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# Resurgence of the Prometei Botnet

![Clock Icon](https://unit42.paloaltonetworks.com/wp-content/themes/unit42-v6/dist/images/icons/icon-clock.svg) 6 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:
  
  * [Lee Wei Yeong](https://unit42.paloaltonetworks.com/author/lee-wei-yeong/)
  * [Pranay Kumar Chhaparwal](https://unit42.paloaltonetworks.com/author/pranay-kumar-chhaparwal/)

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  Published:June 20, 2025

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

* ![Tags Icon](https://unit42.paloaltonetworks.com/wp-content/themes/unit42-v6/dist/images/icons/icon-tags-grey.svg)  
  Tags:
  
  * [Botnet](https://unit42.paloaltonetworks.com/tag/botnet/)
  * [Cryptominers](https://unit42.paloaltonetworks.com/tag/cryptominers/)
  * [Linux](https://unit42.paloaltonetworks.com/tag/linux/)
  * [Monero](https://unit42.paloaltonetworks.com/tag/monero/)

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## Executive Summary

In March 2025, Unit 42 researchers identified a wave of Prometei attacks. Prometei refers to both the [botnet](https://www.paloaltonetworks.com/cyberpedia/what-is-botnet) and the malware family used to operate it.

This malware family, which includes both Linux and Windows variants, allows attackers to remotely control compromised systems for cryptocurrency mining (particularly Monero) and credential theft. This article focuses on the resurgence of the Linux variant.

Prometei is under active development, incorporating new modules and methods into its capabilities. The latest Prometei versions feature a backdoor that enables a variety of malicious activities. Threat actors employ a domain generation algorithm (DGA) for their command-and-control (C2) infrastructure and integrate self-updating features for stealth and evasion.

This article presents a static analysis of Prometei malware versions three and four, highlighting key functional differences from version two.

Palo Alto Networks customers are better protected from the Prometei botnet through our [Network Security](https://www.paloaltonetworks.com/network-security) solutions. These include [Advanced](https://docs.paloaltonetworks.com/wildfire)[WildFire](https://docs.paloaltonetworks.com/advanced-wildfire), [Advanced Threat Prevention](https://docs.paloaltonetworks.com/advanced-threat-prevention/administration), [Advanced URL Filtering](https://docs.paloaltonetworks.com/advanced-url-filtering/administration) and [Advanced DNS Security](https://docs.paloaltonetworks.com/dns-security). Coverage can also be provided through our [Cortex](https://www.paloaltonetworks.com/cortex) line of products including [Cortex XDR](https://docs-cortex.paloaltonetworks.com/p/XDR) and [Cortex XSIAM](https://docs-cortex.paloaltonetworks.com/p/XSIAM).

If you think you might have been compromised or have an urgent matter, contact the [Unit 42 Incident Response team](https://start.paloaltonetworks.com/contact-unit42.html).

| **Related Unit 42 Topics** | [**Cryptominers**](https://unit42.paloaltonetworks.com/tag/cryptominers/), **[Linux](https://unit42.paloaltonetworks.com/tag/linux/)** |
|----------------------------|----------------------------------------------------------------------------------------------------------------------------------------|

## History of the Prometei Botnet

Cybersecurity researchers first identified the Prometei botnet in [July 2020](https://www.cybereason.com/blog/research/prometei-botnet-exploiting-microsoft-exchange-vulnerabilities), with its Windows version being the primary focus at the time. The Linux version of the botnet was subsequently identified in [December 2020](https://cujo.com/blog/iot-malware-journals-prometei-linux/). The latest variants of the Prometei Linux botnet, first observed in March 2025, will be discussed in greater detail in this article.

Prometei has a history of exploiting various vulnerabilities. It uses techniques such as brute-forcing credentials, leveraging EternalBlue (the infamous Windows exploit linked to the WannaCry ransomware) and exploiting Server Message Block (SMB) protocol flaws to spread laterally within networks.

Prometei employs a DGA and self-updating features to create resilient and adaptive malware. It uses a DGA to dynamically generate domain names to ensure uninterrupted communication with its C2 infrastructure, even if some domains are blocked. Self-updating capabilities allow the malware to evolve, adapt to security defenses and deliver new payloads, while maintaining stealth and evading detection. Together, these strategies make the malware more persistent and harder to combat.

