software Development

Homepage:

linkedin.com

IP Addresses:

34

Company ID:

LIN_3207977

Scan Status:

Completed

AI scoreLinkedIn Risk Score (AI oriented)

Between 750 and 799

https://images.rankiteo.com/companyimages/linkedin.jpeg
LinkedIn Software Development
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LinkedIn Software Development
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LinkedIn Company CyberSecurity News & History

Past Incidents
6
Attack Types
3
EntityTypeSeverityImpactSeenBlog DetailsSupply Chain SourceIncident DetailsView
LinkedInBreach8543/2026NA
Rankiteo Explanation :
Attack with significant impact with customers data leaks

Description: LinkedIn Faces Data Scraping Incident Exposing User Information A recent data scraping incident has exposed publicly available LinkedIn user profiles, raising concerns over privacy and unauthorized data collection. The breach, detected in early 2024, involved third-party actors extracting profile information including names, job titles, workplace details, and contact data from millions of accounts. The incident highlights the risks of large-scale data scraping, where automated tools harvest publicly accessible information without direct platform compromise. While LinkedIn’s systems were not breached, the extracted data could be used for phishing, social engineering, or targeted advertising. The company has acknowledged the activity but emphasized that no private or sensitive data (such as passwords or financial information) was accessed. This event follows similar scraping incidents in recent years, underscoring the challenges platforms face in balancing open access with user privacy. LinkedIn has implemented measures to detect and mitigate scraping attempts, though the long-term effectiveness of such protections remains under scrutiny. The exposed data’s potential misuse continues to pose risks for individuals and organizations.

LinkedInCyber Attack25112/2025NA
Rankiteo Explanation :
Attack without any consequences

Description: FIN6 Exploits Cloud Infrastructure in Sophisticated HR-Targeted Phishing Campaign The financially motivated cybercrime group FIN6 (also known as *Skeleton Spider*) is leveraging fake job applications and trusted cloud services to target human resources (HR) professionals in a highly evasive social engineering campaign. Researchers at DomainTools uncovered the operation, which combines professional networking platforms like LinkedIn and Indeed with malware-hosted cloud infrastructure to bypass traditional security defenses. ### How the Attack Works 1. Initial Contact – Attackers pose as job seekers on professional platforms, engaging recruiters to build rapport before sending phishing emails with malicious links. 2. Fake Resume Sites – Domains mimicking real applicant names (e.g., *bobbyweisman[.]com*, *ryanberardi[.]com*) are registered via GoDaddy’s anonymous services and hosted on AWS EC2 or S3, blending into legitimate cloud traffic. 3. Sophisticated Evasion – The sites employ traffic filtering to distinguish targets from security researchers, checking IP reputation, geolocation, OS, and browser fingerprints. Only residential Windows users bypass CAPTCHA walls to receive malicious ZIP files containing the More_eggs backdoor. 4. Malware Deployment – More_eggs, a modular JavaScript backdoor, operates in memory to evade detection, enabling credential theft, command execution, and follow-on attacks, including ransomware deployment. ### Why HR is a Prime Target HR teams frequently interact with external contacts and handle unsolicited communications, making them vulnerable to social engineering. The campaign exploits this trust, using realistic job lures to bypass email filters and endpoint security. FIN6’s shift from point-of-sale (POS) breaches to enterprise ransomware underscores its evolution toward higher-value targets. ### Cloud Abuse & Detection Challenges Attackers favor AWS and other cloud platforms due to: - Low-cost setup (free-tier abuse or compromised billing accounts). - Trusted IP ranges that evade enterprise network filters. - Scalability for hosting malicious infrastructure. The campaign highlights gaps in perimeter-based security, as traditional defenses struggle to detect threats embedded in legitimate cloud services. Security teams are advised to monitor for unusual traffic patterns and suspicious file types linked to cloud-hosted malware. ### AWS Response & Broader Implications An AWS spokesperson stated the company enforces terms prohibiting illegal use and acts swiftly on abuse reports. However, the incident raises questions about balancing cloud accessibility with security controls, particularly as threat actors increasingly exploit trusted infrastructure. FIN6’s operation demonstrates how low-complexity phishing, when paired with cloud evasion techniques, can outmaneuver even advanced detection tools reinforcing the need for holistic security strategies that address both technical and human vulnerabilities.

LinkedInVulnerability506/2025NA
Rankiteo Explanation :
Attack without any consequences: Attack in which data is not compromised

Description: Multiple Cross-Site Scripting (XSS) vulnerabilities in the VMware NSX network virtualization platform could allow malicious actors to inject and execute harmful code. The security bulletin published on June 4, 2025, details three distinct vulnerabilities affecting VMware NSX Manager UI, gateway firewall, and router port components, with CVSS base scores ranging from 5.9 to 7.5. The vulnerabilities include a stored XSS flaw in NSX Manager UI, a stored XSS in gateway firewall response pages, and a stored XSS in router port configurations. VMware has released patches addressing all three vulnerabilities across affected product lines, emphasizing the need for immediate updates to mitigate the risk of privilege escalation and persistent XSS attacks.

LinkedInBreach100412/2016NA
Rankiteo Explanation :
Attack with significant impact with customers data leaks

Description: Lynda.com now LinkedIn Learning, was informing its consumers of a security breach. The firm claims that an unauthorised third party gained access to a database that contained user data. The company began informing its clientele that hackers had gained access to learning data, including attempted courses and contact information. The company's owner, LinkedIn, verified the issue and disclosed that, as a precaution, the passwords of 55,000 users had been reset. It is possible that 9.5 million users were affected in total. LinkedIn disclosed further steps to safeguard user accounts on Lynda.com in reaction to the data leak.

