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Support for the development of the Judiciary in Kosovo

NCSC A.I CyberSecurity Scoring

NCSC

Company Details

Linkedin ID:

ncsc

Employees number:

124

Number of followers:

984

NAICS:

92211

Industry Type:

Administration of Justice

Homepage:

drejtesia-ks.org

IP Addresses:

0

Company ID:

NCS_3372522

Scan Status:

In-progress

AI scoreNCSC Risk Score (AI oriented)

Between 750 and 799

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NCSC Administration of Justice
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globalscoreNCSC Global Score (TPRM)

XXXX

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NCSC Administration of Justice
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NCSC Company CyberSecurity News & History

Past Incidents
1
Attack Types
1
EntityTypeSeverityImpactSeenBlog DetailsIncident DetailsView
NCSC warns AI prompt injection could drive huge UK data breachesVulnerability85412/2025
Rankiteo Explanation :
Attack with significant impact with customers data leaks

Description: The National Cyber Security Centre has warned that a growing misunderstanding about a new type of artificial intelligence vulnerability could lead to major data breaches affecting UK organisations. The security agency said many developers and cyber professionals were drawing the wrong parallels between so‑called prompt injection attacks in generative AI systems and the long‑established problem of SQL injection in traditional web applications. Prompt injection involves malicious instructions that influence how a large language model behaves. SQL injection involves malicious database queries that exploit flaws in how applications handle user input. The NCSC said these two attack types differ in important ways. It said those differences affect how organisations should manage the risk. In new guidance, the centre said prompt injection attacks against systems built on large language models may not be fully preventable. It contrasted this with SQL injection, which software engineers can often block through strict separation of data and instructions and careful query handling. The NCSC said that large language models do not reliably separate instructions from data. It said attackers can exploit this behaviour by embedding instructions inside content that looks like ordinary text. The organisation warned that a belief that prompt injection can be solved through a single technical fix could leave systems exposed. It said this view could repeat earlier periods when firms underest

NCSC warns AI prompt injection could drive huge UK data breaches
Vulnerability
Severity: 85
Impact: 4
Seen: 12/2025
Blog:
Rankiteo Explanation
Attack with significant impact with customers data leaks

Description: The National Cyber Security Centre has warned that a growing misunderstanding about a new type of artificial intelligence vulnerability could lead to major data breaches affecting UK organisations. The security agency said many developers and cyber professionals were drawing the wrong parallels between so‑called prompt injection attacks in generative AI systems and the long‑established problem of SQL injection in traditional web applications. Prompt injection involves malicious instructions that influence how a large language model behaves. SQL injection involves malicious database queries that exploit flaws in how applications handle user input. The NCSC said these two attack types differ in important ways. It said those differences affect how organisations should manage the risk. In new guidance, the centre said prompt injection attacks against systems built on large language models may not be fully preventable. It contrasted this with SQL injection, which software engineers can often block through strict separation of data and instructions and careful query handling. The NCSC said that large language models do not reliably separate instructions from data. It said attackers can exploit this behaviour by embedding instructions inside content that looks like ordinary text. The organisation warned that a belief that prompt injection can be solved through a single technical fix could leave systems exposed. It said this view could repeat earlier periods when firms underest

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NCSC Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

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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 NCSC

Incidents vs Administration of Justice Industry Average (This Year)

NCSC has 66.67% more incidents than the average of same-industry companies with at least one recorded incident.

Incidents vs All-Companies Average (This Year)

NCSC has 53.85% more incidents than the average of all companies with at least one recorded incident.

Incident Types NCSC vs Administration of Justice Industry Avg (This Year)

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

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

NCSC cyber incidents detection timeline including parent company and subsidiaries

NCSC Company Subsidiaries

SubsidiaryImage

Support for the development of the Judiciary in Kosovo

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NCSC CyberSecurity News

December 08, 2025 01:42 PM
NCSC warns AI prompt injection could drive huge UK data breaches

The National Cyber Security Centre has warned that a growing misunderstanding about a new type of artificial intelligence vulnerability...

December 08, 2025 01:17 PM
UK intelligence warns AI 'prompt injection' attacks might never go away

A top technologist at the U.K.'s National Cyber Security Centre said “there's a good chance” that prompt injection attacks against AI will...

December 08, 2025 12:38 PM
NCSC Warns of LLM Prompt Injection Vulnerabilities

NCSC has cautioned cybersecurity professionals against comparing prompt injection and application vulnerabilities like SQL injection.

December 08, 2025 11:00 AM
Mark43 UK Achieves Cyber Essentials and Cyber Essentials Plus Certifications, Strengthening Security and Trust for Forces

Mark43, the leading public safety operations platform, today announced it has achieved both Cyber Essentials and Cyber Essentials Plus...

December 08, 2025 09:51 AM
Prompt injection is not SQL injection (it may be worse)

There are crucial differences between prompt and SQL injection which – if not considered – can undermine mitigations.

