Company Details
ultralytics
36
72,201
5112
ultralytics.com
0
ULT_1349927
In-progress

Ultralytics Company CyberSecurity Posture
ultralytics.comUltralytics is on a mission to empower people and companies to unleash the positive potential of AI. We make model development accessible, efficient to train, and easy to deploy. It’s been a remarkable journey, but we’re just getting started. Bring your models to life with our vision AI tools: 🔘 Ultralytics HUB - Create and train sophisticated models in seconds with no code for web and mobile 🔘 Ultralytics YOLO - Explore our state-of-the-art AI architecture to train and deploy your highly accurate AI models like a pro
Company Details
ultralytics
36
72,201
5112
ultralytics.com
0
ULT_1349927
In-progress
Between 700 and 749

Ultralytics Global Score (TPRM)XXXX

Description: Ultralytics, an AI company, suffered a significant cybersecurity incident when its AI model was hijacked. The attackers infected thousands of systems with a cryptominer, capitalizing on the company's extensive deployment of AI solutions. While the full extent of the financial and reputational damage is still being assessed, the malicious use of the AI model for crypto mining could have led to considerable performance degradation, increased operating costs, and potential loss of trust among Ultralytics' clientele. Operational disruptions and the remediation process likely resulted in substantial direct and indirect costs for the organization.
Description: Ultralytics, a renowned artificial intelligence firm, was compromised by cyber attackers who hijacked its AI model to distribute cryptomining malware. As a result, thousands of systems were unknowingly infected, utilizing their computing resources to mine cryptocurrency for the attackers. The malware spread rapidly, primarily affecting users who believed they were downloading legitimate AI software updates. The incident not only caused financial damage due to the illicit use of resources but also tainted Ultralytics' reputation for secure and reliable software.


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

Ultralytics is on a mission to empower people and companies to unleash the positive potential of AI. We make model development accessible, efficient to train, and easy to deploy. It’s been a remarkable journey, but we’re just getting started. Bring your models to life with our vision AI tools: 🔘 Ultralytics HUB - Create and train sophisticated models in seconds with no code for web and mobile 🔘 Ultralytics YOLO - Explore our state-of-the-art AI architecture to train and deploy your highly accurate AI models like a pro


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LONDON, Sept. 18, 2025 — Ultralytics, a global leader in vision AI at the edge, has completed a $30 million Series A funding round led by...
Get details on this recent supply chain attack and how to avoid falling victim to similar attacks.
We have compiled the most significant cybersecurity news of the week. Viber was blocked in Russia. Telegram released statistics on blocked...
On December 4, 2024, the Ultralytics Python module was backdoored to deploy a cryptominer. Using GitGuardian's data, we reconstructed...
A compromised build environment led to a malicious deployment of a popular AI library that had the potential of delivering other malware.
This week's cyber world is like a big spy movie. Hackers are breaking into other hackers' setups, sneaky malware is hiding in popular software, and AI-powered...
Ultralytics is a software development company best known for its YOLO (You Only Look Once) AI model, which accurately detects objects in video streams in real-...
It has come to light that two versions of a popular Python artificial intelligence (AI) library named ultralytics were compromised to deliver a cryptocurrency...
A threat actor compromised versions of the Ultralytics YOLO11 model in a supply chain attack that installed cryptomining software in recent versions of the...

Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
The official website of Ultralytics is http://ultralytics.com.
According to Rankiteo, Ultralytics’s AI-generated cybersecurity score is 736, reflecting their Moderate security posture.
According to Rankiteo, Ultralytics currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
According to Rankiteo, Ultralytics is not certified under SOC 2 Type 1.
According to Rankiteo, Ultralytics does not hold a SOC 2 Type 2 certification.
According to Rankiteo, Ultralytics is not listed as GDPR compliant.
According to Rankiteo, Ultralytics does not currently maintain PCI DSS compliance.
According to Rankiteo, Ultralytics is not compliant with HIPAA regulations.
According to Rankiteo,Ultralytics is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Ultralytics operates primarily in the Software Development industry.
Ultralytics employs approximately 36 people worldwide.
Ultralytics presently has no subsidiaries across any sectors.
Ultralytics’s official LinkedIn profile has approximately 72,201 followers.
Ultralytics is classified under the NAICS code 5112, which corresponds to Software Publishers.
No, Ultralytics does not have a profile on Crunchbase.
Yes, Ultralytics maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/ultralytics.
As of December 05, 2025, Rankiteo reports that Ultralytics has experienced 2 cybersecurity incidents.
Ultralytics has an estimated 27,281 peer or competitor companies worldwide.
Incident Types: The types of cybersecurity incidents that have occurred include Vulnerability and Cyber Attack.
Title: Cryptomining Malware Infection via AI Model Hijacking
Description: Ultralytics, a renowned artificial intelligence firm, was compromised by cyber attackers who hijacked its AI model to distribute cryptomining malware. As a result, thousands of systems were unknowingly infected, utilizing their computing resources to mine cryptocurrency for the attackers. The malware spread rapidly, primarily affecting users who believed they were downloading legitimate AI software updates. The incident not only caused financial damage due to the illicit use of resources but also tainted Ultralytics' reputation for secure and reliable software.
Type: Malware
Attack Vector: Malicious Software Update
Vulnerability Exploited: Trust in AI Model Updates
Motivation: Financial Gain
Title: Ultralytics AI Model Hijacked for Cryptomining
Description: Ultralytics, an AI company, suffered a significant cybersecurity incident when its AI model was hijacked. The attackers infected thousands of systems with a cryptominer, capitalizing on the company's extensive deployment of AI solutions. While the full extent of the financial and reputational damage is still being assessed, the malicious use of the AI model for crypto mining could have led to considerable performance degradation, increased operating costs, and potential loss of trust among Ultralytics' clientele. Operational disruptions and the remediation process likely resulted in substantial direct and indirect costs for the organization.
Type: Cryptomining
Attack Vector: AI Model Hijacking
Motivation: Financial
Common Attack Types: The most common types of attacks the company has faced is Cyber Attack.
Identification of Attack Vectors: The company identifies the attack vectors used in incidents through AI Model Update.

Systems Affected: Thousands of systems
Operational Impact: Performance degradation, increased operating costs
Brand Reputation Impact: Potential loss of trust among clientele

Entity Name: Ultralytics
Entity Type: Company
Industry: Artificial Intelligence
Customers Affected: Thousands

Entity Name: Ultralytics
Entity Type: AI Company
Industry: Artificial Intelligence

Entry Point: AI Model Update
Most Recent Entry Point: The most recent entry point used by an initial access broker was an AI Model Update.
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Sigstore Timestamp Authority is a service for issuing RFC 3161 timestamps. Prior to 2.0.3, Function api.ParseJSONRequest currently splits (via a call to strings.Split) an optionally-provided OID (which is untrusted data) on periods. Similarly, function api.getContentType splits the Content-Type header (which is also untrusted data) on an application string. As a result, in the face of a malicious request with either an excessively long OID in the payload containing many period characters or a malformed Content-Type header, a call to api.ParseJSONRequest or api.getContentType incurs allocations of O(n) bytes (where n stands for the length of the function's argument). This vulnerability is fixed in 2.0.3.
Monkeytype is a minimalistic and customizable typing test. In 25.49.0 and earlier, there is improper handling of user input which allows an attacker to execute malicious javascript on anyone viewing a malicious quote submission. quote.text and quote.source are user input, and they're inserted straight into the DOM. If they contain HTML tags, they will be rendered (after some escaping using quotes and textarea tags).
SysReptor is a fully customizable pentest reporting platform. Prior to 2025.102, there is a Stored Cross-Site Scripting (XSS) vulnerability allows authenticated users to execute malicious JavaScript in the context of other logged-in users by uploading malicious JavaScript files in the web UI. This vulnerability is fixed in 2025.102.
Taiko Alethia is an Ethereum-equivalent, permissionless, based rollup designed to scale Ethereum without compromising its fundamental properties. In 2.3.1 and earlier, TaikoInbox._verifyBatches (packages/protocol/contracts/layer1/based/TaikoInbox.sol:627-678) advanced the local tid to whatever transition matched the current blockHash before knowing whether that batch would actually be verified. When the loop later broke (e.g., cooldown window not yet passed or transition invalidated), the function still wrote that newer tid into batches[lastVerifiedBatchId].verifiedTransitionId after decrementing batchId. Result: the last verified batch could end up pointing at a transition index from the next batch (often zeroed), corrupting the verified chain pointer.
A flaw has been found in youlaitech youlai-mall 1.0.0/2.0.0. Affected is the function getById/updateAddress/deleteAddress of the file /mall-ums/app-api/v1/addresses/. Executing manipulation can lead to improper control of dynamically-identified variables. The attack can be executed remotely. The exploit has been published and may be used. The vendor was contacted early about this disclosure but did not respond in any way.

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