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# Analysis of Smoke Loader in New Tsunami Campaign

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  Published:December 19, 2018

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  * [Azorult](https://unit42.paloaltonetworks.com/tag/azorult/)
  * [Japan](https://unit42.paloaltonetworks.com/tag/japan/)
  * [Marcher](https://unit42.paloaltonetworks.com/tag/marcher/)
  * [Smoke Loader](https://unit42.paloaltonetworks.com/tag/smoke-loader/)

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  On November 8th, the Japanese Meteorological Agency issued an [alert](https://www.jma.go.jp/jma/press/1811/08c/WARNmail_20181108.pdf) about a fake tsunami warning email masquerading as coming from the agency. According to the alert, the email was written in Japanese and asked recipients to click the link to confirm their evacuation area from a tsunami after an earthquake. The link in the email is not critical information to save your life but malware to steal crucial information from you. The malware is [Smoke Loader](https://cyb3rsleuth.blogspot.com/2011/08/smoke-loader.html), infamous commodity malware used by [various cybercriminals since 2011](https://isc.sans.edu/forums/diary/Resumethemed+malspam+pushing+Smoke+Loader/23054/).

Smoke Loader is a modular loader where attackers can select any payload to be installed on the victim by Smoke Loader. Thus, the final payload can vary between attacks. For example, we previously reported on the [Retefe Banking Trojan being distributed by Smoke Loader in Sweden, and Japan](https://blog.paloaltonetworks.com/2015/08/retefe-banking-trojan-targets-sweden-switzerland-and-japan/). We have also seen backdoors, ransomware, cryptominers, password stealers, Point-of-Sale (PoS) malware, and banking Trojans installed by Smoke Loader.

This attack seems to be aiming to steal credentials from unidentified targets in Japan and took a similar approach to normal targeted attacks. The attacker registered the fake Japanese government agency domain and ensured the file path to the malware on the server is close to the legitimate agency web site. They wrote the lure email in fluent Japanese and did not distribute it broadly. In late November, the attacker started using another commodity malware known as AzoRult. Figure 1 shows the timeline of this attack.

![](https://unit42.paloaltonetworks.com/wp-content/uploads/2018/12/SmokeLoader1.png)

*Figure 1 Time line of the attack*

# Smoke Loader Analysis

Though it's been seven years since Smoke Loader first appeared, the author keeps updating the code. [Malwarebytes](https://blog.malwarebytes.com/threat-analysis/2016/08/smoke-loader-downloader-with-a-smokescreen-still-alive/) published an excellent analysis of Smoke Loader in 2016. The samples we looked at added the following techniques to avoid detection or analysis.

* Code obfuscation by junk jump
* Decrypts subroutines and encrypts them after execution
* Employs [PROPagate](https://www.hexacorn.com/blog/2017/10/26/propagate-a-new-code-injection-trick/) trick to inject second stage code into an explorer.exe process
* Changes the algorithm of generating the unique ID
* Encrypts network traffics and payload file

Some of these techniques were already reported by [FireEye](https://www.fireeye.com/blog/threat-research/2018/06/rig-ek-delivering-monero-miner-via-propagate-injection-technique.html) and [Talos](https://blog.talosintelligence.com/2018/07/smoking-guns-smoke-loader-learned-new.html) this year. We will focus on the unique ID, C2 communication, and the payload in this blog.

## Generating a unique ID

Initially, the threat generates a unique ID for the compromised machine from the computer name, the hardcoded static number(0B0D0406), and the volume serial number of the system drive. Smoke Loader uses the unique ID for three purposes:

* Tracking the compromised machine at C2.
* Encrypting payload by the ID.
* Creating random file names for persistence.

Here's how to create the unique ID. If the computer name is "Test\_PC" and the volume serial number is "12345678", the threat appends the three values like the following:

"Test\_PC" + "0B0D0406" + "12345678" = "Test\_PC0B0D040612345678"

and it calculates the MD5 hash value of the string,

MD5("Test\_PC0B0D040612345678") = 41EE612602833345FC5BD2B98103811C

It then appends the volume serial to the hash value and gets the 40 characters unique ID.

"41EE612602833345FC5BD2B98103811C" + "12345678" = "41EE612602833345FC5BD2B98103811C12345678"

Next, Smoke Loader generates two strings based on the first eight characters and the last eight characters of the ID. Following is the algorithm written in Python.

