Health Predictions
Company Details
Linkedin ID:
health-predictions
Employees number:
17
Number of followers:
170
NAICS:
923
Industry Type:
Homepage:
healthpredictions.com
IP Addresses:
0
Company ID:
HEA_4470930
Scan Status:
In-progress
Health Predictions Company CyberSecurity Posture
healthpredictions.com
Health Predictions’ life insurance services include a full range of pathology, medical exam and paramedical services. We are an industry leader, accepted by all insurance companies. Health Predictions provides home and workplace pathology and paramedical visits in all capital cities and some rural centres. General practitioner visits are available in most capital cities and specialist home or workplace visits can be arranged under special circumstances. Telephone underwriting is also available throughout Australia and New Zealand.
Health Predictions A.I CyberSecurity Scoring
Health Predictions Risk Score (AI oriented)Between 750 and 799
Health Predictions
Updated:
- Powered by our proprietary A.I cyber incident model
- Insurance preferes TPRM score to calculate premium
Health Predictions Global Score (TPRM)XXXX
Health Predictions
- Instant access to detailed risk factors
- Benchmark vs. industry & size peers
- Vulnerabilities
- Findings
Health Predictions Company CyberSecurity News & History
Past Incidents
0
Attack Types
0
No data available
Health Predictions 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 Health Predictions
Incidents vs Health and Human Services Industry Average (This Year)
No incidents recorded for Health Predictions in 2025.
Incidents vs All-Companies Average (This Year)
No incidents recorded for Health Predictions in 2025.
Incident Types Health Predictions vs Health and Human Services Industry Avg (This Year)
No incidents recorded for Health Predictions in 2025.
Incident History — Health Predictions (X = Date, Y = Severity)
Health Predictions cyber incidents detection timeline including parent company and subsidiaries
Health Predictions Company Subsidiaries
Health Predictions’ life insurance services include a full range of pathology, medical exam and paramedical services. We are an industry leader, accepted by all insurance companies. Health Predictions provides home and workplace pathology and paramedical visits in all capital cities and some rural centres. General practitioner visits are available in most capital cities and specialist home or workplace visits can be arranged under special circumstances. Telephone underwriting is also available throughout Australia and New Zealand.
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Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
Health Predictions CyberSecurity History Information
Official Website of Health Predictions
The official website of Health Predictions is https://www.healthpredictions.com.
Health Predictions’s AI-Generated Cybersecurity Score
According to Rankiteo, Health Predictions’s AI-generated cybersecurity score is 762, reflecting their Fair security posture.
How many security badges does Health Predictions’ have ?
According to Rankiteo, Health Predictions currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Does Health Predictions have SOC 2 Type 1 certification ?
According to Rankiteo, Health Predictions is not certified under SOC 2 Type 1.
Does Health Predictions have SOC 2 Type 2 certification ?
According to Rankiteo, Health Predictions does not hold a SOC 2 Type 2 certification.
Does Health Predictions comply with GDPR ?
According to Rankiteo, Health Predictions is not listed as GDPR compliant.
Does Health Predictions have PCI DSS certification ?
According to Rankiteo, Health Predictions does not currently maintain PCI DSS compliance.
Does Health Predictions comply with HIPAA ?
According to Rankiteo, Health Predictions is not compliant with HIPAA regulations.
Does Health Predictions have ISO 27001 certification ?
According to Rankiteo,Health Predictions is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of Health Predictions
Health Predictions operates primarily in the Health and Human Services industry.
Number of Employees at Health Predictions
Health Predictions employs approximately 17 people worldwide.
Subsidiaries Owned by Health Predictions
Health Predictions presently has no subsidiaries across any sectors.
Health Predictions’s LinkedIn Followers
Health Predictions’s official LinkedIn profile has approximately 170 followers.
NAICS Classification of Health Predictions
Health Predictions is classified under the NAICS code 923, which corresponds to Administration of Human Resource Programs.
Health Predictions’s Presence on Crunchbase
No, Health Predictions does not have a profile on Crunchbase.
Health Predictions’s Presence on LinkedIn
Yes, Health Predictions maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/health-predictions.
Cybersecurity Incidents Involving Health Predictions
As of November 27, 2025, Rankiteo reports that Health Predictions has not experienced any cybersecurity incidents.
Number of Peer and Competitor Companies
Health Predictions has an estimated 402 peer or competitor companies worldwide.
Health Predictions CyberSecurity History Information
How many cyber incidents has Health Predictions faced ?
Total Incidents: According to Rankiteo, Health Predictions has faced 0 incidents in the past.
What types of cybersecurity incidents have occurred at Health Predictions ?
Incident Types: The types of cybersecurity incidents that have occurred include .
Incident Details
What are the most common types of attacks the company has faced ?
Additional Questions
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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.
