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# Case Study: Emotet Thread Hijacking, an Email Attack Technique

![Clock Icon](https://unit42.paloaltonetworks.com/wp-content/themes/unit42-v6/dist/images/icons/icon-clock.svg) 5 min read  
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* ![Profile Icon](https://unit42.paloaltonetworks.com/wp-content/themes/unit42-v6/dist/images/icons/icon-profile-grey.svg)  
  By:
  
  * [Brad Duncan](https://unit42.paloaltonetworks.com/author/brad-duncan/)

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  Published:September 23, 2020

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  * [Cybercrime](https://unit42.paloaltonetworks.com/category/cybercrime/)
  * [Threat Research](https://unit42.paloaltonetworks.com/category/threat-research/)

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  * [Botnet](https://unit42.paloaltonetworks.com/tag/botnet/)
  * [Cyber crime](https://unit42.paloaltonetworks.com/tag/cyber-crime/)
  * [Emotet](https://unit42.paloaltonetworks.com/tag/emotet/)
  * [MealyBug](https://unit42.paloaltonetworks.com/tag/mealybug/)
  * [TA542](https://unit42.paloaltonetworks.com/tag/ta542/)

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## **Executive Summary**

Malicious spam (malspam) pushing Emotet malware is the most common email-based threat, far surpassing other malware families, [with only a few other threats coming close](https://www.proofpoint.com/us/blog/threat-insight/comprehensive-look-emotets-summer-2020-return).

In recent weeks, we have seen significantly more Emotet malspam using a technique called "thread hijacking" that utilizes legitimate messages stolen from infected computers' email clients. This malspam spoofs a legitimate user and impersonates a reply to the stolen email. Thread hijacked malspam is sent to addresses from the original message.

This technique is much more effective than less sophisticated methods, which many people have now learned to spot. The approach is more successful at convincing potential victims to click on an attached file, or to click on a link to download a malicious Word document with macros designed to infect a user with Emotet.

Here, we review a case study of Emotet's thread hijacking process so we can better recognize and understand this technique.

Palo Alto Networks customers are protected from this threat because our [Threat Prevention](https://www.paloaltonetworks.com/products/secure-the-network/subscriptions/threat-prevention) security subscription detects and prevents these types of Emotet infections. [AutoFocus](https://www.paloaltonetworks.com/cortex/autofocus) users can track Emotet activity using the [Emotet](https://autofocus.paloaltonetworks.com/#/tag/Unit42.Emotet) tag.
![Step 1: Windows host is infected with Emotet; Step 2: Emotet-infected host sends data collected from its email client through C2 traffic; Step 4: Hosts from Emotet botnet spoof email chains from the stolen data.](https://unit42.paloaltonetworks.com/wp-content/uploads/2020/09/word-image-1.jpeg) Figure 1. Visual representation of Emotet's thread hijacking process.

## **Case Study Timeline**

To illustrate Emotet's thread hijacking process, our case study focuses on an infection from Sept. 3, 2020. In this example, Emotet hijacks the most recent email in an Outlook inbox from an infected host.

The timeline is:

* 15:35 UTC -- Legitimate message received by email client on host.
* 16:31 UTC -- Host infected with Emotet.
* 16:34 UTC -- Legitimate message collected from infected host is sent through Emotet command and control (C2) traffic.
* 18:22 UTC -- Emotet botnet sends spoofed email using legitimate message from the infected host.

This process took one hour and 51 minutes to progress from the infection to the arrival of a thread-hijacked email.

## **Legitimate Email From the Infected Host**

In our example, a vulnerable Windows 10 host used Microsoft Outlook as its email client. Outlook was synchronized to a Microsoft account at k\*\*\*\*\*\*\*\*\*.r\*\*\*\*\*\*\*@outlook.com (we have redacted information from the email addresses for this case study). The most recent message in the infected host's email client is shown in Figure 2, and we have loaded a [redacted copy of the legitimate email](https://github.com/pan-unit42/iocs/blob/master/Emotet-thread-hijacking/2020-09-03-Emotet-thread-hijacking-legitimate-email.txt) to GitHub.
![Thread hijacking begins with a legitimate email, as shown here.](https://unit42.paloaltonetworks.com/wp-content/uploads/2020/09/word-image-2.jpeg) Figure 2. Most recent email from an infected host's Outlook client.

