EHN
Company Details
Linkedin ID:
einstein-healthcare-network
Website:
Employees number:
3,963
Number of followers:
30,093
NAICS:
62
Industry Type:
Homepage:
jeffersonhealth.org
IP Addresses:
0
Company ID:
EIN_6060276
Scan Status:
In-progress
Einstein Healthcare Network Company CyberSecurity Posture
jeffersonhealth.org
Jefferson Health - Einstein serves the greater Philadelphia area, including Montgomery County. http://www.einstein.edu
Einstein Healthcare Network A.I CyberSecurity Scoring
EHN Risk Score (AI oriented)Between 700 and 749
EHN
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EHN Global Score (TPRM)XXXX
EHN
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EHN Company CyberSecurity News & History
Past Incidents
3
Attack Types
2
Einstein Healthcare Network
Breach
Rankiteo Explanation
Attack with significant impact with customers data leaks
Description: Einstein Health Network, a Pennsylvania-based company operating medical rehab, outpatient, and primary care centers suffered a data breach incident that exposed patients' personal and medical information. The incident exposed patients’ names, dates of birth, medical record or patient account numbers, and/or treatment or clinical information, such as diagnoses, medications, providers, types of treatment, or treatment locations. The company has opened a helpline and offered one year of credit monitoring for patients whose Social Security Numbers were compromised.
Einstein Healthcare Network
Breach
Rankiteo Explanation
Attack with significant impact with customers data leaks
Description: The California Office of the Attorney General reported a data breach involving Einstein Healthcare Network on January 25, 2021. The breach occurred between August 5, 2020, and August 17, 2020, and involved unauthorized access to employee email accounts that may have compromised patient names, dates of birth, Social Security numbers, and health-related information. The number of affected individuals is currently unknown.
Einstein Healthcare Network
Cyber Attack
Rankiteo Explanation
Attack with significant impact with customers data leaks
Description: PA-based Einstein Healthcare Network suffered a phishing attack as unauthorized individuals who gained access to certain employee email accounts. The compromised email accounts contained patients’ names, dates of birth, medical record or patient account numbers, and/or treatment or clinical information. Those patients whose Social Security number was exposed have been offered a 1 year complimentary membership
EHN Company Scoring based on AI Models
Cyber Incidents Likelihood 3 - 6 - 9 months
A.I Risk Score Likelihood 3 - 6 - 9 months
Underwriter Stats for EHN
Incidents vs Hospitals and Health Care Industry Average (This Year)
No incidents recorded for Einstein Healthcare Network in 2025.
Incidents vs All-Companies Average (This Year)
No incidents recorded for Einstein Healthcare Network in 2025.
Incident Types EHN vs Hospitals and Health Care Industry Avg (This Year)
No incidents recorded for Einstein Healthcare Network in 2025.
Incident History — EHN (X = Date, Y = Severity)
EHN cyber incidents detection timeline including parent company and subsidiaries
EHN Company Subsidiaries
Jefferson Health - Einstein serves the greater Philadelphia area, including Montgomery County. http://www.einstein.edu
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EHN CyberSecurity News
August 12, 2025 07:00 AM
Health-ISAC says Brazil’s healthcare sector is under siege from cyber threats, urges better information sharing
Health-ISAC has issued a stark warning over escalating cyberattacks on Brazil's health sector, urging immediate improvements in information...
August 11, 2025 07:00 AM
Rising Cyber Threats to Brazil’s Health Sector Highlighted in New Health-ISAC Report
Attacks on Brazil's health system are rising, and limited intelligence sharing is contributing to put patient data and critical...
June 23, 2025 07:00 AM
Health Technology Excellence Award Winners Circle
The Health Technology Excellence Award is presented each year to an ECRI member institution that has demonstrated an outstanding initiative that improves...
June 14, 2025 08:03 PM
2023 Most Influential in Healthcare Dr. Philip Ozuah
Ozuah was named CEO of Montefiore Medicine, the umbrella organization for the 10-hospital Montefiore Health System and Albert Einstein College of Medicine,...
June 13, 2025 01:18 PM
2021 Most Influential in Healthcare Dr. Philip Ozuah
Ozuah leads the umbrella organization for Montefiore Health System and Albert Einstein College of Medicine.
June 13, 2025 11:34 AM
2014-up-and-comers-carolyn-jackson
Carolyn Jackson was CEO of Lake Pointe Health Network, a 112-bed hospital in Rowlett, Texas. During her tenure, neonatal admissions increased by more than 60%.
