NSW Police Force Company Cyber Security Posture

nsw.gov.au

The NSW Police Force is: - Australia's oldest and largest police organisation; - one of the biggest in the English speaking world; - serves a population of seven million in the state of New South Wales, an 801,600 square kilometre area; - operates on land, sea and from the air; - provides community based policing from more than 500 police stations to a wide range of ethnic communities speaking more than 30 languages;

NPF Company Details

Linkedin ID:

nsw-police-force

Employees number:

3431 employees

Number of followers:

60915.0

NAICS:

922

Industry Type:

Law Enforcement

Homepage:

nsw.gov.au

IP Addresses:

Scan still pending

Company ID:

NSW_8323084

Scan Status:

In-progress

AI scoreNPF Risk Score (AI oriented)

Between 900 and 1000

This score is AI-generated and less favored by cyber insurers, who prefer the TPRM score.

Ailogo

NSW Police Force Company Scoring based on AI Models

Model NameDateDescriptionCurrent Score DifferenceScore
AVERAGE-Industry03-12-2025

This score represents the average cybersecurity rating of companies already scanned within the same industry. It provides a benchmark to compare an individual company's security posture against its industry peers.

N/A

Between 900 and 1000

NSW Police Force Company Cyber Security News & History

Past Incidents
4
Attack Types
3
EntityTypeSeverityImpactSeenUrl IDDetailsView
NSW Office of Local GovernmentBreach100602/2022NSW234711522Link
Rankiteo Explanation :
Attack threatening the economy of a geographical region

Description: The NSW government's QR code data breach accidently exposed the regional addresses of more than 500,000 organisations including defence sites, a missile maintenance unit and domestic violence shelters The addresses collected by the NSW government including correctional facilities, critical infrastructure networks including power stations and tunnel entry sites as well as dozens of shelters and crisis accommodation centres for women across the state was also found NSW data website. The cyber experts raised the alarm to the NSW government to secure the data immediately.

NSW Department of EducationCyber Attack100507/2021NSW16403223Link
Rankiteo Explanation :
Attack threatening the organizationโ€™s existence

Description: The New South Wales (NSW) education department in Australia stated that their internal system had been a victim of a cyber attack. The department took some systems offline while conducting its investigation because protecting student and staff data is of the utmost importance. The department has reported the issue to the state's police and federal government organizations and collaborated with Cyber Security NSW to find a solution.

NSW Police ForceData Leak85308/2020NSW212518123Link
Rankiteo Explanation :
Attack with significant impact with internal employee data leaks

Description: The NSW Police leaked the emails of over 150 complainants. The Complainants contacted them in order to raise concerns regarding officersโ€™ use of force following the Sydney Black Lives Matter protest. According to section 169A of the Police Act 1990 (NSW) a member of the NSW Police Force must not disclose to any person the identity of a complainant unless the disclosure is made in accordance with guidelines established by the Commissioner, with the consent of the complainant, in a situation where it is required by law, or for the purposes of any legal proceedings before a court or tribunal. It was a complete betrayal of public trust and accountability.

Transport for NSWData Leak60302/2021TRA23379923Link
Rankiteo Explanation :
Attack with significant impact with internal employee data leaks

Description: A cyber attack on an Accellion-owned file transfer system has been identified as having an effect on Transport for New South Wales (TfNSW). Some Transport for NSW information was obtained prior to the attack on Accellion servers being stopped. According to TfNSW, the state government investigation is being managed by Cyber Security NSW with the aid of forensic experts. In order to investigate the implications of the incident, particularly how it may have affected customer data, the organisation said it is closely collaborating with Cyber Security NSW.

NSW Police Force Company Subsidiaries

SubsidiaryImage

The NSW Police Force is: - Australia's oldest and largest police organisation; - one of the biggest in the English speaking world; - serves a population of seven million in the state of New South Wales, an 801,600 square kilometre area; - operates on land, sea and from the air; - provides community based policing from more than 500 police stations to a wide range of ethnic communities speaking more than 30 languages;

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newsone

NPF Cyber Security News

2025-04-16T07:00:00.000Z
NSW Police firewall admin confronted over WeChat

NSW Police alleged that WeChat amounted to โ€œunapproved softwareโ€ and that installing it went against documented policy. The force furtherย ...

2024-12-19T08:00:00.000Z
NSW Police Partners With ID Support NSW to Fight Identity Crime

ID Support NSW, within Cyber Security NSW, helps people restore their stolen or misused identity documents and shares free resources and toolsย ...

2025-03-26T07:00:00.000Z
NSW Police investigating โ€˜significantโ€™ Department of Communities and Justice data breach

Police warn that around 9,000 โ€œsensitive court filesโ€ have been accessed, including AVOs and court affidavits.