As we see in Figure 2, the most recent email was received at 15:35 UTC, approximately one hour before the host was infected with Emotet. This email is a response from t\*\*\*\*.h\*\*\*\*\*\*@yahoo.com to a previous message from k\*\*\*\*\*\*\*\*\*.r\*\*\*\*\*\*\*@outlook.com.

## **Data Exfiltration Through C2 Traffic**

Emotet uses HTTP POST requests over C2 traffic to send data collected from the infected host. This data is encoded or otherwise encrypted before it is sent over HTTP.

Most of these POST requests contain only a small amount of encoded data from the infected host, often much less than 1,000 bytes. These requests contain an extra 4 kB of data for padding and form header data. Figure 3 shows a typical example of Emotet C2 traffic from our case study.
![This screenshot from Wireshark breaks down how much data is located where in HTTP Post requests over C2 traffic. It shows that out of 4,772 bytes posted, there's form header info, 675 bytes of encoded data, and 3,875 bytes of padding.](https://unit42.paloaltonetworks.com/wp-content/uploads/2020/09/word-image-3.jpeg) Figure 3. Example of HTTP POST data from Emotet C2 traffic in our case study.

Since the amount of encoded data is so small, it does not contain any email chain data collected from the infected user's email client. However, at 16:34 UTC, we find 13.9 kB of encoded data sent over Emotet HTTP C2 traffic as shown in Figure 4.
![These images show a more significant amount of data being sent - the HTTP Posts sends approximately 13.9 kB of encoded data. It is large enough to contain email chain data collected from the infected Windows host, which allows thread hijacking to proceed.](https://unit42.paloaltonetworks.com/wp-content/uploads/2020/09/word-image-4.jpeg) Figure 4. Approximately 13.9 kB of encoded data in Emotet C2 traffic at 16:34 UTC.

This amount is large enough to contain email chain data collected from the infected Windows host. It is the only significant amount of data sent in HTTP POST requests from the Emotet-infected host before we find the thread-hijacked email at 18:22 UTC.

## **Spoofed Message From Hijacked Email**

At 18:22 UTC, a spoofed email was received by t\*\*\*\*.h\*\*\*\*\*\*@yahoo.com, the Yahoo account that had sent the most recent message in correspondence to the infected host. It contains an attached Word document with macros for Emotet. This message is shown in Figure 5, and we have loaded [a copy of the spoofed email](https://github.com/pan-unit42/iocs/blob/master/Emotet-thread-hijacking/2020-09-03-Emotet-thread-hijacking-spoofed-malspam-from-botnet.txt) to GitHub.
![This image shows how the spoofed email appears after thread hijacking. Note the presence of a .doc attachment, which contains macros for Emotet.](https://unit42.paloaltonetworks.com/wp-content/uploads/2020/09/word-image-5.jpeg) Figure 5. Hijacked email sent from the Emotet botnet.

The message is a reply to t\*\*\*\*.h\*\*\*\*\*\*@yahoo.com that spoofs k\*\*\*\*\*\*\*\*\*.r\*\*\*\*\*\*\*@outlook.com from the infected host.

These thread-hijacked messages either have an attached file, or they have a link to download a malicious Word document with macros designed to infect a vulnerable host with Emotet.

Emotet's thread-hijacked message from this case study spoofed the name in the sending address line from the infected host. Headers from the spoofed message indicate the actual sender may have been from a botnet host in Brazil, or a Brazil-based host may have been used to relay the message. Botnet hosts from all over the world are used to send these thread-hijacked messages from Emotet infections.
![This shows header lines from the hijacked message sent in the example used for the case study. Examining this header information suggests the actual sender may have been from a botnet host in Brazil, or a Brazil-based host may have been used to relay the message.](https://unit42.paloaltonetworks.com/wp-content/uploads/2020/09/word-image-6.jpeg) Figure 6. Header lines from hijacked message sent to t\*\*\*\*.h\*\*\*\*\*\*@yahoo.com.

These spoofed messages tend to be the most recent emails from a victim's email client because those are the most likely to fool someone.

Of note, we cannot always assume the spoofed sending address is from an infected victim. If the original message from an infected victim has multiple recipients, a hijacked email could spoof one of the other recipients.