March 06, 2025 08:00 AM
Deepesh Chandra, Senior Vice President and Chief Information Officer, Recognized by Becker’s Hospital Review as a CIO to Know
As Chief Information Officer, Chandra uses his 20-plus years of healthcare technology leadership experience to guide Montefiore Einstein's information...
September 11, 2024 07:00 AM
Salesforce to launch pre-built AI tools for healthcare
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August 01, 2024 07:00 AM
Jefferson Health, Lehigh Valley Health Network close merger
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Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
EHN CyberSecurity History Information
Official Website of Einstein Healthcare Network
The official website of Einstein Healthcare Network is http://www.einstein.edu/.
Einstein Healthcare Network’s AI-Generated Cybersecurity Score
According to Rankiteo, Einstein Healthcare Network’s AI-generated cybersecurity score is 728, reflecting their Moderate security posture.
How many security badges does Einstein Healthcare Network’ have ?
According to Rankiteo, Einstein Healthcare Network currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Does Einstein Healthcare Network have SOC 2 Type 1 certification ?
According to Rankiteo, Einstein Healthcare Network is not certified under SOC 2 Type 1.
Does Einstein Healthcare Network have SOC 2 Type 2 certification ?
According to Rankiteo, Einstein Healthcare Network does not hold a SOC 2 Type 2 certification.
Does Einstein Healthcare Network comply with GDPR ?
According to Rankiteo, Einstein Healthcare Network is not listed as GDPR compliant.
Does Einstein Healthcare Network have PCI DSS certification ?
According to Rankiteo, Einstein Healthcare Network does not currently maintain PCI DSS compliance.
Does Einstein Healthcare Network comply with HIPAA ?
According to Rankiteo, Einstein Healthcare Network is not compliant with HIPAA regulations.
Does Einstein Healthcare Network have ISO 27001 certification ?
According to Rankiteo,Einstein Healthcare Network is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of Einstein Healthcare Network
Einstein Healthcare Network operates primarily in the Hospitals and Health Care industry.
Number of Employees at Einstein Healthcare Network
Einstein Healthcare Network employs approximately 3,963 people worldwide.
Subsidiaries Owned by Einstein Healthcare Network
Einstein Healthcare Network presently has no subsidiaries across any sectors.
Einstein Healthcare Network’s LinkedIn Followers
Einstein Healthcare Network’s official LinkedIn profile has approximately 30,093 followers.
NAICS Classification of Einstein Healthcare Network
Einstein Healthcare Network is classified under the NAICS code 62, which corresponds to Health Care and Social Assistance.
Einstein Healthcare Network’s Presence on Crunchbase
Yes, Einstein Healthcare Network has an official profile on Crunchbase, which can be accessed here: https://www.crunchbase.com/organization/einstein-healthcare-network.
Einstein Healthcare Network’s Presence on LinkedIn
Yes, Einstein Healthcare Network maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/einstein-healthcare-network.
Cybersecurity Incidents Involving Einstein Healthcare Network
As of November 27, 2025, Rankiteo reports that Einstein Healthcare Network has experienced 3 cybersecurity incidents.
Number of Peer and Competitor Companies
Einstein Healthcare Network has an estimated 30,007 peer or competitor companies worldwide.
What types of cybersecurity incidents have occurred at Einstein Healthcare Network ?
Incident Types: The types of cybersecurity incidents that have occurred include Breach and Cyber Attack.
How does Einstein Healthcare Network detect and respond to cybersecurity incidents ?
Detection and Response: The company detects and responds to cybersecurity incidents through an remediation measures with complimentary membership for affected patients..
Incident Details
Can you provide details on each incident ?
Title: Phishing Attack on Einstein Healthcare Network
Description: PA-based Einstein Healthcare Network suffered a phishing attack as unauthorized individuals gained access to certain employee email accounts. The compromised email accounts contained patients’ names, dates of birth, medical record or patient account numbers, and/or treatment or clinical information. Those patients whose Social Security number was exposed have been offered a 1 year complimentary membership.
Type: Phishing Attack
Attack Vector: Email
Vulnerability Exploited: Human Factor
Threat Actor: Unauthorized Individuals
Title: Data Breach at Einstein Health Network
Description: Einstein Health Network, a Pennsylvania-based company operating medical rehab, outpatient, and primary care centers suffered a data breach incident that exposed patients' personal and medical information.