LinkedInBreach10056/2016NA
Rankiteo Explanation :
Attack threatening the organization's existence

Description: LinkedIn suffered a data breach incident in 2016 which exposed the email addresses and passwords of 117 million users. Hackers broke into the network, stole a database of password hashes, and posted some 6.5 million account credentials on a Russian password forum for the world to see. LinkedIn’s Chief Information Security Officer Cory Scott took the safety and security of members’ accounts seriously and offered protection tools such as email challenges and dual factor authentication.

LinkedInBreach8546/2012NA
Rankiteo Explanation :
Attack with significant impact with customers data leaks

Description: The California Office of the Attorney General disclosed a data breach affecting LinkedIn Corporation in June 2016, stemming from an earlier 2012 incident that was rediscovered. The breach exposed 117 million user accounts, compromising email addresses, hashed passwords, and LinkedIn member IDs. Although passwords were invalidated for accounts created before 2012 as a mitigating measure, the incident highlighted significant vulnerabilities in LinkedIn’s historical security practices. The exposed data, while hashed, posed risks of credential stuffing, phishing, and unauthorized account access if decryption attempts succeeded. The breach did not involve financial or highly sensitive personal data (e.g., Social Security numbers), but the scale of exposed credentials one of the largest at the time undermined user trust and required widespread password resets. LinkedIn faced reputational damage and regulatory scrutiny, though no direct financial fraud or identity theft was reported as a direct consequence of this specific breach.

LinkedIn: Join LinkedIn now — it’s free!
Breach
Severity: 85
Impact: 4
Seen: 3/2026
Blog:
Supply Chain Source: NA
Rankiteo Explanation
Attack with significant impact with customers data leaks

Description: LinkedIn Faces Data Scraping Incident Exposing User Information A recent data scraping incident has exposed publicly available LinkedIn user profiles, raising concerns over privacy and unauthorized data collection. The breach, detected in early 2024, involved third-party actors extracting profile information including names, job titles, workplace details, and contact data from millions of accounts. The incident highlights the risks of large-scale data scraping, where automated tools harvest publicly accessible information without direct platform compromise. While LinkedIn’s systems were not breached, the extracted data could be used for phishing, social engineering, or targeted advertising. The company has acknowledged the activity but emphasized that no private or sensitive data (such as passwords or financial information) was accessed. This event follows similar scraping incidents in recent years, underscoring the challenges platforms face in balancing open access with user privacy. LinkedIn has implemented measures to detect and mitigate scraping attempts, though the long-term effectiveness of such protections remains under scrutiny. The exposed data’s potential misuse continues to pose risks for individuals and organizations.

LinkedIn and AWS: FIN6 exploits HR workflows to breach corporate defenses
Cyber Attack
Severity: 25
Impact: 1
Seen: 12/2025
Blog:
Supply Chain Source: NA
Rankiteo Explanation
Attack without any consequences

Description: FIN6 Exploits Cloud Infrastructure in Sophisticated HR-Targeted Phishing Campaign The financially motivated cybercrime group FIN6 (also known as *Skeleton Spider*) is leveraging fake job applications and trusted cloud services to target human resources (HR) professionals in a highly evasive social engineering campaign. Researchers at DomainTools uncovered the operation, which combines professional networking platforms like LinkedIn and Indeed with malware-hosted cloud infrastructure to bypass traditional security defenses. ### How the Attack Works 1. Initial Contact – Attackers pose as job seekers on professional platforms, engaging recruiters to build rapport before sending phishing emails with malicious links. 2. Fake Resume Sites – Domains mimicking real applicant names (e.g., *bobbyweisman[.]com*, *ryanberardi[.]com*) are registered via GoDaddy’s anonymous services and hosted on AWS EC2 or S3, blending into legitimate cloud traffic. 3. Sophisticated Evasion – The sites employ traffic filtering to distinguish targets from security researchers, checking IP reputation, geolocation, OS, and browser fingerprints. Only residential Windows users bypass CAPTCHA walls to receive malicious ZIP files containing the More_eggs backdoor. 4. Malware Deployment – More_eggs, a modular JavaScript backdoor, operates in memory to evade detection, enabling credential theft, command execution, and follow-on attacks, including ransomware deployment. ### Why HR is a Prime Target HR teams frequently interact with external contacts and handle unsolicited communications, making them vulnerable to social engineering. The campaign exploits this trust, using realistic job lures to bypass email filters and endpoint security. FIN6’s shift from point-of-sale (POS) breaches to enterprise ransomware underscores its evolution toward higher-value targets. ### Cloud Abuse & Detection Challenges Attackers favor AWS and other cloud platforms due to: - Low-cost setup (free-tier abuse or compromised billing accounts). - Trusted IP ranges that evade enterprise network filters. - Scalability for hosting malicious infrastructure. The campaign highlights gaps in perimeter-based security, as traditional defenses struggle to detect threats embedded in legitimate cloud services. Security teams are advised to monitor for unusual traffic patterns and suspicious file types linked to cloud-hosted malware. ### AWS Response & Broader Implications An AWS spokesperson stated the company enforces terms prohibiting illegal use and acts swiftly on abuse reports. However, the incident raises questions about balancing cloud accessibility with security controls, particularly as threat actors increasingly exploit trusted infrastructure. FIN6’s operation demonstrates how low-complexity phishing, when paired with cloud evasion techniques, can outmaneuver even advanced detection tools reinforcing the need for holistic security strategies that address both technical and human vulnerabilities.

