What Is Data Exfiltration?

Data exfiltration is the act of unlawfully removing data from a protected setting, typically with harmful intentions. It involves the improper extraction of data, resulting in a data breach and the potential for the data to be obtained by unauthorized individuals. It can be described as a sophisticated term for theft and can be carried out by external parties, as well as insiders such as employees and contractors, making it challenging to identify until it has already occurred.

The process of data exfiltration involves sending privileged or sensitive information from a computer to an external destination without proper authorization. It can happen either manually, with physical access to a device, or automatically through malicious programming via networks. It’s an especially grave threat to organizations with a plethora of customer data, since data is a core asset and provides a competitive advantage.

If a cyberattack aimed at stealing data or a malicious insider can achieve its goal, the consequences of data exfiltration could be disastrous. Apart from the expenses and disruptions involved in addressing the breach, an exfiltration attack may result in punitive measures from regulatory bodies, such as fines under GDPR or CCPA. There’s also the possibility of facing legal consequences and reputational harm, particularly if sensitive email communications are made public.

To maintain the security of important information, it’s crucial for data protection policies and practices to account for the possibility of data being stolen. By actively protecting your systems, you can safeguard all sensitive data from being accessed by malicious individuals. This page tackles this concern and explores common methods used to extract data, as well as potential strategies that organizations can implement to thwart such attempts.

How does data exfiltration occur?

The objective of a cyberattacker is often to extract data. According to the MITRE ATT&CK framework, exfiltration is the second-to-last step in their multiphase approach to a cyberattack. It takes place after gaining access to the target’s network, locating valuable data, avoiding detection, and maneuvering to the location where the data is kept. In the ATT&CK framework, only command and control (C2) follows exfiltration. However, since data is typically the end goal, the attacker may not even bother with C2.

Cyber defenders are facing a situation that could be either positive or negative. On the bright side, they have numerous opportunities to prevent an attacker from stealing data. However, ‌this means that attackers also have many opportunities to access the data.

A data exfiltration attack from an outside source begins when a hacker breaches a company’s system to obtain sensitive data, including user passwords, or through the use of APIs, which offer the easiest route for accessing data. Hackers typically insert harmful software into devices used by end users, such as computers or phones connected to the company’s network.

After infiltrating an organization’s systems and devices, malware can rapidly proliferate while targeting valuable corporate data for theft. It is adept at evading the organization’s security measures until it successfully fulfills its objectives, whether by swiftly gathering a large amount of data or slowly accumulating small pieces of information without being detected.

Corrupt insiders also pose a dangerous threat to organizations. They can quickly steal confidential data and move it out of the organization via email or cloud storage for their financial gain. Mistakes made by personnel can also cause security breaches. For example, an internal user could unknowingly leak data from the network by forwarding it to their personal email or saving it on unprotected cloud-based services and software platforms. While these actions may seem harmless, they inadvertently create vulnerabilities that are outside the purview of the organization’s security team.

One of the primary obstacles in preventing data exfiltration attacks is distinguishing between legitimate and malicious data exports. It can be difficult to determine if a user downloading a file is engaging in cyberattack activity or simply performing their job duties. Similarly, it can be challenging to identify whether encrypted data leaving an organization’s network is part of a normal business transaction or a malicious attack.

During the infamous Sony Pictures hack, a vast amount of information was extracted from the company’s network in an encrypted state over several months without detection, exposing a major flaw in their anti-exfiltration measures. This isn’t an isolated issue, as it affects every organization in some capacity.

Types of data exfiltration

Data can be stolen through different methods and approaches, such as online or within a company’s internal systems. Cybercriminals have created numerous advanced methods to illegally obtain data from companies, including masking connections, using DNS tunneling, utilizing direct IP addresses, carrying out fileless attacks, and implementing remote code execution. These strategies enable criminals to avoid detection while trying to obtain confidential data.

Cybercriminals employ a variety of data exfiltration tactics and malicious attack strategies, including:

  • Phishing attacks: Cybercriminals use phishing emails to trick individuals into giving up their login credentials, which the attacker can use to access sensitive data.
  • Outbound emails: Attackers can use outbound emails to send sensitive data to external email addresses outside the organization.
  • Downloads to insecure devices: Attackers can download sensitive data to insecure devices, such as personal laptops or USB drives, and then use that data for malicious purposes.
  • Uploads to external platforms: Attackers can also upload data to external platforms, such as cloud storage services, to exfiltrate it.
  • Abusing APIs: As noted above, APIs are the path of least resistance to data. Attackers can exfiltrate data by abusing APIs.

It’s important to note that these are just a few of the many types of data exfiltration techniques that attackers use. As attackers become more sophisticated, they constantly develop new strategies to steal sensitive data.

How to prevent data exfiltration

Companies should be proactive in avoiding any attempts to steal data. To effectively safeguard an organization’s confidential data from cybercriminals, consider implementing a security system that incorporates features like:

  • Restricting access to unauthorized communication channels: To prevent data exfiltration, organizations should take steps to block unauthorized external communications, such as those from compromised applications.
  • Safeguarding against credential theft and phishing attacks: To combat the growing number of phishing attacks, organizations should adopt tools that prevent users from entering their credentials on fraudulent websites. These preventative measures can also thwart keystroke logging, a technique used by criminals to spy on and record a user’s keyboard inputs, including user IDs and passwords.
  • Empowering users: To effectively detect and prevent data exfiltration, organizations must provide comprehensive training to their employees on the risks and tactics of cyberattacks. This training should equip employees with the knowledge to identify warning signs and take appropriate actions, such as avoiding suspicious email attachments and refraining from clicking on unfamiliar links. These measures are essential and fundamental steps toward enhancing overall digital security.