# the unique ID id = "41EE612602833345FC5BD2B98103811C12345678" def makeStrings(\_s): results = "" for n in \_s: results += chr((ord(n) - 0x30) + ord('a')) return results stringA = makeStrings(id\[:8\]) \# "ebvvgbcg" stringB = makeStrings(id\[-8:\]) \# "bcdefghi"

|-------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 1 2 3 4 5 6 7 8 9 10 11 12 13 | # the unique ID id = "41EE612602833345FC5BD2B98103811C12345678" def makeStrings(\_s): results = "" for n in \_s: results += chr((ord(n) - 0x30) + ord('a')) return results stringA = makeStrings(id\[:8\]) # "ebvvgbcg" stringB = makeStrings(id\[-8:\]) # "bcdefghi" |

Smoke Loader uses these strings for the file name. It copies itself as follows.

%APPDATA%\\Microsoft\\Windows\\\[stringA\\\[stringB\].exe

and it creates following shortcut file to execute the threat when the computer starts.

%StartUp%\\\[stringA\].lnk

These two strings look random. However, the attacker always generates two identical strings to the compromised machine since it is based on the static values of the environment.

## C2 Communication

Smoke Loader contains the following hardcoded C2 address.

jma-go\[.\]jp/js/metrology/jma.php

An outline of initial C2 communication follows.

1. Smoke Loader sends the encrypted data to C2 by HTTP POST method.
2. C2 server replies HTTP 404 response (Not Found) with encrypted data.
3. Smoke Loader extracts the plugin from C2, encrypts it by using the unique ID, and saves it local disk.
4. Smoke Loader extracts the payload modules from the encrypted plugin file and injects them into an Explorer.exe process.

![](https://unit42.paloaltonetworks.com/wp-content/uploads/2018/12/SmokeLoader2.png)

*Figure 2 Initial communication*

## Making initial POST data

Smoke Loader creates the data to send C2. At offset 0, there is a marker 'E207' followed by the unique ID (Figure 3). The marker is '072E' in [little-endian form](https://en.wikipedia.org/wiki/Endianness) and '2018' in decimal. Smoke Loader uses the marker every time communicating with C2.

![](https://unit42.paloaltonetworks.com/wp-content/uploads/2018/12/SmokeLoader3.png)

*Figure 3 POST data*

Smoke Loader finally encrypts the data with RC4 cipher by using the static key 0x161A9A0C and send it to the C2 by HTTP POST method.

## Plugin from C2

The C2 server responds the plugin data contains the final payload with HTTP 404 status code. Smoke Loader obtains the encrypted header size from the first DWORD value of the plugin and decrypts the following bytes with RC4 cipher by the different static key 0x1D17D70A. Figure 4 shows the plugin data after decryption. It then verifies the marker 'E207' and gets the plugin size which is defined in the "plugin\_size' variable.

![](https://unit42.paloaltonetworks.com/wp-content/uploads/2018/12/SmokeLoader4.png)

*Figure 4 Reply data from C2*

After checking the plugin size, Smoke Loader encrypts plugin data with an RC4 cipher using the unique ID and saves it as the following path with the generated string from the ID. Since the file is encrypted with the distinct value to the machine, the file hash is always different on each computer even if the plugin is identical.

%APPDATA%\\Microsoft\\Windows\\\[stringA\]\\\[stringA\]

Then Smoke Loader decrypts the saved plugin data. The plugin data has thirteen-byte length header and consists from following values.

|------------|----------|-------------------------------------|
| **Offset** | **Size** | **Value**                           |
| 0x00       | DWORD    | Plugin size                         |
| 0x04       | DWORD    | Plugin marker, 0xD5A08DD8           |
| 0x08       | DWORD    | Unknown, possible plugin identifier |
| 0x0C       | BYTE     | Number of modules in the plugin     |

*Table 1 Plugin header*

The plugin can contain multiple modules. In the case of this tsunami campaign, the payload contains six modules. Each module has a header that includes its size and RC4 key to decrypt.

![](https://unit42.paloaltonetworks.com/wp-content/uploads/2018/12/SmokeLoader5.png)

*Figure 5 Plugin header and module header*

Smoke Loader decrypts a module with RC4 cipher by the specified key. After verifying architecture flag (64 bit or 32 bit) in the module, the threat executes Explorer.exe process and injects the module into the process. Since the threat repeats this the number of modules times, there should be multiple Explorer.exe processes on the compromised machine.

