Monitoring the Darkweb: The Journey of Stolen Data
By Sofía Garduño | Journalist & Industry Analyst -
Wed, 10/22/2025 - 13:50
When sensitive information escapes an organization’s control, the consequences can extend far beyond financial loss. Data leaks not only jeopardize operational integrity but also expose companies to reputational harm and long-term trust erosion. As cyberattacks grow more sophisticated, understanding how stolen information travels through digital networks, and particularly through the Dark Web, has become a critical priority for all sectors, explains Darwin Bejarano, Senior Strategic Account Manager, ManageEngine.
“Cybercrime is a constantly evolving and profitable activity, leading to increasingly sophisticated cyberattacks,” said Bejarano during the Mexico Cybersecurity Summit 2025.
Cybercrime is expected to have an economic impact of US$10.5 trillion by 2025. In 2021, a 140% increase in cyberattacks targeting Operational Technology (OT) was observed. During 2022, ransomware incidents increased 87%. In 2023, ransomware payments reached US$1.1 billion, and 77.9 million malware attacks on IoT devices were recorded.
These attacks directly impact business continuity and consumer perception. ManageEngine reports that 60% of SMEs that fall victim to severe cyberattacks cease operations within six months of the incident. Additionally, a survey on consumer perception of brand cybersecurity reveals that 75% of consumers are willing to end business relationships with a company after a security breach, as trust is also compromised.
This landscape calls for urgent data protection strategies. The foundation of effective cybersecurity lies in data classification. Every organization manages various kinds of information that differ in sensitivity and legal requirements. Public or operational data may be openly accessible, while confidential data demands restricted access. In industries bound by privacy and compliance regulations, personally identifiable information must be treated with heightened security. Proper classification determines the level of protection each dataset requires, reducing the likelihood of accidental exposure.
“Organizations must carefully assess data classification and the required protection and handling levels from the outset,” says Bejarano.
When a security gap is exploited, stolen data often finds its way into the Dark Web, a hidden layer of the internet where transactions take place anonymously, typically through cryptocurrencies. This market handles vast quantities of illicit data, from credit card numbers and government files to corporate databases, posing serious threats to institutions, public entities, and individuals alike. Because anonymity reigns in this environment, tracing buyers and sellers is nearly impossible.
Cybercriminal activity in the Dark Web continues to expand due to the high financial rewards it offers. Organized groups operate with advanced technology, using evolving techniques such as phishing, ransomware, and SQL injection attacks. For example, data from financial institutions, travel booking platforms, and restaurants have all been compromised through various forms of digital manipulation. Once obtained, the stolen data is encrypted, cleaned of identifying metadata, and sold to the highest bidder.
An often-overlooked risk in this process is metadata exposure. Metadata — automatically generated information about files, such as the time, location, or device used — can reveal more than organizations realize. Even when the primary data is protected, unmonitored metadata can serve as an entry point for attackers to uncover sensitive systems or user information.
“Many successful cyberattacks begin by exploiting uncontrolled metadata, which attackers use to access sensitive information,” says Bejarano.
User behavior also contributes to vulnerabilities. Many individuals unknowingly grant excessive permissions to mobile applications or browser extensions, allowing background processes to collect data even when not in use. These permissions can compromise stored credentials or enable unauthorized data transfers without the user’s awareness.
Adding to the challenge, breaches often remain undetected for months. Studies indicate that organizations take an average of 292 days to identify and contain credential theft, and similar timelines apply to phishing and social engineering attacks. This delay gives attackers a significant advantage to exploit vulnerabilities and extract more data.
To counter these risks, companies must implement a multilayered cybersecurity strategy, says Bejarano. This includes strict access control policies, automatic credential rotation, temporary access for third-party vendors, and continuous monitoring supported by AI. Threat intelligence tools can detect anomalies, analyze behavioral patterns, and provide proactive alerts before breaches escalate.
Moreover, organizations should actively monitor their digital footprint beyond the visible internet. Understanding what information about their domain or users may be circulating on hidden networks is essential for containment and response. Technologies such as Privileged Access Management (PAM) and Security Information and Event Management (SIEM) systems play a crucial role in correlating large volumes of data, identifying suspicious activity, and supporting timely intervention.
Ultimately, no system is entirely immune to cyber threats. The only certainty is that vulnerability exists, and preparedness determines resilience. Strengthening data protection, monitoring emerging risks, and fostering cybersecurity awareness across all levels of an organization remain the most effective defenses in an era where digital shadows grow deeper every day.