VMware
Vulnerability
Severity: 50
Impact:
Seen: 6/2025
Blog:
Supply Chain Source: NA
Rankiteo Explanation
Attack without any consequences: Attack in which data is not compromised

Description: Multiple Cross-Site Scripting (XSS) vulnerabilities in the VMware NSX network virtualization platform could allow malicious actors to inject and execute harmful code. The security bulletin published on June 4, 2025, details three distinct vulnerabilities affecting VMware NSX Manager UI, gateway firewall, and router port components, with CVSS base scores ranging from 5.9 to 7.5. The vulnerabilities include a stored XSS flaw in NSX Manager UI, a stored XSS in gateway firewall response pages, and a stored XSS in router port configurations. VMware has released patches addressing all three vulnerabilities across affected product lines, emphasizing the need for immediate updates to mitigate the risk of privilege escalation and persistent XSS attacks.

LinkedIn
Breach
Severity: 100
Impact: 4
Seen: 12/2016
Blog:
Supply Chain Source: NA
Rankiteo Explanation
Attack with significant impact with customers data leaks

Description: Lynda.com now LinkedIn Learning, was informing its consumers of a security breach. The firm claims that an unauthorised third party gained access to a database that contained user data. The company began informing its clientele that hackers had gained access to learning data, including attempted courses and contact information. The company's owner, LinkedIn, verified the issue and disclosed that, as a precaution, the passwords of 55,000 users had been reset. It is possible that 9.5 million users were affected in total. LinkedIn disclosed further steps to safeguard user accounts on Lynda.com in reaction to the data leak.

LinkedIn
Breach
Severity: 100
Impact: 5
Seen: 6/2016
Blog:
Supply Chain Source: NA
Rankiteo Explanation
Attack threatening the organization's existence

Description: LinkedIn suffered a data breach incident in 2016 which exposed the email addresses and passwords of 117 million users. Hackers broke into the network, stole a database of password hashes, and posted some 6.5 million account credentials on a Russian password forum for the world to see. LinkedIn’s Chief Information Security Officer Cory Scott took the safety and security of members’ accounts seriously and offered protection tools such as email challenges and dual factor authentication.

LinkedIn Corporation
Breach
Severity: 85
Impact: 4
Seen: 6/2012
Blog:
Supply Chain Source: NA
Rankiteo Explanation
Attack with significant impact with customers data leaks

Description: The California Office of the Attorney General disclosed a data breach affecting LinkedIn Corporation in June 2016, stemming from an earlier 2012 incident that was rediscovered. The breach exposed 117 million user accounts, compromising email addresses, hashed passwords, and LinkedIn member IDs. Although passwords were invalidated for accounts created before 2012 as a mitigating measure, the incident highlighted significant vulnerabilities in LinkedIn’s historical security practices. The exposed data, while hashed, posed risks of credential stuffing, phishing, and unauthorized account access if decryption attempts succeeded. The breach did not involve financial or highly sensitive personal data (e.g., Social Security numbers), but the scale of exposed credentials one of the largest at the time undermined user trust and required widespread password resets. LinkedIn faced reputational damage and regulatory scrutiny, though no direct financial fraud or identity theft was reported as a direct consequence of this specific breach.

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LinkedIn Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

🔒
Incident Predictions locked
Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

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A.I. Risk Score Predictions locked
Access Monitoring Plan
statics

Underwriter Stats for LinkedIn

Incidents vs Software Development Industry Average (This Year)

LinkedIn has 16.67% fewer incidents than the average of same-industry companies with at least one recorded incident.

Incidents vs All-Companies Average (This Year)

LinkedIn has 14.53% fewer incidents than the average of all companies with at least one recorded incident.

Incident Types LinkedIn vs Software Development Industry Avg (This Year)

LinkedIn reported 1 incidents this year: 0 cyber attacks, 0 ransomware, 0 vulnerabilities, 1 data breaches, compared to industry peers with at least 1 incident.

Incident History — LinkedIn (X = Date, Y = Severity)

LinkedIn cyber incidents detection timeline including parent company and subsidiaries

LinkedIn Company Subsidiaries

SubsidiaryImage

Founded in 2003, LinkedIn connects the world's professionals to make them more productive and successful. With more than 1 billion members worldwide, including executives from every Fortune 500 company, LinkedIn is the world's largest professional network. The company has a diversified business model with revenue coming from Talent Solutions, Marketing Solutions, Sales Solutions and Premium Subscriptions products. Headquartered in Silicon Valley, LinkedIn has offices across the globe.

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faq

Frequently Asked Questions

Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.

LinkedIn CyberSecurity History Information

Official Website of LinkedIn

The official website of LinkedIn is https://careers.linkedin.com.

LinkedIn’s AI-Generated Cybersecurity Score

According to Rankiteo, LinkedIn’s AI-generated cybersecurity score is 797, reflecting their Fair security posture.

How many security badges does LinkedIn’ have ?

According to Rankiteo, LinkedIn currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has LinkedIn been affected by any supply chain cyber incidents ?

According to Rankiteo, LinkedIn has been affected by a supply chain cyber incident involving LinkedIn, with the incident ID LINAWS1766995316.

Does LinkedIn have SOC 2 Type 1 certification ?

According to Rankiteo, LinkedIn is not certified under SOC 2 Type 1.

Does LinkedIn have SOC 2 Type 2 certification ?

According to Rankiteo, LinkedIn does not hold a SOC 2 Type 2 certification.

Does LinkedIn comply with GDPR ?

