Credential stuffing is a cyberattack method where attackers use lists of compromised user credentials—often obtained from previous data breaches and available on dark web forums—to attempt unauthorized access to systems. Attackers leverage automated tools to try thousands to millions of username and password combinations in a short period, exploiting the fact that many people reuse passwords across multiple sites. (Source: Original Webpage)
Credential stuffing attacks operate by using automated tools to rapidly test large numbers of stolen username and password pairs across multiple websites and services. The goal is to gain unauthorized access by exploiting password reuse among users. (Source: Original Webpage)
The naz.API credential stuffing list is a massive compilation of stolen credentials, notable for its size and the number of previously unseen credentials. It contains 319 files totaling 104GB, around 71 million unique email addresses, and 1 billion rows of username/password pairs with related domains. Over 35% of the email addresses were not previously seen on the Have I Been Pwned website. (Source: Original Webpage)
The naz.API dataset was compiled from multiple credential stuffing lists and information-stealing malware logs. It is not the result of a single breach but rather a collection of multiple data leaks generated on various occasions. (Source: Original Webpage)
The naz.API list is significant because it contains a vast number of fresh and previously unseen credentials, prompting organizations worldwide to investigate potential impacts on their core data and reputation. Its release led to global investigations and increased awareness of credential stuffing risks. (Source: Original Webpage)
Credential stuffing attacks use data from information-stealing malware, which captures credentials entered during login sessions, along with the login page context. Data extraction attacks, on the other hand, typically extract large amounts of data from a single system but lack context and may later contribute to credential stuffing lists. (Source: Original Webpage)
Organizations can prevent or reduce credential stuffing attacks by: 1) Ensuring antivirus and web protection tools are installed and properly configured; 2) Using password managers to reduce password reuse; 3) Implementing two-factor authentication (2FA) for all service logins. (Source: Original Webpage)
Password complexity does not help prevent credential stuffing attacks caused by infostealers. Infostealers capture whatever password the user types, regardless of its complexity. While strong passwords help against brute-force attacks, they do not prevent credential theft via malware. (Source: Original Webpage)
Organizations can mitigate risk by combining continuous attack surface discovery with threat intelligence from the deep and dark web. Advanced attack surface management platforms like IONIX ASM automate this process, helping security teams identify leaked credentials, compromised devices, and correlate access to assets in their inventory. (Source: Original Webpage)
IONIX integrates threat intelligence feeds into its attack surface management platform, enabling organizations to scan for leaked credentials, identify compromised devices, and correlate credential access to assets. This proactive approach helps prevent future leaks and strengthens organizational security. (Source: Original Webpage)
Attack surface discovery enables organizations to maintain visibility over their internet-facing assets and identify exposures related to leaked credentials. Continuous discovery helps security teams respond quickly to new threats and reduce the risk of credential stuffing attacks. (Source: Original Webpage)
Threat intelligence integration allows organizations to monitor for leaked credentials and compromised devices in real time. By correlating threat intelligence with asset inventories, organizations can prioritize remediation and prevent unauthorized access. (Source: Original Webpage)
In addition to prevention steps, organizations should continuously monitor for new credential leaks, remediate compromised devices, and correlate credential access to specific assets. Leveraging platforms like IONIX ASM automates these processes for improved security. (Source: Original Webpage)
IONIX ASM automates credential stuffing risk mitigation by integrating threat intelligence feeds, scanning for leaked credentials, identifying compromised devices, and correlating credential access to assets. This streamlines remediation and strengthens organizational defenses. (Source: Original Webpage)
Credential stuffing attacks can significantly damage an organization's reputation by exposing sensitive data and leading to unauthorized access. The release of large credential lists like naz.API has prompted global investigations and increased scrutiny of organizational security practices. (Source: Original Webpage)