All that said, preventative data exfiltration measures mustn’t interfere with users’ activity. To ensure a good user experience, organizations should adopt tools that can accurately detect legitimate communication and application use, even in unfamiliar applications.

Real-time monitoring and data loss prevention (DLP)

Preventing data exfiltration involves implementing proactive security measures, including real-time monitoring and data loss prevention (DLP) solutions. Real-time monitoring tools are designed to track network traffic for any suspicious patterns, such as large outbound data transfers or unexpected connections to unauthorized external servers. These tools also detect unusual user activity, such as accessing sensitive files outside of normal business hours, which could indicate an insider threat.

DLP solutions are essential in enforcing policies to prevent sensitive data from leaving the organization’s secure environment. DLP tools help control access to critical data, block unauthorized transfers, and monitor user activity for any signs of attempted data exfiltration. Additionally, integrating DLP with user authentication protocols ensures that only authorized individuals have access to certain files, significantly reducing the risk of data theft.

By employing real-time monitoring and DLP tools, organizations can mitigate the risk of data exfiltration while maintaining data integrity.

Risk of data exfiltration in a cloud environment

The migration of businesses to cloud environments introduces unique challenges related to data exfiltration. While cloud services offer significant benefits, including scalability and accessibility, they can also expose organizations to new security risks. Attackers often target cloud-based applications due to misconfigurations, poor data encryption practices, or insecure APIs. As a result, cloud-based systems are increasingly vulnerable to data exfiltration attempts.

One critical risk is the ease with which unauthorized users can access cloud-stored intellectual property and sensitive information through compromised credentials or stolen API keys. Additionally, attackers can exploit weak authentication mechanisms to manipulate cloud infrastructure, resulting in data leakage. Organizations must adopt strict access controls, regularly monitor user activity, and configure robust API security to mitigate these risks.

Cloud-based systems should be complemented by strong cybersecurity practices and data loss prevention tools, enabling organizations to detect, deter, and respond to potential data exfiltration attempts in real time.

Conclusion

Data exfiltration is a growing and increasingly sophisticated security threat. Organizations must implement the proper precautions to minimize risk. Limiting access to unapproved sources is vital, as well as providing employees with the necessary knowledge to protect themselves from potential cyber risks. With an informed understanding of data exfiltration tactics and a robust strategy for prevention, organizations can confidently safeguard data and networks.

Frequently Asked Questions

Businesses can detect data exfiltration by monitoring several key indicators. Unusual network activity, such as sudden spikes in data traffic to unfamiliar destinations, can signal potential breaches. Unexpected data transfers, especially to unauthorized locations, should raise red flags. Additionally, anomalies in user behavior, like accessing sensitive data outside of regular patterns, may indicate insider threats or compromised credentials.
 

Your business can proactively identify and mitigate data exfiltration attempts through security testing and leveraging robust tools to safeguard your assets from unauthorized access and theft.

There are various data exfiltration methods, including phishing, malware, and physical removal of data. Phishing is a prevalent tactic that involves tricking users into revealing sensitive information through deceptive emails or websites. Malware, including spyware and ransomware, infiltrates systems to steal or hold data hostage. Physical removal of data involves stealing physical storage devices or printed documents.
 

These data exfiltration examples exploit vulnerabilities differently but can be countered with robust endpoint security solutions and API monitoring. By understanding these data exfiltration examples and methods, your business can implement effective countermeasures to prevent unauthorized data access and protect sensitive information from exfiltration attempts.

Implementing robust access controls is crucial for data exfiltration prevention. Your organization can significantly reduce the risk of unauthorized data removal by restricting access to sensitive information based on user roles and permissions. Strong access controls ensure that only authorized personnel can access and manipulate data, mitigating the potential for data exfiltration by malicious actors. Implementing API security measures also fortifies defenses against data breaches and data exfiltration.

Recovering from a data exfiltration incident requires a systematic approach. First, assess the extent of the damage by identifying compromised data and affected systems. Next, promptly notify all relevant parties, including customers, stakeholders, and regulatory bodies, to ensure transparency and compliance.
 

Implement immediate measures to mitigate further exposure, such as isolating affected systems and changing access credentials. Additionally, conduct a thorough investigation to understand the root cause of the breach and reinforce data security measures, including protocols to protect your APIs. By learning from the incident, your business can strengthen its defenses against future data exfiltration attempts.

Data exfiltration refers to the deliberate, unauthorized transfer of data from a secure environment, often executed by cybercriminals or malicious insiders. Data leakage, on the other hand, typically refers to the inadvertent exposure of data, often caused by misconfigurations, software bugs, or human error. Both can lead to significant data breaches and harm the organization.

Strong user authentication plays a vital role in preventing data exfiltration by ensuring that only authorized users have access to sensitive data. Implementing multi-factor authentication (MFA) and regularly updating access controls can significantly reduce the risk of unauthorized data access and theft.

Yes, social engineering is a common method used by attackers to trick employees into revealing credentials or sensitive information, which can then be used to exfiltrate data. Educating employees about phishing and other social engineering tactics is essential to preventing such attacks.

If a data exfiltration attack is suspected, businesses should immediately isolate affected systems, investigate the source of the breach, and update credentials and access controls. Additionally, implementing measures such as API security and DLP solutions can help to prevent further exfiltration attempts. Organizations must also notify relevant stakeholders and regulatory bodies when applicable.

Why customers choose Akamai

Akamai is the cybersecurity and cloud computing company that powers and protects business online. Our market-leading security solutions, superior threat intelligence, and global operations team provide defense in depth to safeguard enterprise data and applications everywhere. Akamai’s full-stack cloud computing solutions deliver performance and affordability on the world’s most distributed platform. Global enterprises trust Akamai to provide the industry-leading reliability, scale, and expertise they need to grow their business with confidence.

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