While its primary goal is cryptocurrency (Monero) mining, Prometei also possesses secondary capabilities, such as stealing credentials and deploying additional malware payloads. We assess that Prometei's operations appear driven by financial gain, and there is no evidence of ties to nation-state actors.

Prometei's architecture is modular, meaning it is built from multiple independent components, each responsible for a specific function. These modules work together to accomplish the botnet's objectives. For example, it has modules for the following activities:

* [Brute-forcing](https://www.paloaltonetworks.com/cyberpedia/brute-force) administrator credentials
* Exploiting vulnerabilities
* Mining cryptocurrency
* Stealing data
* Communicating with C2 servers

This modular design makes Prometei highly adaptable, as individual components can be updated or replaced without affecting the overall botnet functionality. It operates in multiple stages in the order listed below, which typically include the following:

* Initial Exploitation
* Payload Delivery
* [Lateral Movement](https://www.paloaltonetworks.com/cyberpedia/what-is-lateral-movement#:~:text=Lateral%20movement%20attacks%20begin%20with,the%20outside%20to%20identify%20vulnerabilities.)
* Cryptocurrency Mining
* Data Stealing
* C2 Communication

## New Activity Timeline

We have been tracking this new wave of Prometei activity since March 2025. Figure 1 presents a timeline depicting the sample count of the Prometei botnet from late March-late April 2025.
![Bar chart showing the count of events over time for Prometei samples. Dates on x-axis range from late March 2025 to late April 2025. Unit 42 and Palo Alto Networks logo lockup.](https://unit42.paloaltonetworks.com/wp-content/uploads/2025/06/word-image-225023-143713-1.png) Figure 1. Timeline of Prometei botnet samples observed.

## Technical Analysis

The Prometei botnet malware is distributed via an HTTP GET request to hxxp\[://\]103.41.204\[.\]104/k.php?a=x86\_64.

A slight variation, hxxp\[://\]103.41.204\[.\]104/k.php?a=x86\_64,\<PARENT\_ID\> returns the malware sample with an extra ParentID field value populated with the \<PARENT\_ID\> value. This allows the attacker to dynamically assign a ParentID value to the malware sample. Here, \<PARENT\_ID\> is used as a placeholder.

This URL is not restricted by geographic location; it serves the same malware sample file, with a randomized configuration each time. The HTTP response headers indicate that this server is an Apache PHP server running on a Windows platform. The server IPv4 address belongs to the network operated by Infinys Network (Autonomous System Number (ASN): 58397), based in Jakarta, Indonesia.

Later versions of this malware released in March 2025 are packed using [Ultimate Packer for eXecutables (UPX)](https://upx.github.io). Version two, which was released in [2021](https://cujo.com/blog/iot-malware-journals-prometei-linux), did not use this technique.

UPX is used to compress the executable, making it smaller and potentially more difficult to analyze. The malware itself is a 64-bit executable and linkable format (ELF) file, indicating it's designed to run on Linux-based systems.

Despite the file being named k.php, it is not a PHP script, likely a tactic to further disguise its true nature. In version two, malware authors named the corresponding file uplugplay.

The UPX-packed executable infects compromised systems by decompressing itself in memory during runtime. After decompression, the actual malicious payload is executed, allowing the botnet to begin its operations.

### Unpacking Prometei for Static Analysis

Static malware analysis is a process of examining a malware sample without running or executing the file. In this case, because of the way this file is structured, we need to perform some extra operations to unpack this file for analysis. Attempting to use the standard UPX tool's decompression command-line option (i.e., upx -d) to restore the original file for further analysis will not successfully unpack it.

The UPX tool will fail because it relies on specific metadata, including a valid [PackHeader](https://github.com/upx/upx/blob/devel/src/stub/src/include/header.S) and [overlay\_offset](https://github.com/upx/upx/blob/devel/src/p_lx_exc.cpp#L201) trailer, to identify and decompress UPX-packed files as shown in Figure 2. The presence of a custom configuration JSON trailer appended to the malware disrupts this process, causing the UPX tool to incorrectly determine that the file is not a valid UPX archive.
![Image displaying a hexadecimal code and ASCII characters on a black background in a colorful, segmented format.](https://unit42.paloaltonetworks.com/wp-content/uploads/2025/06/word-image-228644-143713-2.png) Figure 2. Interpretation of the UPX [PackHeader](https://github.com/upx/upx/blob/devel/src/stub/src/include/header.S) and [overlay\_offset](https://github.com/upx/upx/blob/devel/src/p_lx_exc.cpp#L201) trailer for the sample.