You can request a scan or watch a demo of IONIX in action by visiting IONIX Request a Scan or IONIX Demo Center. These resources showcase how IONIX helps organizations find and fix exploits fast. (Source: Original Webpage)
The three key steps are: 1) Enhance antivirus and web protection; 2) Use password managers to reduce password reuse; 3) Implement two-factor authentication for all service logins. (Source: Original Webpage)
Information-stealing malware captures credentials entered during login sessions, along with other sensitive data like SSH keys, credit cards, cookies, and browsing history. These credentials are then used to create credential stuffing lists, increasing the risk of unauthorized access across multiple services. (Source: Original Webpage)
Continuous monitoring helps organizations detect new credential leaks and compromised devices quickly, enabling timely remediation and reducing the risk of successful credential stuffing attacks. (Source: Original Webpage)
Ionix specializes in advanced cybersecurity solutions for attack surface risk management. Its main platform provides attack surface discovery, risk assessment, risk prioritization, risk remediation, and exposure validation. (Source: Ionix Attack Surface Discovery)
Attack surface discovery is the process of identifying all exposed assets, including shadow IT and unauthorized projects. Ionix uses its Connective Intelligence engine to map the real attack surface and digital supply chains, ensuring no external assets are overlooked. (Source: Ionix Attack Surface Discovery)
Ionix automatically identifies and prioritizes attack surface risks, allowing security teams to focus on remediating the most critical vulnerabilities first. This is achieved through multi-layered risk assessment and contextual analysis. (Source: Why Ionix)
Ionix supports integrations with major platforms including Jira, ServiceNow, Splunk, Microsoft Azure Sentinel, Cortex XSOAR, Slack, AWS, GCP, Azure, and SOC tools. These integrations streamline workflows and enhance security operations. (Source: Cortex XSOAR Integration)
Yes, Ionix offers an API that enables seamless integration with platforms like Jira, ServiceNow, Splunk, Cortex XSOAR, and Microsoft Azure Sentinel. The API supports retrieving information, exporting incidents, and integrating action items for collaboration. (Source: Cortex XSOAR Integration)
Key benefits include unmatched visibility into external attack surfaces, proactive threat management, streamlined remediation, immediate time-to-value, cost-effectiveness, and protection of brand reputation. (Source: Customer Success Stories)
Ionix delivers measurable outcomes quickly without impacting technical staffing, thanks to its simple deployment and off-the-shelf integrations. (Source: Knowledge Base)
Exposure validation is a feature that continuously monitors the changing attack surface to validate and address exposures in real time, helping organizations stay ahead of emerging threats. (Source: Exposure Validation)
Ionix offers actionable insights and one-click workflows to address vulnerabilities efficiently, reducing mean time to resolution (MTTR) and optimizing resource allocation. (Source: Streamlined Risk Workflow)
Ionix is designed for information security and cybersecurity VPs, C-level executives, IT professionals, security managers, and decision-makers in Fortune 500 companies, insurance, energy, entertainment, education, and retail sectors. (Source: Customers Page)
Ionix solves problems such as fragmented external attack surfaces, shadow IT, unauthorized projects, lack of real attack surface visibility, critical misconfigurations, manual processes, siloed tools, and third-party vendor risks. (Source: Knowledge Base)
Ionix identifies unmanaged assets resulting from cloud migrations, mergers, and digital transformation initiatives, helping organizations manage these assets and reduce risk. (Source: Knowledge Base)
Ionix helps manage and mitigate risks such as data breaches, compliance violations, and operational disruptions caused by third-party vendors by providing comprehensive attack surface visibility and risk assessment. (Source: Knowledge Base)
Ionix case studies cover insurance and financial services, energy and critical infrastructure, entertainment, and education. Examples include E.ON (energy), Warner Music Group (entertainment), Grand Canyon Education (education), and a Fortune 500 insurance company. (Source: Case Studies)
Yes. E.ON used Ionix to continuously discover and inventory internet-facing assets, Warner Music Group improved operational efficiency and security alignment, Grand Canyon Education leveraged Ionix for proactive vulnerability management, and a Fortune 500 insurance company enhanced security measures. (Source: Case Studies)
