AI-NOMIS
Company Details
Linkedin ID:
nomis-ai
Website:
Employees number:
2
Number of followers:
21
NAICS:
5415
Industry Type:
Homepage:
ai-nomis.com
IP Addresses:
0
Company ID:
AI-_5066736
Scan Status:
In-progress
AI-NOMIS Company CyberSecurity Posture
ai-nomis.com
Empower Your Business with AI Let AI-NOMIS Be Your Guide! Welcome to AI-NOMIS, AI-NOMIS strives to brighten the future through advancements in AI technology, aiming to create an environment where every individual and company can realize the potential of AI. This embodies the democratization of AI development. We aim to establish a user-friendly AI development environment that surpasses the limitations of traditional hard-coding techniques, offering the opportunity to bring creative ideas to life through no-code AI solutions. Our vision is to democratize AI technology, bridging the gap for individuals and organizations, regardless of size or domain. We envision a world where AI, intuitive and accessible, serves as a catalyst for innovation in every corner of society. <About Us> Our vision is to democratize AI technology, bridging the gap for individuals and organizations, regardless of size or domain. We envision a world where AI, intuitive and accessible, serves as a catalyst for innovation in every corner of society. Our commitment lies in crafting AI solutions that are not just at the forefront of technology but are also inherently user-friendly, making the promise of AI a reality for all. <What We Offer> Customized AI Training: Based on the provided data, we fine-tune the LLM, TTS, STF, and STT models to create tailored AI models. Corporate GPT Development: Developing corporate GPTs based on domain-specific GPTs, such as beauty and law, ensuring a secure environment without the risk of information leakage. User-specific AI Development: Customizing AI solutions to cater to specific user needs and preferences. Unbeatable Deals: Thanks to our NOCODING AI technology, we develop AI much Faster and Affordable! we ensure your AI solution will be tailored to your specific needs and crafted in the most cost-effective manner. Also we offer you 1 year of Free Server. 🔗 Contact us to Empower your startup with AI: AI-NOMIS
AI-NOMIS A.I CyberSecurity Scoring
AI-NOMIS Risk Score (AI oriented)Between 700 and 749
AI-NOMIS
Updated:
- Powered by our proprietary A.I cyber incident model
- Insurance preferes TPRM score to calculate premium
AI-NOMIS Global Score (TPRM)XXXX
AI-NOMIS
- Instant access to detailed risk factors
- Benchmark vs. industry & size peers
- Vulnerabilities
- Findings
AI-NOMIS Company CyberSecurity News & History
Past Incidents
1
Attack Types
1
AI-NOMIS
Breach
Rankiteo Explanation
Attack with significant impact with customers data leaks
Description: AI-NOMIS, a South Korean AI firm, experienced a major data leak through its GenNomis platform, resulting in 47.8 gigabytes of data exposure, including explicit AI-generated images and JSON files. Among the leaked content were deeply concerning images depicting individuals who appeared to be minors and celebrities in explicit contexts. The exploited vulnerability led to potential risks of extortion, reputation damage, and the unauthorized creation of pornographic deepfakes, sparking significant privacy and ethical issues around AI-generated content.
AI-NOMIS 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 AI-NOMIS
Incidents vs IT Services and IT Consulting Industry Average (This Year)
AI-NOMIS has 81.82% more incidents than the average of same-industry companies with at least one recorded incident.
Incidents vs All-Companies Average (This Year)
AI-NOMIS has 56.25% more incidents than the average of all companies with at least one recorded incident.
Incident Types AI-NOMIS vs IT Services and IT Consulting Industry Avg (This Year)
AI-NOMIS reported 1 incidents this year: 0 cyber attacks, 0 ransomware, 0 vulnerabilities, 1 data breaches, compared to industry peers with at least 1 incident.