Interpretation (note that bytes are formatted in little-endian order):

* **55 50 58 21**: magic constant
* **0E**: version
* **16**: format
* **08**: method
* **07**: level
* **B8 8F 14 BF**: uncompressed Adler-32 checksum
* **4B 74 01 2A**: compressed Adler-32 checksum
* **F0 08 13 00**: uncompressed length
* **C4 A6 06 00**: compressed length
* **F0 08 13 00**: original file size
* **49**: filter id
* **22**: filter\_cto
* **00**: filter\_misc / n\_mru
* **4B**: [header checksum](https://github.com/upx/upx/blob/devel/src/packhead.cpp#L62)
* **F4 00 00 00**: [overlay\_offset](https://github.com/upx/upx/blob/devel/src/p_lx_exc.cpp#L201)

The configuration JSON trailer must be stripped before using the UPX tool to unpack the sample file for analysis. After unpacking, the configuration JSON must be re-attached to the sample file for the malware to use those values during execution.

The sample contains a subroutine to search for and parse the configuration JSON trailer. Table 1 below compares the supported fields in versions two, three and four.

|------------|------------------------|--------------------------------------------------------------------|
|            | **Version 2**          | **Versions 3 and 4**                                               |
| **Fields** | \* config \* id \* enckey | \* config \* id \* enckey \* ParentId \* ParentHostname \* ParentIp \* ip |

Table 3. Comparison of supported fields in the configuration JSON trailer between version two, and versions three and four.

The sample also contains another subroutine responsible for collecting compromised system information. This information includes:

* Processor information (obtained from /proc/cpuinfo)
* Motherboard information (obtained using the dmidecode --type baseboard command)
* Operating system information (obtained from /etc/os-release or /etc/redhat-release)
* Information about how long the system has been running (obtained using the uptime command)
* Kernel information (obtained using the uname -a command)

The collected system information is submitted via HTTP GET to the C2 server at hxxp://152.36.128\[.\]18/cgi-bin/p.cgi.

For a more comprehensive understanding of the Prometei botnet and its evolution you can read the 2021 article [IoT Malware Journals: Prometei (Linux)](https://cujo.com/blog/iot-malware-journals-prometei-linux). This more recent article, [Communication with a Prometei C2](https://medium.com/p/8f9c76ff9ac0), provides a detailed analysis of its newer capabilities.

## Conclusion

This research has detailed the resurgence of the Prometei botnet, highlighting its continued evolution and the techniques it employs to evade detection. The new version of the Prometei botnet malware family can be detected with a YARA rule that identifies [UPX](https://github.com/NozomiNetworks/upx-recovery-tool/blob/main/rules/x86-64.yar) and the configuration JSON trailer, a detection method that is likely to remain effective. However, as Prometei continues to evolve, security teams must remain vigilant and proactively adapt their defenses.

### Palo Alto Networks Protection and Mitigation

Palo Alto Networks customers are better protected from the threats discussed above through the following products:

* The [Advanced WildFire](https://docs.paloaltonetworks.com/wildfire) machine-learning models and analysis techniques have been reviewed and updated in light of the IoCs shared in this research.
* [Advanced Threat Prevention](https://docs.paloaltonetworks.com/advanced-threat-prevention/administration) has an inbuilt machine learning-based detection that can detect exploits in real time.
* [Cortex XDR](https://docs-cortex.paloaltonetworks.com/p/XDR) and [XSIAM](https://docs-cortex.paloaltonetworks.com/p/XSIAM) are designed to prevent the execution of known malicious malware, and also prevent the execution of unknown malware using Behavioral Threat Protection and machine learning based on the Local Analysis module.
* [Advanced URL Filtering](https://docs.paloaltonetworks.com/advanced-url-filtering/administration) and [Advanced DNS Security](https://docs.paloaltonetworks.com/dns-security) identify known domains and URLs associated with this activity as malicious.

