How to Automate Supply Chain Risk Reports: A Guide for Developers
Do you use Python? If so, this guide will help you automate supply chain risk reports using AI Chat GPT and our News API.
In recent years, a surge in stealer logs has emerged, making it easier than ever for anyone, even those with minimal technical expertise, to become a cybercriminal. These logs, often readily available on dark web marketplaces, Telegram channels, and even underground forums, contain stolen credentials for virtually any online service imaginable.
The consequences of this readily available arsenal are severe. Earlier this year, Snowflake experienced a data breach, which was executed by leveraging stealer logs available on the dark web. This incident, like countless others, highlights the significant vulnerability corporations face due to the proliferation of stealer logs.
With the barrier to entry for cybercrime effectively lowered, organizations and individuals alike must remain vigilant. This is why we’ve decided to take a closer look at stealer logs on the deep and dark web.
Stealer logs are a serious threat to individuals and organizations alike. These logs, compiled by account stealer malware Infostealers like Redline, LummaC2 and MyFiles Stealer contain sensitive data stolen from compromised devices. This data can include browser history, cookies, visited websites, installed software, and even user information.
Stealer Logs present a significant risk because they can be exploited or sold by Initial Access Brokers (IABs) to orchestrate various attacks, including ransomware, social engineering, and Remote Access Trojans (RATs).
Credential theft has evolved far beyond simple password harvesting. In 2026, advanced infostealers target session tokens and browser cookies. This is data that allows attackers to bypass multi-factor authentication entirely – entering active sessions without a password. Stealer log checkers make the risk even greater. A stealer logs checker gives even low-skill threat actors automated tools to validate and triage stolen credentials at scale, enabling them to isolate the high-value accounts before they are sold or weaponized.
The marketplace for stolen credentials has also matured. Russian Market remains one of the primary distribution points, offering log credentials for sale organized by credential type, domain, and risk tier. The stock of logs is constantly refreshed via Telegram channels, which surface fresh logs daily – both free and subscription-based. Taken together, this efficient distribution mechanism means that a compromised device can translate into an active breach within hours.
Threat actors leverage Malware-as-a-Service (MaaS) models to distribute infostealers, including tools like MyFiles Stealer. This, along with automated operations that collect and distribute stolen data logs from infected devices across Telegram channels and dark web marketplaces, has fueled the growth of a readily accessible market for stealer logs.
These logs, frequently aggregated by bots, are readily available on Telegram, either for free or through subscription services, significantly simplifying the access for cybercriminals.
We used Lunar, Webz.io’s dark web monitoring tool, to track the distribution of stealer logs on Telegram. The following chart, taken from Lunar, shows a surge in the number of posts which mention stealer logs on Telegram, since the start of 2024:
Stealer logs appear on different sources across the deep and dark web. Some of the primary sources include:
Telegram is notable for being a widely-used platform that facilitates the dissemination of stealer logs via channels that host data from various bots. These channels often present users with the option to access logs either for free or through subscription-based models, granting private log access. Channels purporting to offer premium-quality logs typically impose a monthly fee ranging from several hundred dollars to $1000.
The surging demand for stealer logs has spurred a rise in their accessibility across dark web marketplaces like Russian Market and 2easy. These platforms are dedicated to vending stealer logs, offered at diverse prices ranging from $5 to $100, based on factors such as the volume of authentication data, associated accounts, and more.
Initial Access Brokers (IAB) are likely targeting corporate logs containing valuable data, facilitating easier access and subsequent sale on dark web forums such as XSS and Exploit. The next image shows a post that was published on the XSS forum where an IAB is selling access to various government domains in different locations. We believe that this is facilitated by corporate stealer logs that they have acquired and used.
Finding stealer logs in the deep and dark web is a complex task. We at Webz.io continuously scan dark web marketplaces, datastores, and chat applications, to expand our scope of stealer logs.
To illustrate it, we used Intel and searched for stealer logs associated with its domain (Intel.com) . We used Lunar’s enriched.category:stealer_logs tag to retrieve results that were classified as stealer logs. We further narrowed our search to logs associated with the Intel.com domain, enriched.domain.value:intel.com.
Here is a screenshot of the stealer log results found on Lunar related to Intel.
The log in this example was published on Russian Market and contains a compromised Microsoft account. We classify it as a high risk log due to the nature of the site and the fact that it contains various details associated with the Microsoft domain, including cookies, passwords, etc.
To effectively mitigate the risks posed by these readily available troves of compromised credentials, organizations must prioritize both identification and mitigation strategies.
By combining proactive monitoring with robust security protocols and continuous employee education, organizations can effectively minimize the impact of stealer logs and safeguard their valuable assets in an increasingly complex threat landscape.
Stealer logs are not going away, and their presence on the dark web serves as a stark reminder of the need to stay vigilant. While the ease with which cybercriminals can acquire and use this information poses a significant threat, proactive monitoring by cybersecurity professionals can help mitigate such risks.
By actively tracking stealer logs on the dark web, with dark web monitoring tools like Lunar, Managed Security Service Providers (MSSPs) and Cyber Threat Intelligence (CTI) teams can stay ahead of emerging threats, such as account takeovers and ransomware attacks. To effectively mitigate these risks, organizations should prioritize the implementation of dark web monitoring solutions and develop comprehensive strategies for analyzing and responding to stealer log data.
Ready to take control of your dark web exposure? Open a free account with Lunar today.
A stealer logs checker – sometimes used alongside tools like the brutality stealer log – is an automated tool that validates stolen credentials. It tests whether usernames, passwords, session tokens, and cookies are active, then sorts the results by value. For example, accounts tied to corporate systems or financial platforms would be considered more valuable, whereas anything expired would be lower-value and filtered out.
Data breaches expose records held by an organization – usernames, hashed passwords, emails and more. Stealer logs are harvested directly from infected devices. These capture credentials as they are typed, along with session tokens, cookies, and browser data. That makes a stealer log more actionable than breach data, and thus more valuable to threat actors.
Yes. A log produced by an account stealer and containing an employee’s corporate credentials – especially if it has active session cookies or VPN access – can give an attacker a direct entry point into an organization’s network. Initial Access Brokers specifically look for logs with this kind of high-value corporate access, since they are more valuable when sold.
When an infostealer infects a device, it harvests the device’s log credentials and transmits it back to the attacker. Within hours, that data can be aggregated, validated, and listed on dark web marketplaces or distributed through Telegram channels.
Dark web monitoring tools like Lunar continuously scan marketplaces, forums, and Telegram channels for credentials tied to your organization’s domains. When a match surfaces, security teams can act immediately to force password resets and invalidate active sessions before attackers can exploit the exposure.
Do you use Python? If so, this guide will help you automate supply chain risk reports using AI Chat GPT and our News API.
Use this guide to learn how to easily automate supply chain risk reports with Chat GPT and news data.
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