## **Conclusion**

We've stored [an example of the legitimate email](https://github.com/pan-unit42/iocs/blob/master/Emotet-thread-hijacking/2020-09-03-Emotet-thread-hijacking-legitimate-email.txt) that was hijacked in this case study.

We've also stored [an example of the spoofed messages](https://github.com/pan-unit42/iocs/blob/master/Emotet-thread-hijacking/2020-09-03-Emotet-thread-hijacking-spoofed-malspam-from-botnet.txt) sent from the Emotet botnet.

The [pcap of infection traffic](https://www.malware-traffic-analysis.net/2020/09/03/index.html) from this case study is also available.

This case study shows an example of Emotet thread hijacking so we can better understand how Emotet malware utilizes this technique. Emotet is a very active threat that constantly updates its malware in an attempt to evade detection. This vector of infection can reach a great deal of potential victims.

However, organizations with effective spam filtering that follow best security practices have a much lower risk from this infection vector. Palo Alto Networks customers are further protected from this threat, because our [Threat Prevention](https://www.paloaltonetworks.com/products/secure-the-network/subscriptions/threat-prevention) security subscription detects and prevents these types of Emotet infections. [AutoFocus](https://www.paloaltonetworks.com/cortex/autofocus) users can track Emotet activity using the [Emotet](https://autofocus.paloaltonetworks.com/#/tag/Unit42.Emotet) tag.

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### Table of Contents

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  ![Pictorial representation of malicious LLMs. Close-up view of a digital wall displaying various glowing icons, representing a high-tech network interface.](https://unit42.paloaltonetworks.com/wp-content/uploads/2025/11/AdobeStock_1270203474-786x440.jpeg)  
  [![category icon](https://unit42.paloaltonetworks.com/wp-content/uploads/2024/06/icon-threat-research.svg)Threat Research](https://unit42.paloaltonetworks.com/category/threat-research/) November 25, 2025 [#### The Dual-Use Dilemma of AI: Malicious LLMs](https://unit42.paloaltonetworks.com/dilemma-of-ai-malicious-llms/)

* [Credential Harvesting](https://unit42.paloaltonetworks.com/tag/credential-harvesting/ "Credential Harvesting")

* [Data exfiltration](https://unit42.paloaltonetworks.com/tag/data-exfiltration/ "data exfiltration")

* [LLM](https://unit42.paloaltonetworks.com/tag/llm/ "LLM")  
  [Read now ![Right arrow](https://unit42.paloaltonetworks.com/wp-content/themes/unit42-v6/dist/images/icons/icon-right-arrow-withtail.svg)](https://unit42.paloaltonetworks.com/dilemma-of-ai-malicious-llms/ "The Dual-Use Dilemma of AI: Malicious LLMs")  
  ![Pictorial representation of Gh0st RAT malware. A woman analyzes code on a computer screen in an office setting, with another individual working in the background.](https://unit42.paloaltonetworks.com/wp-content/uploads/2025/11/04_Security-Technology_Category_1505x922-718x440.jpg)  
  [![category icon](https://unit42.paloaltonetworks.com/wp-content/uploads/2024/06/icon-threat-research.svg)Threat Research](https://unit42.paloaltonetworks.com/category/threat-research/) November 14, 2025 [#### Digital Doppelgangers: Anatomy of Evolving Impersonation Campaigns Distributing Gh0st RAT](https://unit42.paloaltonetworks.com/impersonation-campaigns-deliver-gh0st-rat/)

* [DLL Sideloading](https://unit42.paloaltonetworks.com/tag/dll-sideloading/ "DLL Sideloading")

* [Gh0st Rat](https://unit42.paloaltonetworks.com/tag/gh0st-rat/ "Gh0st Rat")

* [PDNS](https://unit42.paloaltonetworks.com/tag/pdns/ "PDNS")  
  [Read now ![Right arrow](https://unit42.paloaltonetworks.com/wp-content/themes/unit42-v6/dist/images/icons/icon-right-arrow-withtail.svg)](https://unit42.paloaltonetworks.com/impersonation-campaigns-deliver-gh0st-rat/ "Digital Doppelgangers: Anatomy of Evolving Impersonation Campaigns Distributing Gh0st RAT")

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