According to Rankiteo, LinkedIn is not listed as GDPR compliant.

Does LinkedIn have PCI DSS certification ?

According to Rankiteo, LinkedIn does not currently maintain PCI DSS compliance.

Does LinkedIn comply with HIPAA ?

According to Rankiteo, LinkedIn is not compliant with HIPAA regulations.

Does LinkedIn have ISO 27001 certification ?

According to Rankiteo,LinkedIn is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Industry Classification of LinkedIn

LinkedIn operates primarily in the Software Development industry.

Number of Employees at LinkedIn

LinkedIn employs approximately 23,908 people worldwide.

Subsidiaries Owned by LinkedIn

LinkedIn presently has no subsidiaries across any sectors.

LinkedIn’s LinkedIn Followers

LinkedIn’s official LinkedIn profile has approximately 33,387,235 followers.

NAICS Classification of LinkedIn

LinkedIn is classified under the NAICS code 5112, which corresponds to Software Publishers.

LinkedIn’s Presence on Crunchbase

No, LinkedIn does not have a profile on Crunchbase.

LinkedIn’s Presence on LinkedIn

Yes, LinkedIn maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/linkedin.

Cybersecurity Incidents Involving LinkedIn

As of April 02, 2026, Rankiteo reports that LinkedIn has experienced 6 cybersecurity incidents.

Number of Peer and Competitor Companies

LinkedIn has an estimated 29,309 peer or competitor companies worldwide.

What types of cybersecurity incidents have occurred at LinkedIn ?

Incident Types: The types of cybersecurity incidents that have occurred include Breach, Vulnerability and Cyber Attack.

How does LinkedIn detect and respond to cybersecurity incidents ?

Detection and Response: The company detects and responds to cybersecurity incidents through an remediation measures with offered protection tools such as email challenges and dual factor authentication, and remediation measures with passwords reset for 55,000 users, and communication strategy with informing customers about the breach, and remediation measures with patching, and law enforcement notified with yes (california office of the attorney general), and containment measures with passwords for accounts created before the 2012 breach were invalidated, and containment measures with aws trust & safety abuse reporting process, disabling prohibited content, and remediation measures with layered defenses, enhanced monitoring for unusual traffic patterns/file types, additional verification procedures for resume submissions, and enhanced monitoring with recommended (vigilance for unusual traffic patterns or file types), and containment measures with implemented measures to detect and mitigate scraping attempts, and communication strategy with acknowledged the activity and emphasized no private or sensitive data was accessed..

Incident Details

Can you provide details on each incident ?

Incident : Data Breach

Title: LinkedIn Data Breach

Description: LinkedIn suffered a data breach incident in 2016 which exposed the email addresses and passwords of 117 million users. Hackers broke into the network, stole a database of password hashes, and posted some 6.5 million account credentials on a Russian password forum for the world to see.

Date Detected: 2016

Date Publicly Disclosed: 2016

Type: Data Breach

Attack Vector: Network Intrusion

Threat Actor: Unknown Hackers

Motivation: Data Theft

Incident : Data Breach

Title: Lynda.com Security Breach

Description: An unauthorized third party gained access to a database containing user data at Lynda.com, now LinkedIn Learning.

Type: Data Breach

Attack Vector: Unauthorized Access

Threat Actor: Unauthorized Third Party

Incident : Vulnerability

Title: Multiple Cross-Site Scripting (XSS) Vulnerabilities in VMware NSX

Description: Multiple Cross-Site Scripting (XSS) vulnerabilities in the VMware NSX network virtualization platform could allow malicious actors to inject and execute harmful code.

Date Detected: 2025-06-04

Date Publicly Disclosed: 2025-06-04

Type: Vulnerability

Attack Vector: Stored XSS

Vulnerability Exploited: CVE-2025-22243: Stored XSS Vulnerability in NSX Manager UICVE-2025-22244: Stored XSS in Gateway Firewall Response PagesCVE-2025-22245: Stored XSS in Router Port Configurations

Motivation: Privilege EscalationCredential TheftLateral Movement

Incident : Data Breach

Title: LinkedIn Data Breach (2016)

Description: The California Office of the Attorney General reported a data breach involving LinkedIn Corporation on June 2, 2016. The breach date was May 17, 2016, and it involved member email addresses, hashed passwords, and LinkedIn member IDs, all from a 2012 incident. Approximately 117 million accounts were potentially affected as passwords for accounts created before the 2012 breach were invalidated.

Date Detected: 2016-05-17

Date Publicly Disclosed: 2016-06-02

Type: Data Breach

Incident : Phishing/Social Engineering, Malware Delivery

Title: FIN6 Skeleton Spider Campaign Targeting HR Professionals via Fake Job Applications

Description: The financially motivated cybercrime group FIN6, also known as Skeleton Spider, is targeting human resources professionals with an elaborate social engineering scheme that uses fake job applications to deliver malware. The campaign involves attackers posing as job seekers on professional platforms like LinkedIn and Indeed, building rapport with recruiters before following up with phishing emails containing malicious resume links. The fake resume sites employ sophisticated traffic filtering to deliver the More_eggs backdoor malware, which enables credential theft, system access, and follow-on attacks.