## Payload Modules

Table 2 shows the list of modules in this campaign. There are three types of functions in two architectures.

|------------|------------------|-------------------------------------------------------------|
| **Module** | **Architecture** | **Function**                                                |
| 1          | 32 bit           | Stealing stored credential from browsers and email programs |
| 2          | 64 bit           | Incomplete porting of Module 1                              |
| 3          | 32 bit           | Stealing data sending from Browsers                         |
| 4          | 64 bit           | Same with Module 3                                          |
| 5          | 32 bit           | Stealing login credential from email protocols              |
| 6          | 64 bit           | Same with Module 5                                          |

*Table 2 Module list*

When injecting modules, Smoke Loader passes the configuration data including the following values to the modules for C2 communication. Each module has exact same C2 communication code with the loader.

* RC4 encryption key for HTTP POST
* The unique ID
* C2 URL

#### Module 1

This module aims to steal stored credentials in following programs.

* Internet Explorer
* Firefox
* Chrome
* Opera
* Chromium
* Yandex
* Amigo
* QQBrowser
* Outlook
* Thunderbird
* WinSCP

Module 2 contains a partial code of Module 1 but appears to be in the under development phase.

#### Modules 3 and 4

These modules hook APIs and steals all data being sent data from following browsers.

* Firefox
* Internet Explorer
* Edge
* Chrome
* Opera

#### Modules 5 and 6

These modules hook APIs and steals user id, password, and their associated remote ftp and email server addresses on following protocols.

* FTP on port 21
* SMTP on port 25, 587, 2525
* POP3 on port 110
* IMAP on port 143

## Infrastructures and another tools

A person registered the domain name jma-go\[.\]jp on Oct 30, 2018. The domain does not have a second level domain name, such as .co.jp nor .ne.jp. It is defined as [General-use JP domain name](https://www.nic.ad.jp/en/newsletter/no18/sec0301.html) by JPNIC. In the definition, JPNIC described the registration requirements of the general-use JP domain name as following.

*'In the general-use JP domain name system, we have established what we call a "local presence" prerequisite, which asks for a connection or relationship with Japan.'*

According to the Whois information of the domain, the domain was owned by a person who has a postal address in Russia and uses a Gmail address. The registrant may change the postal address after registration or could prove a connection or relationship with Japan.

The same person also registered another eight domains with the same Gmail address. We found that the three of the domains were used in attacks involving the Android banking trojan/password stealing malware, [Marcher](https://info.phishlabs.com/blog/analyzing-android.trojan.marcher) from Feb to March in 2018. We haven't identified the targets of the mobile malware yet. Following is the sample list.

|---------------------|------------------------------------------------------------------|
| **Domain**          | **Marcher SHA256**                                               |
| Sungmap\[.\]at      | 254925e47fbfff4786eada6cbcb0805ed79d9bd417955c016236143eb2ecd827 |
| Mountainhigh\[.\]at | 75edaae605622e056a40c2d8a16b86654d7ddc772f12c4fc64292a32a96fde7a |
| Racemodel\[.\]at    | 55ae2b00234674d82dcc401a0daa97e7b3921057a07970347815d9c50dddbda8 |

*Table 3 Domains and Marcher hashes*

On November 25, we confirmed that another malware, AzoRult, was served from the same URL previously serving Smoke Loader. [AzoRult](https://www.vkremez.com/2017/07/lets-learn-reversing-credential-and.html) is also a commodity malware that steals credentials, cookies, and cryptocurrencies. This AzoRult accesses the following C2 address, which is a different path on the same C2 server with the Smoke Loader.

www.jma-go\[.\]jp/java/java9356/index.php

We observed three AzoRult samples using the same C2 at the time of writing this blog. The attacker distributes those files from following URLs.

* thunderbolt-price\[.\]com/Art-and-Jakes/Coupon.scr
* bite-me.wz\[.\]cz/1.exe

thunderbolt-price\[.\]com was registered in 2012 in Japan, and the Privacy Protection Service protects its registrant information. The website of the domain does not host content at the top page as of today. According to the Google search, the domain appears in shopping related pages from 2014 to 2015. Interestingly, those web pages are low-quality and mostly hosted on hacked web servers. These web pages are likely created for malicious Search Engine Optimization (SEO) backlinks which gain scores for better page rank in the search engine results. Figure 6 is a ladies' shoes shopping web page hosted on the website of a construction and building materials company in Turkey.

![](https://unit42.paloaltonetworks.com/wp-content/uploads/2018/12/SmokeLoader6.png)

*Figure 6 SEO backlinks on hacked site*

The domain may have been used for a shopping or affiliate site previously, but the owner does not use it for that purpose anymore. It looks like the attacker compromised the website, which had not been used for few years, and is using it for distributing AzoRult. However, we don't know the connection between the attacker and the current owner of the thunderbolt-price\[.\]com.