Type: Data Breach
Title: Data Breach at Einstein Healthcare Network
Description: The California Office of the Attorney General reported a data breach involving Einstein Healthcare Network on January 25, 2021. The breach occurred between August 5, 2020, and August 17, 2020, and involved unauthorized access to employee email accounts that may have compromised patient names, dates of birth, Social Security numbers, and health-related information. The number of affected individuals is currently unknown.
Date Detected: 2021-01-25
Date Publicly Disclosed: 2021-01-25
Type: Data Breach
Attack Vector: Unauthorized Access to Email Accounts
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 Email.
Impact of the Incidents
What was the impact of each incident ?
Incident : Phishing Attack EIN1119222
Data Compromised: Patients’ names, Dates of birth, Medical record or patient account numbers, Treatment or clinical information, Social security numbers
Systems Affected: Email accounts
Incident : Data Breach EIN205925522
Data Compromised: Patients' names, Dates of birth, Medical record or patient account numbers, Treatment or clinical information (diagnoses, medications, providers, types of treatment, treatment locations)
Incident : Data Breach EIN1048072425
Data Compromised: Patient names, Dates of birth, Social security numbers, Health-related information
What types of data are most commonly compromised in incidents ?
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Patient Information, , Personal Information, Medical Information, , Patient Names, Dates Of Birth, Social Security Numbers, Health-Related Information and .
Which entities were affected by each incident ?
Incident : Phishing Attack EIN1119222
Entity Name: Einstein Healthcare Network
Entity Type: Healthcare
Industry: Healthcare
Location: Pennsylvania, USA
Incident : Data Breach EIN205925522
Entity Name: Einstein Health Network
Entity Type: Healthcare
Industry: Healthcare
Location: Pennsylvania
Incident : Data Breach EIN1048072425
Entity Name: Einstein Healthcare Network
Entity Type: Healthcare
Industry: Healthcare
Response to the Incidents
What measures were taken in response to each incident ?
Incident : Phishing Attack EIN1119222
Remediation Measures: Complimentary membership for affected patients
Data Breach Information
What type of data was compromised in each breach ?
Incident : Phishing Attack EIN1119222
Type of Data Compromised: Patient information
Sensitivity of Data: High
Personally Identifiable Information: NamesDates of birthSocial Security numbers
Incident : Data Breach EIN205925522
Type of Data Compromised: Personal information, Medical information
Sensitivity of Data: High
Incident : Data Breach EIN1048072425
Type of Data Compromised: Patient names, Dates of birth, Social security numbers, Health-related information
Sensitivity of Data: High
What measures does the company take to prevent data exfiltration ?
Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: Complimentary membership for affected patients, .
References
Where can I find more information about each incident ?
Incident : Data Breach EIN1048072425
Source: California Office of the Attorney General
Date Accessed: 2021-01-25
Where can stakeholders find additional resources on cybersecurity best practices ?
Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: California Office of the Attorney GeneralDate Accessed: 2021-01-25.
Stakeholder and Customer Advisories
Were there any advisories issued to stakeholders or customers for each incident ?
Incident : Data Breach EIN205925522
Customer Advisories: Helpline openedOne year of credit monitoring offered for patients whose Social Security Numbers were compromised
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 Helpline Opened, One Year Of Credit Monitoring Offered For Patients Whose Social Security Numbers Were Compromised and .
Initial Access Broker
How did the initial access broker gain entry for each incident ?
Incident : Phishing Attack EIN1119222
Entry Point: Email
Additional Questions
General Information
Who was the attacking group in the last incident ?
Last Attacking Group: The attacking group in the last incident was an Unauthorized Individuals.
Incident Details
What was the most recent incident detected ?
Most Recent Incident Detected: The most recent incident detected was on 2021-01-25.
What was the most recent incident publicly disclosed ?
Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on 2021-01-25.
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 Patients’ names, Dates of birth, Medical record or patient account numbers, Treatment or clinical information, Social Security numbers, , Patients' names, Dates of birth, Medical record or patient account numbers, Treatment or clinical information (diagnoses, medications, providers, types of treatment, treatment locations), , Patient Names, Dates of Birth, Social Security Numbers, Health-related Information and .
What was the most significant system affected in an incident ?
Most Significant System Affected: The most significant system affected in an incident was Email accounts.