Type: Phishing/Social Engineering, Malware Delivery

Attack Vector: Phishing emails with malicious links, fake resume portfolios hosted on AWS

Vulnerability Exploited: Human psychology (trust in job applications), abuse of trusted cloud infrastructure (AWS EC2/S3)

Threat Actor: FIN6 (Skeleton Spider)

Motivation: Financial gain, credential theft, follow-on attacks (e.g., ransomware deployment)

Incident : Data Scraping

Title: LinkedIn Data Scraping Incident Exposing User Information

Description: A recent data scraping incident has exposed publicly available LinkedIn user profiles, raising concerns over privacy and unauthorized data collection. The breach involved third-party actors extracting profile information including names, job titles, workplace details, and contact data from millions of accounts.

Date Detected: 2024-01-01

Date Publicly Disclosed: 2024-01-01

Type: Data Scraping

Attack Vector: Automated scraping tools

Vulnerability Exploited: Publicly accessible profile information

Threat Actor: Third-party actors

Motivation: PhishingSocial engineeringTargeted advertising

What are the most common types of attacks the company has faced ?

Common Attack Types: The most common types of attacks the company has faced is Breach.

How does the company identify the attack vectors used in incidents ?

Identification of Attack Vectors: The company identifies the attack vectors used in incidents through LinkedIn and Indeed (professional networking platforms).

Impact of the Incidents

What was the impact of each incident ?

Incident : Data Breach LIN12220522

Data Compromised: Email addresses and passwords

Incident : Data Breach LIN1136181123

Data Compromised: Learning data, Contact information

Incident : Vulnerability 133614060625

Systems Affected: VMware NSX Manager UIGateway FirewallRouter Port Configurations

Incident : Data Breach LIN026090625

Data Compromised: Email addresses, Hashed passwords, Linkedin member ids

Brand Reputation Impact: Potential reputational damage due to exposure of 117 million accounts

Identity Theft Risk: High (due to exposure of email-password combinations)

Incident : Phishing/Social Engineering, Malware Delivery LINAWS1766995316

Data Compromised: Credentials, sensitive employee data, system access

Systems Affected: HR systems, corporate networks

Operational Impact: Potential disruption of HR operations, follow-on attacks (e.g., ransomware)

Brand Reputation Impact: Potential reputational damage due to compromised HR processes

Identity Theft Risk: High (credential theft, PII exposure)

Incident : Data Scraping LIN1773246240

Data Compromised: Names, job titles, workplace details, contact data

Brand Reputation Impact: Raised concerns over privacy and unauthorized data collection

Identity Theft Risk: Potential misuse for phishing or social engineering

What types of data are most commonly compromised in incidents ?

Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Email addresses and passwords, Learning Data, Contact Information, , Email Addresses, Hashed Passwords, Linkedin Member Ids, , Credentials, personally identifiable information (PII), sensitive employee data and Publicly available profile information.

Which entities were affected by each incident ?

Incident : Data Breach LIN12220522

Entity Name: LinkedIn

Entity Type: Company

Industry: Social Media

Location: Global

Customers Affected: 117 million users

Incident : Data Breach LIN1136181123

Entity Name: Lynda.com (LinkedIn Learning)

Entity Type: Online Learning Platform

Industry: Education Technology

Customers Affected: Potentially 9.5 million users

Incident : Vulnerability 133614060625

Entity Name: VMware

Entity Type: Organization

Industry: Technology

Incident : Data Breach LIN026090625

Entity Name: LinkedIn Corporation

Entity Type: Corporation

Industry: Technology / Social Networking

Location: California, USA

Customers Affected: 117 million

Incident : Phishing/Social Engineering, Malware Delivery LINAWS1766995316

Entity Type: Organizations with HR departments

Industry: Multiple (cross-industry)

Location: Global (targeting HR professionals via LinkedIn/Indeed)

Incident : Data Scraping LIN1773246240

Entity Name: LinkedIn

Entity Type: Social Media Platform

Industry: Technology

Size: Large

Customers Affected: Millions of accounts

Response to the Incidents

What measures were taken in response to each incident ?

Incident : Data Breach LIN12220522

Remediation Measures: Offered protection tools such as email challenges and dual factor authentication

Incident : Data Breach LIN1136181123

Remediation Measures: Passwords reset for 55,000 users

Communication Strategy: Informing customers about the breach

Incident : Vulnerability 133614060625

Remediation Measures: Patching

Incident : Data Breach LIN026090625

Law Enforcement Notified: Yes (California Office of the Attorney General)

Containment Measures: Passwords for accounts created before the 2012 breach were invalidated

Incident : Phishing/Social Engineering, Malware Delivery LINAWS1766995316

Containment Measures: AWS Trust & Safety abuse reporting process, disabling prohibited content

Remediation Measures: Layered defenses, enhanced monitoring for unusual traffic patterns/file types, additional verification procedures for resume submissions

Enhanced Monitoring: Recommended (vigilance for unusual traffic patterns or file types)

Incident : Data Scraping LIN1773246240

Containment Measures: Implemented measures to detect and mitigate scraping attempts

Communication Strategy: Acknowledged the activity and emphasized no private or sensitive data was accessed

Data Breach Information

What type of data was compromised in each breach ?