If you think you may have been compromised or have an urgent matter, get in touch with the[Unit 42 Incident Response team](https://start.paloaltonetworks.com/contact-unit42.html) or call:

* North America: Toll Free: +1 (866) 486-4842 (866.4.UNIT42)
* UK: +44.20.3743.3660
* Europe and Middle East: +31.20.299.3130
* Asia: +65.6983.8730
* Japan: +81.50.1790.0200
* Australia: +61.2.4062.7950
* India: 00080005045107

Palo Alto Networks has shared these findings with our fellow Cyber Threat Alliance (CTA) members. CTA members use this intelligence to rapidly deploy protections to their customers and to systematically disrupt malicious cyber actors. Learn more about the [Cyber Threat Alliance](https://www.cyberthreatalliance.org).

## Indicators of Compromise

*Malware samples*

|-------------|------------------------------------------------------------------|
| **Version** | **SHA-256 Hash**                                                 |
| v2.87X      | 46cf75d7440c30cbfd101dd396bb18dc3ea0b9fe475eb80c4545868aab5c578c |
| v3.05L      | cc7ab872ed9c25d4346b4c58c5ef8ea48c2d7b256f20fe2f0912572208df5c1a |
| v4.02V      | 205c2a562bb393a13265c8300f5f7e46d3a1aabe057cb0b53d8df92958500867 |
| v4.02V      | 656fa59c4acf841dcc3db2e91c1088daa72f99b468d035ff79d31a8f47d320ef |
| v4.02V      | 67279be56080b958b04a0f220c6244ea4725f34aa58cf46e5161cfa0af0a3fb0 |
| v4.02V      | 7a027fae1d7460fc5fccaf8bed95e9b28167023efcbb410f638c5416c6af53ff |
| v4.02V      | 87f5e41cbc5a7b3f2862fed3f9458cd083979dfce45877643ef68f4c2c48777e |
| v4.02V      | b1d893c8a65094349f9033773a845137e9a1b4fa9b1f57bdb57755a2a2dcb708 |
| v4.02V      | d21c878dcc169961bebda6e7712b46adf5ec3818cc9469debf1534ffa8d74fb7 |
| v4.08V      | d4566c778c2c35e6162a8e65bb297c3522dd481946b81baffc15bb7d7a4fe531 |

*URLs*

|----------------------|----------------------------------------|
| **Purpose**          | **URL**                                |
| Malware distribution | hxxp://103.41.204\[.\]104/k.php        |
| C2                   | hxxp://152.36.128\[.\]18/cgi-bin/p.cgi |

## Additional Resources

* [Reversing a Prometei botnet binary with r2 and AI](https://medium.com/p/3cdb3dc6ffab) - Axelle Apvrille, Fortinet
* [IoT Malware Journals: Prometei (Linux)](https://cujo.com/blog/iot-malware-journals-prometei-linux) - CUJO AI
* [Prometei botnet and its quest for Monero](https://blog.talosintelligence.com/prometei-botnet-and-its-quest-for-monero) - Cisco Talos

Back to top

### Tags

* [Botnet](https://unit42.paloaltonetworks.com/tag/botnet/ "botnet")
* [Cryptominers](https://unit42.paloaltonetworks.com/tag/cryptominers/ "Cryptominers")
* [Linux](https://unit42.paloaltonetworks.com/tag/linux/ "Linux")
* [Monero](https://unit42.paloaltonetworks.com/tag/monero/ "Monero")  
  [Threat Research Center](https://unit42.paloaltonetworks.com "Threat Research") [Next: Exploring a New KimJongRAT Stealer Variant and Its PowerShell Implementation](https://unit42.paloaltonetworks.com/kimjongrat-stealer-variant-powershell/ "Exploring a New KimJongRAT Stealer Variant and Its PowerShell Implementation")

### Table of Contents

* 

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* [The Machine With Many Faces: Post-Exploitation Identity Misuse in SPIFFE/SPIRE](https://unit42.paloaltonetworks.com/kubernetes-spiffe-spire-identity-spoofing/ "article - table of contents")
* [Kimwolf v7: An Evolution of the Kimwolf Botnet](https://unit42.paloaltonetworks.com/kimwolf-v7-botnet-malware/ "article - table of contents")
* [Copy Fail: What You Need to Know About the Most Severe Linux Threat in Years](https://unit42.paloaltonetworks.com/cve-2026-31431-copy-fail/ "article - table of contents")