2025-03-27T07:00:00.000Z
Cybercrime detectives investigating breach to NSW Online Registry website

The NSW Police State Crime Command's Cybercrime Squad (Cybercrime Squad) is investigating a significant data breach involving the Department ofย ...

2025-03-27T07:00:00.000Z
New details after 9000 court docs leaked

Cybercrime detectives are investigating the breach involving the Department of Communities and Justice (DCJ) that was identified on Tuesday.

2025-03-26T07:00:00.000Z
Identity of hacker behind NSW court website data breach unknown, police say

NSW Police say they do not know who is behind a data breach affecting the Department of Communities and Justice.

2024-09-12T07:00:00.000Z
CyberCX experts track 'fugitives' in 3rd season of Hunted

For the uninitiated, the basic premise of Hunted sees pairs of 'fugitives' attempt to evade capture for 21 days for a share in the prize money,ย ...

2024-12-19T08:00:00.000Z
NSW Police streamlines data-sharing with ID Support

NSW Police is to improve data-sharing with the state's identity recovery unit, ID Support NSW, as part of a new agreement,.

2021-02-22T08:00:00.000Z
NSW Police Open Digital Forensics Lab for Cybercrime Investigators HS Today

The New South Wales (NSW) Police Force in Australia has unveiled a digital forensics facility for Cybercrime Squad investigators.

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faq

Frequently Asked Questions (FAQ) on Cybersecurity Incidents

NPF CyberSecurity History Information

Total Incidents: According to Rankiteo, NPF has faced 4 incidents in the past.

Incident Types: The types of cybersecurity incidents that have occurred include ['Cyber Attack', 'Breach', 'Data Leak'].

Total Financial Loss: The total financial loss from these incidents is estimated to be {total_financial_loss}.

Cybersecurity Posture: The company's overall cybersecurity posture is described as The NSW Police Force is: - Australia's oldest and largest police organisation; - one of the biggest in the English speaking world; - serves a population of seven million in the state of New South Wales, an 801,600 square kilometre area; - operates on land, sea and from the air; - provides community based policing from more than 500 police stations to a wide range of ethnic communities speaking more than 30 languages;.

Detection and Response: The company detects and responds to cybersecurity incidents through {description_of_detection_and_response_process}.

Incident Details

Incident 1: Ransomware Attack

Title: {Incident_Title}

Description: {Brief_description_of_the_incident}

Date Detected: {Detection_Date}

Date Publicly Disclosed: {Disclosure_Date}

Date Resolved: {Resolution_Date}

Type: {Type_of_Attack}

Attack Vector: {Attack_Vector}

Vulnerability Exploited: {Vulnerability}

Threat Actor: {Threat_Actor}

Motivation: {Motivation}

Incident 2: Data Breach

Title: {Incident_Title}

Description: {Brief_description_of_the_incident}

Date Detected: {Detection_Date}

Date Publicly Disclosed: {Disclosure_Date}

Date Resolved: {Resolution_Date}

Type: {Type_of_Attack}

Attack Vector: {Attack_Vector}

Vulnerability Exploited: {Vulnerability}

Threat Actor: {Threat_Actor}

Motivation: {Motivation}

Common Attack Types: The most common types of attacks the company has faced are ['Data Leak'].

Identification of Attack Vectors: The company identifies the attack vectors used in incidents through {description_of_identification_process}.

Impact of the Incidents

Incident 1: Ransomware Attack

Financial Loss: {Financial_Loss}

Data Compromised: {Data_Compromised}

Systems Affected: {Systems_Affected}

Downtime: {Downtime}

Operational Impact: {Operational_Impact}

Conversion Rate Impact: {Conversion_Rate_Impact}

Revenue Loss: {Revenue_Loss}

Customer Complaints: {Customer_Complaints}

Brand Reputation Impact: {Brand_Reputation_Impact}

Legal Liabilities: {Legal_Liabilities}

Identity Theft Risk: {Identity_Theft_Risk}

Payment Information Risk: {Payment_Information_Risk}

Incident 2: Data Breach

Financial Loss: {Financial_Loss}

Data Compromised: {Data_Compromised}

Systems Affected: {Systems_Affected}

Downtime: {Downtime}

Operational Impact: {Operational_Impact}

Conversion Rate Impact: {Conversion_Rate_Impact}

Revenue Loss: {Revenue_Loss}

Customer Complaints: {Customer_Complaints}

Brand Reputation Impact: {Brand_Reputation_Impact}

Legal Liabilities: {Legal_Liabilities}

Identity Theft Risk: {Identity_Theft_Risk}

Payment Information Risk: {Payment_Information_Risk}

Average Financial Loss: The average financial loss per incident is {average_financial_loss}.

Commonly Compromised Data Types: The types of data most commonly compromised in incidents are {list_of_commonly_compromised_data_types}.