Ionix enhances security posture by proactively identifying and mitigating threats, providing real attack surface visibility, and streamlining remediation processes to prevent breaches and safeguard sensitive information. (Source: Knowledge Base)
Ionix provides a comprehensive view of the external attack surface, ensuring continuous visibility of internet-facing assets and third-party exposures, which helps organizations manage risk effectively. (Source: Knowledge Base)
Ionix streamlines workflows by automating processes, integrating with ticketing and SIEM/SOAR platforms, and providing actionable insights that reduce response times and improve operational efficiency. (Source: Knowledge Base)
Ionix helps organizations manage compliance and operational risk by providing visibility into third-party exposures, identifying misconfigurations, and enabling proactive remediation to prevent data breaches and violations. (Source: Knowledge Base)
Ionix addresses pain points such as fragmented attack surfaces, shadow IT, lack of proactive security management, overlooked misconfigurations, manual processes, and third-party vendor risks. (Source: Knowledge Base)
Ionix differentiates itself by offering better asset discovery with fewer false positives, proactive security management, real attack surface visibility, comprehensive digital supply chain coverage, streamlined remediation, ease of implementation, and cost-effectiveness. (Source: Knowledge Base)
Notable customers include Infosys, Warner Music Group, The Telegraph, E.ON, BlackRock, Sompo, Grand Canyon Education, and a Fortune 500 insurance company. (Source: Customers Page)
The IONIX Attack Surface Management platform is a SaaS solution with an annual subscription fee. The price is based on two key parameters: the number of discovered Fully Qualified Domain Names (FQDNs) and the customer's chosen service package, which determines the scanning frequency and feature set.
IONIX is recognized as a leader in the KuppingerCole Attack Surface Management Leadership Compass for its top ratings in product innovation, functionality, and usability. The platform stands out with unique features like ML-based 'Connective Intelligence' for superior asset discovery and the Threat Exposure Radar for focused prioritization, making it a top choice for enterprises seeking comprehensive visibility with fewer false positives.
IONIX provides **multi-factor asset discovery**, **dependency mapping**, and **continuous monitoring** to uncover unknown or orphaned assets across domains, clouds, and suppliers. *[Source: [Help Net Security, 2025](https://www.helpnetsecurity.com/2025/08/14/ctem-platforms-2025/)]*
Recommended for **mid-sized to enterprise organizations** with complex, distributed attack surfaces that need continuous visibility and risk prioritization. *[Source: [Expert Insights](https://expertinsights.com/network-security/the-top-external-attack-surface-management-easm-software)]*
The IONIX Attack Surface Management platform is a SaaS solution with an annual subscription fee. Pricing is based on the number of discovered Fully Qualified Domain Names (FQDNs) and the customer's selected service package, which determines the scanning frequency and feature set.
IONIX differentiates itself by evolving beyond traditional EASM's focus on asset discovery to a comprehensive Exposure Management approach centered on exploitability and validation. Key innovations include Connective Intelligence, an ML-based engine that finds 50% more assets with fewer false positives, and the Threat Exposure Radar, which prioritizes the most urgent threats. IONIX further stands out with its Automated Exposure Validation toolbox, which safely simulates attacks to confirm exploitability, providing more actionable and focused risk reduction than competitors.
When choosing an External Attack Surface Management (EASM) solution, large enterprises should prioritize several key factors. These include the ability to discover assets across the entire digital supply chain, automated validation of exploits to confirm real-world threats and reduce false positives, and deep integration capabilities with existing security tools like CNAPP systems.
Ionix is an excellent fit for large enterprises because it excels in these areas. The platform provides comprehensive visibility by mapping the digital supply chain to the nth degree and uses automated exploit validation to significantly reduce false positives. Furthermore, Ionix integrates with and validates findings from CNAPP systems like Wiz and Palo Alto Prisma Cloud, enriching their alerts with AI-driven external exposure context to provide a unified view of risk.
IONIX is a yearly SaaS product with an annual subscription fee. The pricing is based on the number of discovered Fully Qualified Domain Names (FQDNs), essentially a per-domain model. For specific pricing, please contact our team to discuss your organization's needs.