December 08, 2025 08:01 AM
UK launches new service to warn businesses when their systems are at risk

The National Cyber Security Centre (NCSC), the United Kingdom's cybersecurity agency, has announced its Proactive Notifications Service,...

December 05, 2025 02:12 PM
NCSC New Proactive Notifications Service Reports Vulnerabilities to System Owners

The National Cyber Security Centre (NCSC) has unveiled a new pilot program designed to help organizations identify and fix security...

December 05, 2025 10:30 AM
NCSC Launches Proactive Notification Service to Alert System Owners of Vulnerabilities

The UK's National Cyber Security Centre (NCSC) has introduced a new initiative designed to protect organisations from cyber threats.

December 04, 2025 10:21 PM
NCSC's ‘Proactive Notifications’ warns orgs of flaws in exposed devices

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faq

Frequently Asked Questions

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

NCSC CyberSecurity History Information

Official Website of NCSC

The official website of NCSC is http://www.drejtesia-ks.org.

NCSC’s AI-Generated Cybersecurity Score

According to Rankiteo, NCSC’s AI-generated cybersecurity score is 750, reflecting their Fair security posture.

How many security badges does NCSC’ have ?

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

Does NCSC have SOC 2 Type 1 certification ?

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

Does NCSC have SOC 2 Type 2 certification ?

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

Does NCSC comply with GDPR ?

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

Does NCSC have PCI DSS certification ?

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

Does NCSC comply with HIPAA ?

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

Does NCSC have ISO 27001 certification ?

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

Industry Classification of NCSC

NCSC operates primarily in the Administration of Justice industry.

Number of Employees at NCSC

NCSC employs approximately 124 people worldwide.

Subsidiaries Owned by NCSC

NCSC presently has no subsidiaries across any sectors.

NCSC’s LinkedIn Followers

NCSC’s official LinkedIn profile has approximately 984 followers.

NAICS Classification of NCSC

NCSC is classified under the NAICS code 92211, which corresponds to Courts.

NCSC’s Presence on Crunchbase

No, NCSC does not have a profile on Crunchbase.

NCSC’s Presence on LinkedIn

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

Cybersecurity Incidents Involving NCSC

As of December 08, 2025, Rankiteo reports that NCSC has experienced 1 cybersecurity incidents.

Number of Peer and Competitor Companies

NCSC has an estimated 330 peer or competitor companies worldwide.

What types of cybersecurity incidents have occurred at NCSC ?

Incident Types: The types of cybersecurity incidents that have occurred include Vulnerability.

How does NCSC detect and respond to cybersecurity incidents ?

Detection and Response: The company detects and responds to cybersecurity incidents through an communication strategy with ncsc guidance on prompt injection risks..

Incident Details

Can you provide details on each incident ?

Incident : AI Vulnerability Misunderstanding

Title: Misunderstanding of Prompt Injection Vulnerabilities Leading to Potential Data Breaches

Description: The National Cyber Security Centre (NCSC) has warned that a growing misunderstanding about prompt injection attacks in generative AI systems could lead to major data breaches affecting UK organisations. The NCSC highlighted that developers and cyber professionals are incorrectly comparing prompt injection to SQL injection, which may result in inadequate risk management. Prompt injection involves malicious instructions influencing large language models, unlike SQL injection, which exploits database query flaws. The NCSC noted that prompt injection may not be fully preventable due to the inability of large language models to reliably separate instructions from data.

Type: AI Vulnerability Misunderstanding

Attack Vector: Prompt Injection

Vulnerability Exploited: Lack of separation between instructions and data in large language models

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 Vulnerability.

Impact of the Incidents

What was the impact of each incident ?

Incident : AI Vulnerability Misunderstanding NCS1765202704

Data Compromised: Potential major data breaches

Systems Affected: Generative AI systems, large language models

Operational Impact: Inadequate risk management leading to system exposure

Which entities were affected by each incident ?

Incident : AI Vulnerability Misunderstanding NCS1765202704

Entity Name: UK organisations

Entity Type: Organisations

Location: United Kingdom

Response to the Incidents

What measures were taken in response to each incident ?

Incident : AI Vulnerability Misunderstanding NCS1765202704

Communication Strategy: NCSC guidance on prompt injection risks

Lessons Learned and Recommendations

What lessons were learned from each incident ?

Incident : AI Vulnerability Misunderstanding NCS1765202704

Lessons Learned: Prompt injection attacks differ from SQL injection and may not be fully preventable. Organisations must understand these differences to manage risks effectively.

What recommendations were made to prevent future incidents ?

Incident : AI Vulnerability Misunderstanding NCS1765202704

Recommendations: Avoid relying on a single technical fix for prompt injection. Implement comprehensive risk management strategies for generative AI systems.

What are the key lessons learned from past incidents ?

Key Lessons Learned: The key lessons learned from past incidents are Prompt injection attacks differ from SQL injection and may not be fully preventable. Organisations must understand these differences to manage risks effectively.

What recommendations has the company implemented to improve cybersecurity ?

