Threat Research Report Team

IcedID Campaign Spotted Being Spiced With Excel 4 Macros

Written by Uptycs Threat Research | Apr 7, 2021 12:30:05 PM

Research by Ashwin Vamshi and Abhijit Mohanta

 

Quick-Look Summary:

  • IcedID appears to be taking the place of Emotet, based on a significant influx of samples in our threat intelligence systems
  • A majority of these IcedID samples are distributed via xlsm files attached to emails
  • We’ve identified three ways these Excel 4 Macros are evading detection

 

Uptycs’ threat research team has observed an ongoing IcedID campaign heavily using Microsoft Excel xlsm documents with Excel 4 Macros and techniques to hinder analysis. Xlsm supports the embedding of Excel 4.0 Macros formulas used in Excel spreadsheet cells. Attackers leverage this functionality to embed arbitrary commands, which usually download a malicious payload from the URL using the formulas in the document.

 

In this piece, we’ll provide an analysis on our discovery of the ongoing campaign via Uptycs’ threat intelligence.

 

IcedID

IcedID, also known as BokBot, is a modular banking trojan that targets user financial information and is capable of acting as a dropper for other malware. In a three month span, we have observed over 15,000 HTTP requests from malicious documents, the majority of which were Microsoft Excel spreadsheets carrying an extension.

 

Based on this increasing trend, we believe that IcedID will emerge as an incarnation of Emotet after its disruption. IcedID has also been recently reported to deploy ransomware operations, moving towards a malware-as-a-Service (MaaS) model to distribute malware.

 

Threat Intelligence Analysis

Our in-house threat intelligence systems provide us intelligence on the latest threats, threat actors and campaigns through an osquery-based sandbox. The threat research team regularly monitors these systems to ensure robust coverage, also ingesting the latest intelligence and indicators into our integrated Threat Intelligence provided in the Uptycs Security Analytics Platform.

 

From January 1, 2021 through March 31, 2021, we identified over 15,000 HTTP requests from over 4,000 similar malicious documents (see Figure 1).

Figure 1: Threat Intelligence system HTTP requests cluster. (Click to see larger version.)

 

93% of these malicious office documents belong to a Microsoft Excel spreadsheet file carrying extensions xls or xlsm (see Figure 2).

Figure 2: Malicious document types. 

 

The Microsoft Excel spreadsheet files (.xlsm, xls) were carrying the names:

  •  overdue
  • claim
  • calculation
  • inform
  • refusal
  • complaint and compensation claim

These files appeared with randomly appended names like Claim_331903057_03292021.xlsm.

The http request of the malicious documents consisted of a second stage executable file (PE - EXE/DLL) with a fake extension dat, jpg and gif (see Figure 3).

Figure 3: Second stage PE file with fake extensions like dat,gif and jpg. 

 

The fake extensions were the second stage payload of Qakbot and IcedID malware families. Qakbot and IcedID are generally distributed via email lures containing malicious office documents as an attachment. The next stage executables (PE - EXE/DLL) are downloaded via compromised websites with fake extensions. 

 

Technical Analysis: XLSM Files Excel 4.0 Macros

A majority of these Microsoft Excel spreadsheet documents were in xlsm format. One such xlsm document that recently hit our in-house osquery-based sandbox was titled, “Claim_331903057_03292021.xlsm” (Hash - 43226874cd34010fa7c8286974174b5e261677ed0b48ed0632903112f68720a8). 

Upon execution, the xlsm file presented a message to enable content to view the message. 

Figure 4: Message Upon Execution of Claim_331903057_03292021.xlsm. (Click to see larger version.)

 

Enabling the content allows the embedded Excel 4 macro formulas to execute. Upon investigation we identified three interesting techniques used to hinder analysis: 

  1. Hiding macro formulas in three different sheets
  2. Masking the macro formula using a white font on white background 
  3. Shrinking the cell contents and making the original content invisible 

Figure 5: Hidden macro found in Claim_331903057_03292021.xlsm. (Click to see larger version.) 