Table 4 shows the timetable of infrastructure changes and timestamp of malware.

|--------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| **Date**     | **Activities**                                                                                                                                                                                                         |
| Oct 30, 2018 | Registers jma-go\[.\]jp domain                                                                                                                                                                                         |
| Nov 5, 2018  | Smoke Loader  3d75eabb8460450a49e2fb68053d9f591efe5aefd379205e5cc3af574bb9f415                                                                                                                                   |
| Nov 6, 2018  | Smoke Loader  8a1aab36c3940e4dd83f489432fa710fba582e254c3a52459c52826d6a822f2d 0db3fd1394b15b98f4e112102cdec6cc569062cdb199b66c5838c54cbc286277 be3817b9f14df3e0af82ae47b0904ac38d022e2b2d7bb7f8f9800b534b60183c |
| Nov 8, 2018  | Smoke Loader  27aa9cdf60f1fbff84ede0d77bd49677ec346af050ffd90a43b8dcd528c9633b                                                                                                                                   |
| Nov 9, 2018  | Smoke Loader  42fdaffdbacfdf85945bd0e8bfaadb765dde622a0a7268f8aa70cd18c91a0e85                                                                                                                                   |
| Nov 15, 2018 | Smoke Loader  fb3def9c23ba81f85aae0f563f4156ba9453c2e928728283de4abdfb5b5f426f                                                                                                                                   |
| Nov 24, 2018 | AzoRult  70900b5777ea48f4c635f78b597605e9bdbbee469b3052f1bd0088a1d18f85d3                                                                                                                                        |
| Nov 25, 2018 | Smoke Loadera  1ce72ec2f2fe6139eb6bb35b8a4fb40aca2d90bc19872d6517a6ebb66b6b139                                                                                                                                   |
| Nov 27, 2018 | AzoRult  7337143e5fb7ecbdf1911e248d73c930a81100206e8813ad3a90d4dd69ee53c7                                                                                                                                        |
| Nov 30, 2018 | Changes the IP address associates with jma-go\[.\]jp  from 47.74.255\[.\]111 to 149.129.135\[.\]53                                                                                                               |
| Dec 3, 2018  | AzoRult7  48c94bfdb94b322c876114fcf55a6043f1cd612766e8af1635218a747f45fb9                                                                                                                                        |

*Table 4 Timetable*

# Conclusion

Commodity malware is widely used by cyber criminals these days. The authors of malware keep updating the code to expand the capabilities and trying to gain more customers. As we detailed in this article, Smoke Loader encrypts network traffic and files with various keys to avoid analysis. We recently published a report of [a new variant of AzoRult](https://blog.paloaltonetworks.com/2018/11/unit42-new-wine-old-bottle-new-azorult-variant-found-findmyname-campaign-using-fallout-exploit-kit/) that introduces a new advanced obfuscation technique to evade detection by security products. Attackers, like those in this tsunami campaign, can pick up malware fitting for their purpose from online threat marketplaces.

Palo Alto Networks customers are protected from this threat in the following ways:

* AutoFocus customers can track these samples with the [Smoke Loader](https://autofocus.paloaltonetworks.com/#/tag/Unit42.SmokeLoader), [AzoRult](https://autofocus.paloaltonetworks.com/#/tag/Unit42.AzoRult) and [Marcher](https://autofocus.paloaltonetworks.com/#/tag/Commodity.Marcher).
* WildFire detects all files mentioned in this report with malicious verdicts.
* Traps blocks all of the files described in this article.

# IoC

## Smoke Loader Samples

3d75eabb8460450a49e2fb68053d9f591efe5aefd379205e5cc3af574bb9f415  
8a1aab36c3940e4dd83f489432fa710fba582e254c3a52459c52826d6a822f2d  
0db3fd1394b15b98f4e112102cdec6cc569062cdb199b66c5838c54cbc286277  
be3817b9f14df3e0af82ae47b0904ac38d022e2b2d7bb7f8f9800b534b60183c  
27aa9cdf60f1fbff84ede0d77bd49677ec346af050ffd90a43b8dcd528c9633b  
42fdaffdbacfdf85945bd0e8bfaadb765dde622a0a7268f8aa70cd18c91a0e85  
fb3def9c23ba81f85aae0f563f4156ba9453c2e928728283de4abdfb5b5f426f  
a1ce72ec2f2fe6139eb6bb35b8a4fb40aca2d90bc19872d6517a6ebb66b6b139