Incident History — AI-NOMIS (X = Date, Y = Severity)
AI-NOMIS cyber incidents detection timeline including parent company and subsidiaries
AI-NOMIS Company Subsidiaries
Empower Your Business with AI Let AI-NOMIS Be Your Guide! Welcome to AI-NOMIS, AI-NOMIS strives to brighten the future through advancements in AI technology, aiming to create an environment where every individual and company can realize the potential of AI. This embodies the democratization of AI development. We aim to establish a user-friendly AI development environment that surpasses the limitations of traditional hard-coding techniques, offering the opportunity to bring creative ideas to life through no-code AI solutions. Our vision is to democratize AI technology, bridging the gap for individuals and organizations, regardless of size or domain. We envision a world where AI, intuitive and accessible, serves as a catalyst for innovation in every corner of society. <About Us> Our vision is to democratize AI technology, bridging the gap for individuals and organizations, regardless of size or domain. We envision a world where AI, intuitive and accessible, serves as a catalyst for innovation in every corner of society. Our commitment lies in crafting AI solutions that are not just at the forefront of technology but are also inherently user-friendly, making the promise of AI a reality for all. <What We Offer> Customized AI Training: Based on the provided data, we fine-tune the LLM, TTS, STF, and STT models to create tailored AI models. Corporate GPT Development: Developing corporate GPTs based on domain-specific GPTs, such as beauty and law, ensuring a secure environment without the risk of information leakage. User-specific AI Development: Customizing AI solutions to cater to specific user needs and preferences. Unbeatable Deals: Thanks to our NOCODING AI technology, we develop AI much Faster and Affordable! we ensure your AI solution will be tailored to your specific needs and crafted in the most cost-effective manner. Also we offer you 1 year of Free Server. 🔗 Contact us to Empower your startup with AI: AI-NOMIS
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AI-NOMIS CyberSecurity News
April 06, 2025 07:00 AM
AI Startup Deletes Entire Website After Researcher Finds Something Disgusting There
A cybersecurity researcher's shocking discovery has uncovered a rampant trove of deepfakes, highlighting the need for more AI regulation.
April 04, 2025 07:00 AM
Massive trove of underage deepfakes leaked by misconfigured GenNomis database
South Korean artificial intelligence firm AI-NOMIS had 47.8 GB of data with 93485 explicit AI-generated images depicting underage...
April 04, 2025 07:00 AM
Underage Deepfakes Exposed: GenNomis Database Leaks 47GB Data
A serious data breach at AI-NOMIS exposes explicit AI-generated images of minors. Discover the implications and security measures needed to...
April 03, 2025 07:00 AM
AI Image Site GenNomis Exposed 47GB of Underage Deepfakes
Cybersecurity researcher Jeremiah Fowler uncovers a massive 47.8GB database with disturbing AI-generated content belonging to GenNomis.
April 02, 2025 07:00 AM
AI Image Leak: Explicit Deepfake Content Discovered In Open Database
A non-password-protected database that contained just under 100k records belonging to GenNomis by AI-NOMIS —was discovered by cybersecurity...
April 01, 2025 07:00 AM
GenAI website goes dark after explicit fakes exposed
Jeremiah Fowler, an Indiana Jones of insecure systems, says he found a trove of sexually explicit AI-generated images exposed to the public internet.
April 01, 2025 07:00 AM
Thousands Of AI-Generated and Deepfake Images Exposed in Unprotected Database Online
There's no telling what one may stumble upon when scouring the web. Recently, cybersecurity researcher Jeremiah Fowler uncovered a database...
March 31, 2025 07:00 AM
GenNomis database exposes 100K sensitive records of AI images
Cybersecurity researcher Jeremiah Fowler discovered an unsecured database belonging to GenNomis by AI-NOMIS, a South Korean AI company.
March 31, 2025 07:00 AM
Thousands of AI & DeepFake Images Exposed on Nudify Service Data Breach
Cybersecurity Researcher, Jeremiah Fowler, discovered and reported to vpnMentor about a non-password-protected database that contained just...
Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
AI-NOMIS CyberSecurity History Information
Official Website of AI-NOMIS
The official website of AI-NOMIS is https://www.ai-nomis.com.
