Company Details
pro-medicus
2
592
923
promedicus.ch
0
PRO_9824936
In-progress

Pro Medicus Company CyberSecurity Posture
promedicus.chUnser Angebot: - proQura - Medizinische Fachgesellschaften - Gesundheitspolitik - Medical Education - Strategieberatung & Verhandlungsführung - Moderation
Company Details
pro-medicus
2
592
923
promedicus.ch
0
PRO_9824936
In-progress
Between 800 and 849

Pro Medicus Global Score (TPRM)XXXX



No incidents recorded for Pro Medicus in 2025.
No incidents recorded for Pro Medicus in 2025.
No incidents recorded for Pro Medicus in 2025.
Pro Medicus cyber incidents detection timeline including parent company and subsidiaries

Unser Angebot: - proQura - Medizinische Fachgesellschaften - Gesundheitspolitik - Medical Education - Strategieberatung & Verhandlungsführung - Moderation


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Long Term Solutions was founded in 1999 by two nurses and is certified by the Women’s Business Enterprise as a minority owned business. LTS offers turnkey solutions to its insurance partners in the long term care insurance industry, individuals and companies of all sizes to help their employees who
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Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
The official website of Pro Medicus is https://www.promedicus.ch/.
According to Rankiteo, Pro Medicus’s AI-generated cybersecurity score is 801, reflecting their Good security posture.
According to Rankiteo, Pro Medicus currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
According to Rankiteo, Pro Medicus is not certified under SOC 2 Type 1.
According to Rankiteo, Pro Medicus does not hold a SOC 2 Type 2 certification.
According to Rankiteo, Pro Medicus is not listed as GDPR compliant.
According to Rankiteo, Pro Medicus does not currently maintain PCI DSS compliance.
According to Rankiteo, Pro Medicus is not compliant with HIPAA regulations.
According to Rankiteo,Pro Medicus is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Pro Medicus operates primarily in the Health and Human Services industry.
Pro Medicus employs approximately 2 people worldwide.
Pro Medicus presently has no subsidiaries across any sectors.
Pro Medicus’s official LinkedIn profile has approximately 592 followers.
Pro Medicus is classified under the NAICS code 923, which corresponds to Administration of Human Resource Programs.
No, Pro Medicus does not have a profile on Crunchbase.
Yes, Pro Medicus maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/pro-medicus.
As of November 27, 2025, Rankiteo reports that Pro Medicus has not experienced any cybersecurity incidents.
Pro Medicus has an estimated 401 peer or competitor companies worldwide.
Total Incidents: According to Rankiteo, Pro Medicus has faced 0 incidents in the past.
Incident Types: The types of cybersecurity incidents that have occurred include .
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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.
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.
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.
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.
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.

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