## AzoRult Samples

70900b5777ea48f4c635f78b597605e9bdbbee469b3052f1bd0088a1d18f85d3  
7337143e5fb7ecbdf1911e248d73c930a81100206e8813ad3a90d4dd69ee53c7  
748c94bfdb94b322c876114fcf55a6043f1cd612766e8af1635218a747f45fb9

## Marcher Samples

55ae2b00234674d82dcc401a0daa97e7b3921057a07970347815d9c50dddbda8  
75edaae605622e056a40c2d8a16b86654d7ddc772f12c4fc64292a32a96fde7a  
254925e47fbfff4786eada6cbcb0805ed79d9bd417955c016236143eb2ecd827

## Infrastructures

http://jma-go\[.\]jp/js/metrology/jma.php  
http://www.jma-go\[.\]jp/java/java9356/index.php  
http://jma-go\[.\]jp/jma/tsunami/tsunami\_regions.scr  
http://thunderbolt-price\[.\]com/Art-and-Jakes/Coupon.scr  
http://bite-me.wz\[.\]cz/1.exe  
https://racemodel\[.\]at  
https://mountainhigh\[.\]at  
https://sungmap\[.\]at

# Appendix

## .bits domain support

Smoke Loader supports .bit Top Level Domains (TLD). Author of the threat includes the following hard-coded DNS servers to resolve .bit domains. Though we haven't seen any .bit domain in Tsunami campaign, we listed the IP addresses just in case for another attack by the threat.

192\.71.245\[.\]208  
58\.251.121\[.\]110  
101\.226.79\[.\]205  
188\.165.200\[.\]156  
185\.121.177\[.\]177  
185\.121.177\[.\]53  
144\.76.133\[.\]38  
169\.239.202\[.\]202  
5\.135.183\[.\]146  
193\.183.98\[.\]66  
51\.254.25\[.\]115  
51\.255.48\[.\]78
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### Tags

* [Azorult](https://unit42.paloaltonetworks.com/tag/azorult/ "Azorult")
* [Japan](https://unit42.paloaltonetworks.com/tag/japan/ "Japan")
* [Marcher](https://unit42.paloaltonetworks.com/tag/marcher/ "Marcher")
* [Smoke Loader](https://unit42.paloaltonetworks.com/tag/smoke-loader/ "Smoke Loader")  
  [Threat Research Center](https://unit42.paloaltonetworks.com "Threat Research") [Next: Shamoon 3: Modified Open-Source Wiper Contains Verse from the Quran](https://unit42.paloaltonetworks.com/shamoon-3-modified-open-source-wiper-contains-verse-from-the-quran/ "Shamoon 3: Modified Open-Source Wiper Contains Verse from the Quran")

### Table of Contents

* 

### Related Articles

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* [Diving Into Glupteba's UEFI Bootkit](https://unit42.paloaltonetworks.com/glupteba-malware-uefi-bootkit/ "article - table of contents")
* [SilverTerrier: 2019 Nigerian Business Email Compromise Update](https://unit42.paloaltonetworks.com/silverterrier-2019-update/ "article - table of contents")

## Related Resources

![Pictorial representation of post-exploitation identity misuse in SPIFFE/SPIRE. Close-up of a person wearing glasses, with computer code reflected in the lenses.](https://unit42.paloaltonetworks.com/wp-content/uploads/2026/09/12_Security-Technology_Category_1920x900-786x368.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 10, 2026 [#### The Machine With Many Faces: Post-Exploitation Identity Misuse in SPIFFE/SPIRE](https://unit42.paloaltonetworks.com/kubernetes-spiffe-spire-identity-spoofing/)

* [API](https://unit42.paloaltonetworks.com/tag/api/ "API")

* [Cryptographic](https://unit42.paloaltonetworks.com/tag/cryptographic/ "cryptographic")

* [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")

* [HTTP](https://unit42.paloaltonetworks.com/tag/http/ "HTTP")  
  [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")  
  ![Pictorial representation of Token-jacking. A person types on a laptop with multiple digital interface elements projected, including an "AI" icon](https://unit42.paloaltonetworks.com/wp-content/uploads/2026/08/AdobeStock_1246251272-2-786x369.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 6, 2026 [#### Token Jacking: Cybercriminals Could Be Stealing Your AI Resources](https://unit42.paloaltonetworks.com/ai-token-jacking/)

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

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

* [API keys](https://unit42.paloaltonetworks.com/tag/api-keys/ "API keys")  
  [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-token-jacking/ "Token Jacking: Cybercriminals Could Be Stealing Your AI Resources")

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