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 Social Security Numbers, Patient Names, Health-related Information, Medical record or patient account numbers, Treatment or clinical information (diagnoses, medications, providers, types of treatment, treatment locations), Patients' names, Dates of birth, Social Security numbers, Dates of Birth, Patients’ names and Treatment or clinical information.
References
What is the most recent source of information about an incident ?
Most Recent Source: The most recent source of information about an incident is California Office of the Attorney General.
Stakeholder and Customer Advisories
What was the most recent customer advisory issued ?
Most Recent Customer Advisory: The most recent customer advisory issued was an Helpline openedOne year of credit monitoring offered for patients whose Social Security Numbers were compromised.
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 was an Email.
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Latest Global CVEs (Not Company-Specific)
Description
Angular is a development platform for building mobile and desktop web applications using TypeScript/JavaScript and other languages. Prior to versions 19.2.16, 20.3.14, and 21.0.1, there is a XSRF token leakage via protocol-relative URLs in angular HTTP clients. The vulnerability is a Credential Leak by App Logic that leads to the unauthorized disclosure of the Cross-Site Request Forgery (XSRF) token to an attacker-controlled domain. Angular's HttpClient has a built-in XSRF protection mechanism that works by checking if a request URL starts with a protocol (http:// or https://) to determine if it is cross-origin. If the URL starts with protocol-relative URL (//), it is incorrectly treated as a same-origin request, and the XSRF token is automatically added to the X-XSRF-TOKEN header. This issue has been patched in versions 19.2.16, 20.3.14, and 21.0.1. A workaround for this issue involves avoiding using protocol-relative URLs (URLs starting with //) in HttpClient requests. All backend communication URLs should be hardcoded as relative paths (starting with a single /) or fully qualified, trusted absolute URLs.
Risk Information
cvss4
Base: 7.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:N/SC:H/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
References
- https://github.com/angular/angular/commit/0276479e7d0e280e0f8d26fa567d3b7aa97a516f
- https://github.com/angular/angular/commit/05fe6686a97fa0bcd3cf157805b3612033f975bc
- https://github.com/angular/angular/commit/3240d856d942727372a705252f7c8c115394a41e
- https://github.com/angular/angular/releases/tag/19.2.16
- https://github.com/angular/angular/releases/tag/20.3.14
- https://github.com/angular/angular/releases/tag/21.0.1
- https://github.com/angular/angular/security/advisories/GHSA-58c5-g7wp-6w37
Description
Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Uncontrolled Recursion vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft deep ASN.1 structures that trigger unbounded recursive parsing. This leads to a Denial-of-Service (DoS) via stack exhaustion when parsing untrusted DER inputs. This issue has been patched in version 1.3.2.
Risk Information
cvss4
Base: 8.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/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
Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Integer Overflow vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft ASN.1 structures containing OIDs with oversized arcs. These arcs may be decoded as smaller, trusted OIDs due to 32-bit bitwise truncation, enabling the bypass of downstream OID-based security decisions. This issue has been patched in version 1.3.2.
Risk Information
cvss4
Base: 6.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:L/VA:N/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
Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. Prior to versions 7.0.13 and 8.0.2, working with large buffers in Lua scripts can lead to a stack overflow. Users of Lua rules and output scripts may be affected when working with large buffers. This includes a rule passing a large buffer to a Lua script. This issue has been patched in versions 7.0.13 and 8.0.2. A workaround for this issue involves disabling Lua rules and output scripts, or making sure limits, such as stream.depth.reassembly and HTTP response body limits (response-body-limit), are set to less than half the stack size.
Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Description
Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. In versions from 8.0.0 to before 8.0.2, a NULL dereference can occur when the entropy keyword is used in conjunction with base64_data. This issue has been patched in version 8.0.2. A workaround involves disabling rules that use entropy in conjunction with base64_data.
Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
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RapidWhat Do We Measure ?
Incident
Finding
Grade
Digital Assets
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:
Network Security
Identify exposed access points, detect misconfigured SSL certificates, and uncover vulnerabilities across the network infrastructure.
SBOM (Software Bill of Materials)
Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.
CMDB (Configuration Management Database)
Monitor and manage all IT assets and their configurations to ensure accurate, real-time visibility across the company's technology environment.
Threat Intelligence
Leverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.
Rankiteo is a unified scoring and risk platform that analyzes billions of signals weekly to help organizations gain faster, more actionable insights into emerging threats. Empowering teams to outpace adversaries and reduce exposure.