Incident 1: Ransomware Attack

Entity Name: {Entity_Name}

Entity Type: {Entity_Type}

Industry: {Industry}

Location: {Location}

Size: {Size}

Customers Affected: {Customers_Affected}

Incident 2: Data Breach

Entity Name: {Entity_Name}

Entity Type: {Entity_Type}

Industry: {Industry}

Location: {Location}

Size: {Size}

Customers Affected: {Customers_Affected}

Response to the Incidents

Incident 1: Ransomware Attack

Incident Response Plan Activated: {Yes/No}

Third Party Assistance: {Yes/No}

Law Enforcement Notified: {Yes/No}

Containment Measures: {Containment_Measures}

Remediation Measures: {Remediation_Measures}

Recovery Measures: {Recovery_Measures}

Communication Strategy: {Communication_Strategy}

Adaptive Behavioral WAF: {Adaptive_Behavioral_WAF}

On-Demand Scrubbing Services: {On_Demand_Scrubbing_Services}

Network Segmentation: {Network_Segmentation}

Enhanced Monitoring: {Enhanced_Monitoring}

Incident 2: Data Breach

Incident Response Plan Activated: {Yes/No}

Third Party Assistance: {Yes/No}

Law Enforcement Notified: {Yes/No}

Containment Measures: {Containment_Measures}

Remediation Measures: {Remediation_Measures}

Recovery Measures: {Recovery_Measures}

Communication Strategy: {Communication_Strategy}

Adaptive Behavioral WAF: {Adaptive_Behavioral_WAF}

On-Demand Scrubbing Services: {On_Demand_Scrubbing_Services}

Network Segmentation: {Network_Segmentation}

Enhanced Monitoring: {Enhanced_Monitoring}

Incident Response Plan: The company's incident response plan is described as {description_of_incident_response_plan}.

Third-Party Assistance: The company involves third-party assistance in incident response through {description_of_third_party_involvement}.

Data Breach Information

Incident 2: Data Breach

Type of Data Compromised: {Type_of_Data}

Number of Records Exposed: {Number_of_Records}

Sensitivity of Data: {Sensitivity_of_Data}

Data Exfiltration: {Yes/No}

Data Encryption: {Yes/No}

File Types Exposed: {File_Types}

Personally Identifiable Information: {Yes/No}

Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: {description_of_prevention_measures}.

Handling of PII Incidents: The company handles incidents involving personally identifiable information (PII) through {description_of_handling_process}.

Ransomware Information

Incident 1: Ransomware Attack

Ransom Demanded: {Ransom_Amount}

Ransom Paid: {Ransom_Paid}

Ransomware Strain: {Ransomware_Strain}

Data Encryption: {Yes/No}

Data Exfiltration: {Yes/No}

Ransom Payment Policy: The company's policy on paying ransoms in ransomware incidents is described as {description_of_ransom_payment_policy}.

Data Recovery from Ransomware: The company recovers data encrypted by ransomware through {description_of_data_recovery_process}.

Regulatory Compliance

Ransomware Logo

Incident 1: Ransomware Attack

Regulations Violated: {Regulations_Violated}

Fines Imposed: {Fines_Imposed}

Legal Actions: {Legal_Actions}

Regulatory Notifications: {Regulatory_Notifications}

Data Breach Logo

Incident 2: Data Breach

Regulations Violated: {Regulations_Violated}

Fines Imposed: {Fines_Imposed}

Legal Actions: {Legal_Actions}

Regulatory Notifications: {Regulatory_Notifications}

Regulatory Frameworks: The company complies with the following regulatory frameworks regarding cybersecurity: {list_of_regulatory_frameworks}.

Ensuring Regulatory Compliance: The company ensures compliance with regulatory requirements through {description_of_compliance_measures}.

Lessons Learned and Recommendations

Incident 1: Ransomware Attack

Lessons Learned: {Lessons_Learned}

Incident 2: Data Breach

Lessons Learned: {Lessons_Learned}

Incident 1: Ransomware Attack

Recommendations: {Recommendations}

Incident 2: Data Breach

Recommendations: {Recommendations}

Key Lessons Learned: The key lessons learned from past incidents are {list_of_key_lessons_learned}.

Implemented Recommendations: The company has implemented the following recommendations to improve cybersecurity: {list_of_implemented_recommendations}.

References

Incident 1: Ransomware Attack

Source: {Source}

URL: {URL}

Date Accessed: {Date_Accessed}

Incident 2: Data Breach

Source: {Source}

URL: {URL}

Date Accessed: {Date_Accessed}

Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at {list_of_additional_resources}.

Investigation Status

Incident 1: Ransomware Attack

Investigation Status: {Investigation_Status}

Incident 2: Data Breach

Investigation Status: {Investigation_Status}

Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through {description_of_communication_process}.