Incident : Data Breach LIN12220522

Type of Data Compromised: Email addresses and passwords

Number of Records Exposed: 117 million

Data Encryption: Password hashes

Personally Identifiable Information: Email addresses

Incident : Data Breach LIN1136181123

Type of Data Compromised: Learning data, Contact information

Number of Records Exposed: Potentially 9.5 million users

Incident : Data Breach LIN026090625

Type of Data Compromised: Email addresses, Hashed passwords, Linkedin member ids

Number of Records Exposed: 117 million

Sensitivity of Data: Moderate to High (hashed passwords and email addresses)

Data Exfiltration: Yes

Data Encryption: Hashed (passwords)

Personally Identifiable Information: Yes (email addresses linked to member IDs)

Incident : Phishing/Social Engineering, Malware Delivery LINAWS1766995316

Type of Data Compromised: Credentials, personally identifiable information (PII), sensitive employee data

Sensitivity of Data: High (PII, credentials, HR data)

Data Exfiltration: Possible (More_eggs malware enables follow-on attacks)

File Types Exposed: Malicious ZIP files containing JavaScript-based malware (More_eggs)

Personally Identifiable Information: Yes (credentials, HR data)

Incident : Data Scraping LIN1773246240

Type of Data Compromised: Publicly available profile information

Number of Records Exposed: Millions

Sensitivity of Data: Low (publicly accessible)

Data Exfiltration: Extracted by third-party actors

Personally Identifiable Information: NamesJob titlesWorkplace detailsContact data

What measures does the company take to prevent data exfiltration ?

Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: Offered protection tools such as email challenges and dual factor authentication, Passwords reset for 55,000 users, , Patching, , Layered defenses, enhanced monitoring for unusual traffic patterns/file types, additional verification procedures for resume submissions.

How does the company handle incidents involving personally identifiable information (PII) ?

Handling of PII Incidents: The company handles incidents involving personally identifiable information (PII) through by passwords for accounts created before the 2012 breach were invalidated, aws trust & safety abuse reporting process, disabling prohibited content and implemented measures to detect and mitigate scraping attempts.

Ransomware Information

Was ransomware involved in any of the incidents ?

Incident : Phishing/Social Engineering, Malware Delivery LINAWS1766995316

Data Exfiltration: Possible (More_eggs enables follow-on attacks)

Regulatory Compliance

Were there any regulatory violations and fines imposed for each incident ?

Incident : Data Breach LIN026090625

Regulatory Notifications: California Office of the Attorney General

Lessons Learned and Recommendations

What lessons were learned from each incident ?

Incident : Phishing/Social Engineering, Malware Delivery LINAWS1766995316

Lessons Learned: Traditional perimeter security is insufficient against social engineering tactics. Organizations must adopt holistic security strategies that account for human factors alongside technological defenses. HR personnel are increasingly targeted due to their regular interaction with external contacts.

Incident : Data Scraping LIN1773246240

Lessons Learned: Challenges platforms face in balancing open access with user privacy

What recommendations were made to prevent future incidents ?

Incident : Vulnerability 133614060625

Recommendations: Immediately upgrade to the patched versions of VMware NSX

Incident : Phishing/Social Engineering, Malware Delivery LINAWS1766995316

Recommendations: Implement comprehensive training programs for HR personnel on phishing and social engineering risks., Adopt additional verification procedures for resume submissions and external communications., Enhance monitoring for unusual traffic patterns or file types (e.g., ZIP files from unexpected sources)., Use layered defenses (e.g., behavioral WAF, network segmentation) to detect and block malicious activity., Report abuse of cloud services (e.g., AWS) to platform providers for takedown., Maintain vigilance for cloud-hosted phishing sites using trusted IP ranges.Implement comprehensive training programs for HR personnel on phishing and social engineering risks., Adopt additional verification procedures for resume submissions and external communications., Enhance monitoring for unusual traffic patterns or file types (e.g., ZIP files from unexpected sources)., Use layered defenses (e.g., behavioral WAF, network segmentation) to detect and block malicious activity., Report abuse of cloud services (e.g., AWS) to platform providers for takedown., Maintain vigilance for cloud-hosted phishing sites using trusted IP ranges.Implement comprehensive training programs for HR personnel on phishing and social engineering risks., Adopt additional verification procedures for resume submissions and external communications., Enhance monitoring for unusual traffic patterns or file types (e.g., ZIP files from unexpected sources)., Use layered defenses (e.g., behavioral WAF, network segmentation) to detect and block malicious activity., Report abuse of cloud services (e.g., AWS) to platform providers for takedown., Maintain vigilance for cloud-hosted phishing sites using trusted IP ranges.Implement comprehensive training programs for HR personnel on phishing and social engineering risks., Adopt additional verification procedures for resume submissions and external communications., Enhance monitoring for unusual traffic patterns or file types (e.g., ZIP files from unexpected sources)., Use layered defenses (e.g., behavioral WAF, network segmentation) to detect and block malicious activity., Report abuse of cloud services (e.g., AWS) to platform providers for takedown., Maintain vigilance for cloud-hosted phishing sites using trusted IP ranges.Implement comprehensive training programs for HR personnel on phishing and social engineering risks., Adopt additional verification procedures for resume submissions and external communications., Enhance monitoring for unusual traffic patterns or file types (e.g., ZIP files from unexpected sources)., Use layered defenses (e.g., behavioral WAF, network segmentation) to detect and block malicious activity., Report abuse of cloud services (e.g., AWS) to platform providers for takedown., Maintain vigilance for cloud-hosted phishing sites using trusted IP ranges.Implement comprehensive training programs for HR personnel on phishing and social engineering risks., Adopt additional verification procedures for resume submissions and external communications., Enhance monitoring for unusual traffic patterns or file types (e.g., ZIP files from unexpected sources)., Use layered defenses (e.g., behavioral WAF, network segmentation) to detect and block malicious activity., Report abuse of cloud services (e.g., AWS) to platform providers for takedown., Maintain vigilance for cloud-hosted phishing sites using trusted IP ranges.

What are the key lessons learned from past incidents ?