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* [JSON](https://unit42.paloaltonetworks.com/tag/json/ "JSON")  
  [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/kubernetes-spiffe-spire-identity-spoofing/ "The Machine With Many Faces: Post-Exploitation Identity Misuse in SPIFFE/SPIRE")  
  ![Pictorial representation of a pay-per-install threat group campaign prodiving infection service for spreading malware. A close-up of a computer circuit board with a central microchip is depicted. Red digital data streams in the form of glowing binary numbers and arrows appear to flow in and out of the chip, symbolizing data processing and transfer. The scene is illuminated with a futuristic blue and red glow.](https://unit42.paloaltonetworks.com/wp-content/uploads/2026/09/04_Malware_Category_1920x900-6-786x368.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/) September 9, 2026 [#### Untracked Nightmares: The Threats Hiding Behind Commodity Infrastructure](https://unit42.paloaltonetworks.com/ppi-network-malware-campaign-analysis/)

* [ARKTunnel](https://unit42.paloaltonetworks.com/tag/arktunnel/ "ARKTunnel")

* [C2](https://unit42.paloaltonetworks.com/tag/c2/ "C2")

* [CL-CRI-1171](https://unit42.paloaltonetworks.com/tag/cl-cri-1171/ "CL-CRI-1171")  
  [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/ppi-network-malware-campaign-analysis/ "Untracked Nightmares: The Threats Hiding Behind Commodity Infrastructure")  
  ![Pictorial representation of attackers using AI tools to target Latin American organizations. A vibrant cityscape with silhouettes of numerous people walking along a bustling street. The scene is illuminated by bright urban lights and digital-like particles, creating a dynamic and futuristic atmosphere.](https://unit42.paloaltonetworks.com/wp-content/uploads/2026/09/AdobeStock_768915868-2-1-786x373.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/) September 3, 2026 [#### Attackers Expose Ongoing AI Tool Use Targeting Organizations in Latin America](https://unit42.paloaltonetworks.com/ai-tool-use-targeting-latam-orgs/)

* [Agentic AI](https://unit42.paloaltonetworks.com/tag/agentic-ai/ "Agentic AI")

* [ChatGPT](https://unit42.paloaltonetworks.com/tag/chatgpt/ "ChatGPT")

* [CL-CRI-1131](https://unit42.paloaltonetworks.com/tag/cl-cri-1131/ "CL-CRI-1131")  
  [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/ai-tool-use-targeting-latam-orgs/ "Attackers Expose Ongoing AI Tool Use Targeting Organizations in Latin America")  
  ![Pictorial representation of vishing campaigns in Microsoft Teams. A digital image of a skull formed by blue binary code on a black background, with scattered ones and zeros and digital noise, symbolizes how stealthy prompt injection attacks can exploit AI logic to bypass security controls.](https://unit42.paloaltonetworks.com/wp-content/uploads/2026/08/01_Malware_Category_1920x900-5-786x368.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/) August 31, 2026 [#### Spring Ring: An Inside Look at Voice Phishing Campaigns in Microsoft Teams](https://unit42.paloaltonetworks.com/spring-ring-voice-phishing-campaigns/)

* [Cloaked Ursa](https://unit42.paloaltonetworks.com/tag/cloaked-ursa/ "Cloaked Ursa")

* [Entra ID](https://unit42.paloaltonetworks.com/tag/entra-id/ "Entra ID")

* [Microsoft Teams](https://unit42.paloaltonetworks.com/tag/microsoft-teams/ "Microsoft Teams")  
  [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/spring-ring-voice-phishing-campaigns/ "Spring Ring: An Inside Look at Voice Phishing Campaigns in Microsoft Teams")  
  ![Pictorial representation of AI-enabled malware. A vibrant digital interface displaying various icons and graphs, resembling a futuristic network or data analysis dashboard. The scene is illuminated with glowing lights and patterns.](https://unit42.paloaltonetworks.com/wp-content/uploads/2026/08/AdobeStock_1270203474-2-1-786x368.png)  
  [![category icon](https://unit42.paloaltonetworks.com/wp-content/uploads/2024/06/icon-threat-research.svg)Threat Research](https://unit42.paloaltonetworks.com/category/threat-research/) August 25, 2026 [#### The State of AI-Enabled Malware August 2026: From Brand Abuse to Agentic Execution](https://unit42.paloaltonetworks.com/ai-enabled-malware-analysis/)