Implemented Recommendations: The company has implemented the following recommendations to improve cybersecurity: Avoid relying on a single technical fix for prompt injection. Implement comprehensive risk management strategies for generative AI systems..

References

Where can I find more information about each incident ?

Incident : AI Vulnerability Misunderstanding NCS1765202704

Source: National Cyber Security Centre (NCSC)

Where can stakeholders find additional resources on cybersecurity best practices ?

Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: National Cyber Security Centre (NCSC).

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 NCSC guidance on prompt injection risks.

Stakeholder and Customer Advisories

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

Incident : AI Vulnerability Misunderstanding NCS1765202704

Stakeholder Advisories: NCSC guidance on prompt injection risks and differences from SQL injection.

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: was NCSC guidance on prompt injection risks and differences from SQL injection..

Post-Incident Analysis

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

Incident : AI Vulnerability Misunderstanding NCS1765202704

Root Causes: Misunderstanding of prompt injection vulnerabilities and incorrect parallels drawn with SQL injection.

Corrective Actions: Educate developers and cyber professionals on the differences between prompt injection and SQL injection. Develop robust risk management strategies for generative AI systems.

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: Educate developers and cyber professionals on the differences between prompt injection and SQL injection. Develop robust risk management strategies for generative AI systems..

Additional Questions

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 was Potential major data breaches.

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 was Potential major data breaches.

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 Prompt injection attacks differ from SQL injection and may not be fully preventable. Organisations must understand these differences to manage risks effectively.

What was the most significant recommendation implemented to improve cybersecurity ?

Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was Avoid relying on a single technical fix for prompt injection. Implement comprehensive risk management strategies for generative AI systems..

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 National Cyber Security Centre (NCSC).

Stakeholder and Customer Advisories

What was the most recent stakeholder advisory issued ?

Most Recent Stakeholder Advisory: The most recent stakeholder advisory issued was NCSC guidance on prompt injection risks and differences from SQL injection., .

cve

Latest Global CVEs (Not Company-Specific)

Description

A vulnerability has been found in TykoDev cherry-studio-TykoFork 0.1. This issue affects the function redirectToAuthorization of the file /.well-known/oauth-authorization-server of the component OAuth Server Discovery. Such manipulation of the argument authorizationUrl leads to os command injection. The attack can be executed remotely. The exploit has been disclosed to the public and may be used.

Risk Information
cvss2
Base: 6.5
Severity: LOW
AV:N/AC:L/Au:S/C:P/I:P/A:P
cvss3
Base: 6.3
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
cvss4
Base: 5.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/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

A flaw has been found in code-projects Question Paper Generator up to 1.0. This vulnerability affects unknown code of the file /selectquestionuser.php. This manipulation of the argument subid causes sql injection. Remote exploitation of the attack is possible. The exploit has been published and may be used.

Risk Information
cvss2
Base: 6.5
Severity: LOW
AV:N/AC:L/Au:S/C:P/I:P/A:P
cvss3
Base: 6.3
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
cvss4
Base: 5.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/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

A vulnerability was found in alokjaiswal Hotel-Management-services-using-MYSQL-and-php up to 5f8b60a7aa6c06a5632de569d4e3f6a8cd82f76f. Affected by this vulnerability is an unknown functionality of the file /dishsub.php. The manipulation of the argument item.name results in cross site scripting. It is possible to launch the attack remotely. The exploit has been made public and could be used. This product takes the approach of rolling releases to provide continious delivery. Therefore, version details for affected and updated releases are not available. The vendor was contacted early about this disclosure but did not respond in any way.

Risk Information
cvss2
Base: 3.3
Severity: LOW
AV:N/AC:L/Au:M/C:N/I:P/A:N
cvss3
Base: 2.4
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:U/C:N/I:L/A:N
cvss4
Base: 4.8
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:P/VC:N/VI:L/VA:N/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

A vulnerability has been found in alokjaiswal Hotel-Management-services-using-MYSQL-and-php up to 5f8b60a7aa6c06a5632de569d4e3f6a8cd82f76f. Affected is an unknown function of the file /usersub.php of the component Request Pending Page. The manipulation leads to cross site scripting. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available. The vendor was contacted early about this disclosure but did not respond in any way.

Risk Information
cvss2
Base: 4.0
Severity: LOW
AV:N/AC:L/Au:S/C:N/I:P/A:N
cvss3
Base: 3.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:N/I:L/A:N
cvss4
Base: 5.1
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:N/VI:L/VA:N/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

A flaw has been found in Verysync 微力同步 up to 2.21.3. This impacts an unknown function of the file /rest/f/api/resources/f96956469e7be39d/tmp/text.txt?override=false of the component Web Administration Module. Executing manipulation can lead to unrestricted upload. The attack may be performed from remote. The exploit has been published and may be used. The vendor was contacted early about this disclosure but did not respond in any way.

Risk Information
cvss2
Base: 6.5
Severity: LOW
AV:N/AC:L/Au:S/C:P/I:P/A:P
cvss3
Base: 6.3
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
cvss4
Base: 5.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/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

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What Do We Measure ?

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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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