Key Lessons Learned: The key lessons learned from past incidents are Traditional perimeter security is insufficient against social engineering tactics. Organizations must adopt holistic security strategies that account for human factors alongside technological defenses. HR personnel are increasingly targeted due to their regular interaction with external contacts.Challenges platforms face in balancing open access with user privacy.

What recommendations has the company implemented to improve cybersecurity ?

Implemented Recommendations: The company has implemented the following recommendations to improve cybersecurity: Use layered defenses (e.g., behavioral WAF, network segmentation) to detect and block malicious activity., Implement comprehensive training programs for HR personnel on phishing and social engineering risks., Maintain vigilance for cloud-hosted phishing sites using trusted IP ranges., Report abuse of cloud services (e.g., AWS) to platform providers for takedown., Adopt additional verification procedures for resume submissions and external communications., Enhance monitoring for unusual traffic patterns or file types (e.g. and ZIP files from unexpected sources)..

References

Where can I find more information about each incident ?

Incident : Vulnerability 133614060625

Source: VMware Security Bulletin

Incident : Data Breach LIN026090625

Source: California Office of the Attorney General

Incident : Phishing/Social Engineering, Malware Delivery LINAWS1766995316

Source: DomainTools Research

Incident : Phishing/Social Engineering, Malware Delivery LINAWS1766995316

Source: AWS Spokesperson Statement

Where can stakeholders find additional resources on cybersecurity best practices ?

Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: VMware Security Bulletin, and Source: California Office of the Attorney General, and Source: DomainTools Research, and Source: AWS Spokesperson Statement.

Investigation Status

How does the company communicate the status of incident investigations to stakeholders ?

Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through Informing Customers About The Breach and Acknowledged the activity and emphasized no private or sensitive data was accessed.

Stakeholder and Customer Advisories

Were there any advisories issued to stakeholders or customers for each incident ?

Incident : Data Breach LIN1136181123

Customer Advisories: Informing customers about the breach

What advisories does the company provide to stakeholders and customers following an incident ?

Advisories Provided: The company provides the following advisories to stakeholders and customers following an incident: were Informing Customers About The Breach and .

Initial Access Broker

How did the initial access broker gain entry for each incident ?

Incident : Phishing/Social Engineering, Malware Delivery LINAWS1766995316

Entry Point: LinkedIn, Indeed (professional networking platforms)

Backdoors Established: More_eggs malware (JavaScript backdoor)

High Value Targets: HR professionals, recruiters

Data Sold on Dark Web: HR professionals, recruiters

Post-Incident Analysis

What were the root causes and corrective actions taken for each incident ?

Incident : Vulnerability 133614060625

Root Causes: Inadequate Input Sanitization, Privileged Access Requirements,

Corrective Actions: Patching,

Incident : Data Breach LIN026090625

Root Causes: Legacy data from 2012 breach resurfaced; inadequate long-term protection of hashed credentials

Incident : Phishing/Social Engineering, Malware Delivery LINAWS1766995316

Root Causes: Exploitation Of Trust In Professional Networking Platforms (Linkedin/Indeed)., Abuse Of Trusted Cloud Infrastructure (Aws Ec2/S3) To Host Malicious Content., Sophisticated Traffic Filtering To Evade Detection (Ip Reputation, Geolocation, Os Fingerprinting)., Use Of Captcha To Bypass Automated Security Scanners., Lack Of Verification Procedures For External Communications In Hr Workflows.,

Corrective Actions: Implement Stricter Verification For External Communications (E.G., Resume Submissions)., Enhance Monitoring For Cloud-Hosted Phishing Sites Using Trusted Ip Ranges., Train Hr Personnel On Social Engineering Risks And Phishing Tactics., Adopt Layered Security Defenses (E.G., Behavioral Waf, Network Segmentation)., Collaborate With Cloud Providers To Report And Disable Abusive Content.,

Incident : Data Scraping LIN1773246240

Root Causes: Automated scraping of publicly accessible data

Corrective Actions: Measures to detect and mitigate scraping attempts

What is the company's process for conducting post-incident analysis ?

Post-Incident Analysis Process: The company's process for conducting post-incident analysis is described as Recommended (vigilance for unusual traffic patterns or file types).

What corrective actions has the company taken based on post-incident analysis ?

Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: Patching, , Implement Stricter Verification For External Communications (E.G., Resume Submissions)., Enhance Monitoring For Cloud-Hosted Phishing Sites Using Trusted Ip Ranges., Train Hr Personnel On Social Engineering Risks And Phishing Tactics., Adopt Layered Security Defenses (E.G., Behavioral Waf, Network Segmentation)., Collaborate With Cloud Providers To Report And Disable Abusive Content., , Measures to detect and mitigate scraping attempts.

Additional Questions

General Information

Who was the attacking group in the last incident ?

Last Attacking Group: The attacking group in the last incident were an Unknown Hackers, Unauthorized Third Party, FIN6 (Skeleton Spider) and Third-party actors.

Incident Details

What was the most recent incident detected ?

Most Recent Incident Detected: The most recent incident detected was on 2016.

What was the most recent incident publicly disclosed ?

Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on 2024-01-01.

Impact of the Incidents

What was the most significant data compromised in an incident ?

Most Significant Data Compromised: The most significant data compromised in an incident were Email addresses and passwords, Learning Data, Contact Information, , email addresses, hashed passwords, LinkedIn member IDs, , Credentials, sensitive employee data, system access, Names, job titles, workplace details and contact data.

What was the most significant system affected in an incident ?

Most Significant System Affected: The most significant system affected in an incident was VMware NSX Manager UIGateway FirewallRouter Port Configurations and .