Stakeholder and Customer Advisories

Incident 1: Ransomware Attack

Stakeholder Advisories: {Stakeholder_Advisories}

Customer Advisories: {Customer_Advisories}


Incident 2: Data Breach

Stakeholder Advisories: {Stakeholder_Advisories}

Customer Advisories: {Customer_Advisories}

Advisories Provided: The company provides the following advisories to stakeholders and customers following an incident: {description_of_advisories_provided}.

Initial Access Broker

Incident 1: Ransomware Attack

Entry Point: {Entry_Point}

Reconnaissance Period: {Reconnaissance_Period}

Backdoors Established: {Backdoors_Established}

High Value Targets: {High_Value_Targets}

Data Sold on Dark Web: {Yes/No}

Incident 2: Data Breach

Entry Point: {Entry_Point}

Reconnaissance Period: {Reconnaissance_Period}

Backdoors Established: {Backdoors_Established}

High Value Targets: {High_Value_Targets}

Data Sold on Dark Web: {Yes/No}

Monitoring and Mitigation of Initial Access Brokers: The company monitors and mitigates the activities of initial access brokers through {description_of_monitoring_and_mitigation_measures}.

Post-Incident Analysis

Incident 1: Ransomware Attack

Root Causes: {Root_Causes}

Corrective Actions: {Corrective_Actions}

Incident 2: Data Breach

Root Causes: {Root_Causes}

Corrective Actions: {Corrective_Actions}

Post-Incident Analysis Process: The company's process for conducting post-incident analysis is described as {description_of_post_incident_analysis_process}.

Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: {list_of_corrective_actions_taken}.

Additional Questions

General Information

Ransom Payment History: The company has {paid/not_paid} ransoms in the past.

Last Ransom Demanded: The amount of the last ransom demanded was {last_ransom_amount}.

Last Attacking Group: The attacking group in the last incident was {last_attacking_group}.

Incident Details

Most Recent Incident Detected: The most recent incident detected was on {most_recent_incident_detected_date}.

Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on {most_recent_incident_publicly_disclosed_date}.

Most Recent Incident Resolved: The most recent incident resolved was on {most_recent_incident_resolved_date}.

Impact of the Incidents

Highest Financial Loss: The highest financial loss from an incident was {highest_financial_loss}.

Most Significant Data Compromised: The most significant data compromised in an incident was {most_significant_data_compromised}.

Most Significant System Affected: The most significant system affected in an incident was {most_significant_system_affected}.

Response to the Incidents

Third-Party Assistance in Most Recent Incident: The third-party assistance involved in the most recent incident was {third_party_assistance_in_most_recent_incident}.

Containment Measures in Most Recent Incident: The containment measures taken in the most recent incident were {containment_measures_in_most_recent_incident}.

Data Breach Information

Most Sensitive Data Compromised: The most sensitive data compromised in a breach was {most_sensitive_data_compromised}.

Number of Records Exposed: The number of records exposed in the most significant breach was {number_of_records_exposed}.

Ransomware Information

Highest Ransom Demanded: The highest ransom demanded in a ransomware incident was {highest_ransom_demanded}.

Highest Ransom Paid: The highest ransom paid in a ransomware incident was {highest_ransom_paid}.

Regulatory Compliance

Highest Fine Imposed: The highest fine imposed for a regulatory violation was {highest_fine_imposed}.

Most Significant Legal Action: The most significant legal action taken for a regulatory violation was {most_significant_legal_action}.

Lessons Learned and Recommendations

Most Significant Lesson Learned: The most significant lesson learned from past incidents was {most_significant_lesson_learned}.

Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was {most_significant_recommendation_implemented}.

References

Most Recent Source: The most recent source of information about an incident is {most_recent_source}.

Most Recent URL for Additional Resources: The most recent URL for additional resources on cybersecurity best practices is {most_recent_url}.

Investigation Status

Current Status of Most Recent Investigation: The current status of the most recent investigation is {current_status_of_most_recent_investigation}.

Stakeholder and Customer Advisories

Most Recent Stakeholder Advisory: The most recent stakeholder advisory issued was {most_recent_stakeholder_advisory}.

Most Recent Customer Advisory: The most recent customer advisory issued was {most_recent_customer_advisory}.

Initial Access Broker

Most Recent Entry Point: The most recent entry point used by an initial access broker was {most_recent_entry_point}.

Most Recent Reconnaissance Period: The most recent reconnaissance period for an incident was {most_recent_reconnaissance_period}.

Post-Incident Analysis

Most Significant Root Cause: The most significant root cause identified in post-incident analysis was {most_significant_root_cause}.

Most Significant Corrective Action: The most significant corrective action taken based on post-incident analysis was {most_significant_corrective_action}.

What Do We Measure?

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Incident
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Finding
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Grade
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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.

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