AI-NOMIS’s AI-Generated Cybersecurity Score
According to Rankiteo, AI-NOMIS’s AI-generated cybersecurity score is 700, reflecting their Moderate security posture.
How many security badges does AI-NOMIS’ have ?
According to Rankiteo, AI-NOMIS currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Does AI-NOMIS have SOC 2 Type 1 certification ?
According to Rankiteo, AI-NOMIS is not certified under SOC 2 Type 1.
Does AI-NOMIS have SOC 2 Type 2 certification ?
According to Rankiteo, AI-NOMIS does not hold a SOC 2 Type 2 certification.
Does AI-NOMIS comply with GDPR ?
According to Rankiteo, AI-NOMIS is not listed as GDPR compliant.
Does AI-NOMIS have PCI DSS certification ?
According to Rankiteo, AI-NOMIS does not currently maintain PCI DSS compliance.
Does AI-NOMIS comply with HIPAA ?
According to Rankiteo, AI-NOMIS is not compliant with HIPAA regulations.
Does AI-NOMIS have ISO 27001 certification ?
According to Rankiteo,AI-NOMIS is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of AI-NOMIS
AI-NOMIS operates primarily in the IT Services and IT Consulting industry.
Number of Employees at AI-NOMIS
AI-NOMIS employs approximately 2 people worldwide.
Subsidiaries Owned by AI-NOMIS
AI-NOMIS presently has no subsidiaries across any sectors.
AI-NOMIS’s LinkedIn Followers
AI-NOMIS’s official LinkedIn profile has approximately 21 followers.
NAICS Classification of AI-NOMIS
AI-NOMIS is classified under the NAICS code 5415, which corresponds to Computer Systems Design and Related Services.
AI-NOMIS’s Presence on Crunchbase
No, AI-NOMIS does not have a profile on Crunchbase.
AI-NOMIS’s Presence on LinkedIn
Yes, AI-NOMIS maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/nomis-ai.
Cybersecurity Incidents Involving AI-NOMIS
As of November 27, 2025, Rankiteo reports that AI-NOMIS has experienced 1 cybersecurity incidents.
Number of Peer and Competitor Companies
AI-NOMIS has an estimated 36,262 peer or competitor companies worldwide.
What types of cybersecurity incidents have occurred at AI-NOMIS ?
Incident Types: The types of cybersecurity incidents that have occurred include Breach.
Incident Details
Can you provide details on each incident ?
Title: AI-NOMIS Data Leak
Description: AI-NOMIS, a South Korean AI firm, experienced a major data leak through its GenNomis platform, resulting in 47.8 gigabytes of data exposure, including explicit AI-generated images and JSON files. Among the leaked content were deeply concerning images depicting individuals who appeared to be minors and celebrities in explicit contexts. The exploited vulnerability led to potential risks of extortion, reputation damage, and the unauthorized creation of pornographic deepfakes, sparking significant privacy and ethical issues around AI-generated content.
Type: Data Leak
Attack Vector: Exploited Vulnerability
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.
Impact of the Incidents
What was the impact of each incident ?
Incident : Data Leak NOM336040325
Data Compromised: Explicit ai-generated images, Json files
Systems Affected: GenNomis platform
Brand Reputation Impact: Significant
What types of data are most commonly compromised in incidents ?
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Explicit Ai-Generated Images, Json Files and .
Which entities were affected by each incident ?
Incident : Data Leak NOM336040325
Entity Name: AI-NOMIS
Entity Type: AI Firm
Industry: Technology
Location: South Korea
Data Breach Information
What type of data was compromised in each breach ?
Incident : Data Leak NOM336040325
Type of Data Compromised: Explicit ai-generated images, Json files
Sensitivity of Data: High
File Types Exposed: ImagesJSON
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 were Explicit AI-generated images, JSON files and .
What was the most significant system affected in an incident ?
Most Significant System Affected: The most significant system affected in an incident was GenNomis platform.
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 Explicit AI-generated images and JSON files.
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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.