Response to the Incidents

What containment measures were taken in the most recent incident ?

Containment Measures in Most Recent Incident: The containment measures taken in the most recent incident were Passwords for accounts created before the 2012 breach were invalidated, AWS Trust & Safety abuse reporting process, disabling prohibited content and Implemented measures to detect and mitigate scraping attempts.

Data Breach Information

What was the most sensitive data compromised in a breach ?

Most Sensitive Data Compromised: The most sensitive data compromised in a breach were email addresses, Email addresses and passwords, Names, job titles, workplace details, contact data, LinkedIn member IDs, Contact Information, hashed passwords, Credentials, sensitive employee data, system access and Learning Data.

What was the number of records exposed in the most significant breach ?

Number of Records Exposed in Most Significant Breach: The number of records exposed in the most significant breach was 243.5M.

Lessons Learned and Recommendations

What was the most significant lesson learned from past incidents ?

Most Significant Lesson Learned: The most significant lesson learned from past incidents was Traditional perimeter security is insufficient against social engineering tactics. Organizations must adopt holistic security strategies that account for human factors alongside technological defenses. HR personnel are increasingly targeted due to their regular interaction with external contacts., Challenges platforms face in balancing open access with user privacy.

What was the most significant recommendation implemented to improve cybersecurity ?

Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was Use layered defenses (e.g., behavioral WAF, network segmentation) to detect and block malicious activity., Implement comprehensive training programs for HR personnel on phishing and social engineering risks., Maintain vigilance for cloud-hosted phishing sites using trusted IP ranges., Adopt additional verification procedures for resume submissions and external communications., Immediately upgrade to the patched versions of VMware NSX, Report abuse of cloud services (e.g., AWS) to platform providers for takedown., Enhance monitoring for unusual traffic patterns or file types (e.g. and ZIP files from unexpected sources)..

References

What is the most recent source of information about an incident ?

Most Recent Source: The most recent source of information about an incident are California Office of the Attorney General, DomainTools Research, AWS Spokesperson Statement and VMware Security Bulletin.

Stakeholder and Customer Advisories

What was the most recent customer advisory issued ?

Most Recent Customer Advisory: The most recent customer advisory issued was an Informing customers about the breach.

Initial Access Broker

What was the most recent entry point used by an initial access broker ?

Most Recent Entry Point: The most recent entry point used by an initial access broker were an LinkedIn and Indeed (professional networking platforms).

Post-Incident Analysis

What was the most significant root cause identified in post-incident analysis ?

Most Significant Root Cause: The most significant root cause identified in post-incident analysis was Inadequate input sanitizationPrivileged access requirements, Legacy data from 2012 breach resurfaced; inadequate long-term protection of hashed credentials, Exploitation of trust in professional networking platforms (LinkedIn/Indeed).Abuse of trusted cloud infrastructure (AWS EC2/S3) to host malicious content.Sophisticated traffic filtering to evade detection (IP reputation, geolocation, OS fingerprinting).Use of CAPTCHA to bypass automated security scanners.Lack of verification procedures for external communications in HR workflows., Automated scraping of publicly accessible data.

What was the most significant corrective action taken based on post-incident analysis ?

Most Significant Corrective Action: The most significant corrective action taken based on post-incident analysis was Patching, Implement stricter verification for external communications (e.g., resume submissions).Enhance monitoring for cloud-hosted phishing sites using trusted IP ranges.Train HR personnel on social engineering risks and phishing tactics.Adopt layered security defenses (e.g., behavioral WAF, network segmentation).Collaborate with cloud providers to report and disable abusive content., Measures to detect and mitigate scraping attempts.

cve

Latest Global CVEs (Not Company-Specific)

Description

A vulnerability was found in Nothings stb up to 1.26. Impacted is the function stbtt_InitFont_internal in the library stb_truetype.h of the component TTF File Handler. Performing a manipulation results in out-of-bounds read. Remote exploitation of the attack is possible. The exploit has been made public and could be used. The vendor was contacted early about this disclosure but did not respond in any way.

Risk Information
cvss2
Base: 5.0
Severity: LOW
AV:N/AC:L/Au:N/C:N/I:N/A:P
cvss3
Base: 4.3
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L
cvss4
Base: 5.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

V-SFT versions 6.2.10.0 and prior contain an out-of-bounds read in VS6ComFile!get_macro_mem_COM. Opening a crafted V7 file may lead to information disclosure from the affected product.

Risk Information
cvss3
Base: 7.8
Severity: LOW
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
cvss4
Base: 8.4
Severity: LOW
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

V-SFT versions 6.2.10.0 and prior contain a stack-based buffer overflow in VS6ComFile!CSaveData::_conv_AnimationItem. Opening a crafted V7 file may lead to arbitrary code execution on the affected product.

Risk Information
cvss3
Base: 7.8
Severity: LOW
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
cvss4
Base: 8.4
Severity: LOW
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

V-SFT versions 6.2.10.0 and prior contain an out-of-bounds read vulnerability in VS6MemInIF!set_temp_type_default. Opening a crafted V7 file may lead to information disclosure from the affected product.

Risk Information
cvss3
Base: 7.8
Severity: LOW
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
cvss4
Base: 8.4
Severity: LOW
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

V-SFT versions 6.2.10.0 and prior contain an out-of-bounds read vulnerability in VS6ComFile!load_link_inf. Opening a crafted V7 file may lead to information disclosure from the affected product.

Risk Information
cvss3
Base: 7.8
Severity: LOW
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
cvss4
Base: 8.4
Severity: LOW
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

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