* [Backdoor](https://unit42.paloaltonetworks.com/tag/backdoor/ "backdoor")

* [Bitcoin](https://unit42.paloaltonetworks.com/tag/bitcoin/ "Bitcoin")

* [DLL hijacking](https://unit42.paloaltonetworks.com/tag/dll-hijacking/ "DLL hijacking")  
  [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/ai-enabled-malware-analysis/ "The State of AI-Enabled Malware August 2026: From Brand Abuse to Agentic Execution")  
  ![Pictorial representation of identity abuse through trusted communication channels. Close-up view of a digital screen displaying a glitched and pixelated image of a skull-like shape.](https://unit42.paloaltonetworks.com/wp-content/uploads/2026/08/02_Malware_Category_1920x900-2-786x368.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/) August 20, 2026 [#### Identity Abuse Through Trusted Communication Channels](https://unit42.paloaltonetworks.com/communication-channel-identity-risks/)

* [Authentication](https://unit42.paloaltonetworks.com/tag/authentication/ "authentication")

* [Identity theft](https://unit42.paloaltonetworks.com/tag/identity-theft/ "identity theft")

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  [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/communication-channel-identity-risks/ "Identity Abuse Through Trusted Communication Channels")  
  ![Pictorial representation of Kimwolf botnet malware family. Digital screen with a warning sign reading "Malware." The background features lines of computer code and graphics, creating a sense of cybersecurity threat.](https://unit42.paloaltonetworks.com/wp-content/uploads/2026/08/07_Malware_Category_1920x900-3-786x368.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/) August 11, 2026 [#### Kimwolf v7: An Evolution of the Kimwolf Botnet](https://unit42.paloaltonetworks.com/kimwolf-v7-botnet-malware/)

* [Android APK](https://unit42.paloaltonetworks.com/tag/android-apk/ "Android APK")

* [Ethereum](https://unit42.paloaltonetworks.com/tag/ethereum/ "Ethereum")

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  [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/kimwolf-v7-botnet-malware/ "Kimwolf v7: An Evolution of the Kimwolf Botnet")  
  ![Pictorial representatiom pf Aeternum's blockchain C2. A close-up of a computer circuit board with a central microchip is depicted. Red digital data streams in the form of glowing binary numbers and arrows appear to flow in and out of the chip. The scene is illuminated with a futuristic blue and red glow.](https://unit42.paloaltonetworks.com/wp-content/uploads/2026/08/04_Malware_Category_1920x900-4-786x368.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/) August 10, 2026 [#### The Permanent Threat: Analyzing Aeternum's Blockchain-Based C2 Operations and Communications](https://unit42.paloaltonetworks.com/aeternum-blockchain-c2-analysis/)

* [Aeternum](https://unit42.paloaltonetworks.com/tag/aeternum/ "Aeternum")

* [Infection chain](https://unit42.paloaltonetworks.com/tag/infection-chain/ "infection chain")

* [JSON](https://unit42.paloaltonetworks.com/tag/json/ "JSON")  
  [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/aeternum-blockchain-c2-analysis/ "The Permanent Threat: Analyzing Aeternum’s Blockchain-Based C2 Operations and Communications")  
  ![Pictorial representation of ChainDrop, a self-propagating npm worm. An artistic depiction of a digital workspace featuring an open laptop with a red virus on the screen.](https://unit42.paloaltonetworks.com/wp-content/uploads/2026/08/03_Malware_Category_1920x900-7-786x368.jpg)  
  [![category icon](https://unit42.paloaltonetworks.com/wp-content/uploads/2024/07/top-threats.svg)High Profile Threats](https://unit42.paloaltonetworks.com/category/top-cyberthreats/) August 6, 2026 [#### ChainDrop: Inside a Self-Propagating npm Worm](https://unit42.paloaltonetworks.com/chaindrop-npm-worm-analysis/)

* [Blockchain](https://unit42.paloaltonetworks.com/tag/blockchain/ "blockchain")

* [ChainDrop](https://unit42.paloaltonetworks.com/tag/chaindrop/ "ChainDrop")

* [Claude code](https://unit42.paloaltonetworks.com/tag/claude-code/ "Claude code")  
  [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/chaindrop-npm-worm-analysis/ "ChainDrop: Inside a Self-Propagating npm Worm")

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