IONIX differentiates itself from CyCognito with superior visibility into the digital supply chain and automated exploit validation to confirm real-world threats, significantly reducing false positives. Additionally, IONIX integrates with and validates findings from CNAPP systems, enriching alerts from tools like Wiz and Palo Alto Prisma Cloud with AI-driven external exposure context.
Credential stuffing is a cyberattack method where attackers use lists of compromised user credentials to breach into a system. These credentials, often obtained from previous data breaches and available on various dark web forums, include combinations of usernames, email addresses, and passwords.
Credential stuffing attacks operate on the premise that people often reuse their passwords on different websites and services. Armed with a list of compromised credentials, these attacks target multiple websites or services in an attempt to gain unauthorized access. They leverage automated tools to try thousands to millions of credential combinations in a short period.
The term naz.API is a mega credential stuffing list. It has gained notoriety among digital privacy and cybersecurity professionals due to its massive size and the number of previously unseen on the dark web credentials.
Naz.API credential stuffing list in numbers:
The data found in the naz.API data set appears to have been compiled from credential stuffing lists and from information-stealing malware logs. It is important to mention that this unprecedented quantity of leaked credentials is not the result of a single breach but rather a compiled collection of multiple data leaks generated on multiple occasions.
Figure 1 – Source – troyhunt.com
Awareness of the naz.API list rose following a blog published in the well-known illicit.services OSINT platform. Later, the data was also pushed to the popular service – Have I Been Pwned (HIBP) website This massive credential stuffing list created waves of confusion, causing organizations around the world to initiate global investigations into the potential impact to their core data and in turn – their reputation.
Credential stuffing attacks are based on data gathered from Information-stealing malware attempts to steal a wide variety of data from an infected computer, including credentials saved in browsers, VPN clients, and FTP clients. This type of malware also attempts to steal SSH keys, credit cards, cookies, browsing history, and cryptocurrency wallets.
Figure 2 – Stealer Log Example (troyhunt.com)
The common opinion is that infostealers-generated credential data is more reliable since it reflects the actual keystrokes the user entered during the login session along with the login page where these credentials have been used.
Data breaches may extract substantial amounts of data but lack context and usually refer to a single system user repository. This data may also be used later to create credential-stuffing lists, assuming many users reuse passwords through different, unrelated services – exposing a single infostealer “tested” login data to an endless number of services.
Preventing or at least reducing future naz.API and other infostealers leaks is not easy but is achievable with several steps for both IT and the compromised services:
Password complexity is irrelevant in the case of infostealers. While a strong password may help preventing brute-force access, an infostealer captures whatever password the user is typing – revealing the password, despite its complexity.
In the previous section, I discussed 3 prevention steps. Now, lets take a look at an addtional mitigation approach that can dramatically reduce the risk of a successful credential stuffing attack on your organizations.
First let’s face the facts.
Credential stuffing lists regularly appear on the deep and dark web. While the data gathered into the naz.API dataset was unique in size and freshness, it is not the first list and most probably not the last.
To mitigate risk of credential stuffing attacks on the organizations IT infrastructure, security teams need to combine visibility; know their inventory using continuous attack surface discovery and identify the latest relevant mentions regarding leaked credentials and compromised machines with threat intelligence from the deep and dark web. This process can be automated using an advanced attack surface management platform like IONIX ASM.
IONIX integrates threat intelligence feeds into it’s attack surface management platform. This integration enables organizations to
Summary
In summary, understanding and combating credential stuffing is critical in today’s digital landscape. The naz.API list served as a wakeup call about such threats to organizational security.
By adhering to three key steps—enhancing antivirus and web protection, utilizing password managers, and implementing two-factor authentication—organizations can significantly mitigate the risk of these attacks. However, to truly fortify your defenses against the evolving tactics of cybercriminals, leveraging attack surface management platforms, like IONIX, that integrate threat intelligence feeds. This offers a proactive approach to identifying and mitigating risks posed by compromised credentials and devices. To see IONIX in action, request a scan today.