 

Upon unmasking the anti-analysis techniques, the Excel 4 macro formula used for downloading the IcedID loader payloads was revealed.

Figure 6: Unhidden XLM 4 macros - the IcedID payload URL’s. (Click to see larger version.) 

 

The macros which are distributed across various cells download three DLL files with the .dat extension from the command-and-control (C2) servers to “C:\Users\Admin” - Hodas.vyur, Hodas.vyur1 and Hodas.vyur2. These DLL files are executed using - "rundll32 DllName, DllRegisterServer".

The IcedID loader then retrieves information about the victim PC and sends it over the C2 server in an encoded form, as shown in Figures 7 and 8.

Figure 7: IcedID loader encoding routine. 

Figure 8: IcedID loader http request headers. (Click to see larger version.) 

 

The http headers translate to the following:

  • _gat= NativeSystemInfo
  • _u= UserName
  • _gid= AdaptersInfo
  • __io=AccountName

Uptycs’ EDR capabilities detected this attack with a threat score of 10/10 as shown in the figure below.

Figure 9: Uptycs EDR detection of the IcedID xlsm file. (Click to see larger version.) 

 

Given our recent observations, we believe that IcedID will emerge as an incarnation of Emotet, moving towards a Malware-as-a-Service (MaaS) model to distribute malware. We recommend the following measures for enterprise users and administrators to identify and protect against such attacks:

  • Deploy a multi-layered and real-time detection solution to label, classify, score and prioritizes incidents.
  • Regularly monitor the suspicious processes, events, and network traffic spawned on the execution of any suspicious documents arriving from untrusted sources.
  • Always be cautious in opening documents from unknown or untrusted sources.
  • Keep systems updated with the latest releases and patches.


Credits: Thanks to our Uptycs Team members Rohit Bhagat for making enhancements with clustering in our threat intelligence portal and Siddharth Sharma for the analysis.

 

IOCs

Hashes

7152b279e52e2c6fc0f1cfdafcdccfb45285805de1600d47b28cddac9a1c2bb1 

57494b5bbe886b1fa00dc81f3f835be03769ed2d7eddd7833991ef57d2c45a2d

072c80376261caa87677abfb9dfc268ef0ef49e1611c1c554368a3501231ad6e

f13f315f4c463e582676a253e6b1a3f487e4f98c2bc6bb40f072dae005020d9b

0bcf2c56c5d3a2c17d1789ac4f3e22b43279957864f30170183e235fa555b4fc

f151ec5b824c7c7eef1e2178c2701353cdf349ac32db5ba09d17474093f77abf

c29b93cf7a5134d0569d325fce06472e511c9f244781e05f9ec1efab261faa64

7a9f6247087a03c17273a1d44dc996d93035220d8fa01b7c7d6f29e73481397b

ac7ffe03290d646f0d6b2b70d72bdf5ddec6ea68518a46a43f6cadb8405d55c1

6962c82ca95e3804e022e42c91f1708f8912a7d798d9baccaaa13bc4a04065d3

62db4784c54b77efaacdc85bd6ef2eabb45dcd5f8eec6b3495047b74304fa004

cc804b05d5af7ba2fb752fee78584d8961261900645cc3ceecadd81c3408914b

27f39954ae5f9a1be4a456ed55dbd4b56194729ebb1f23f66c0bdb08ecdf3a20

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a76722baf26a2d18dcee08a70df303b8cc330cddb3acc94719b57dd8c12f02cd

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d62bff7ef25d08b4d57333e3b7afd9ef8aba7ecdd5e5c2ccdb6351d3808e3e32

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a1c74b07693b5c505edf3682a1c0703229eff8e71b3d61718b59c06e993df226

URLs

missimokotov[.]space

metaflip[.]io

partsapp[.]com[.]br

usaaforced[.]fun

agenbolatermurah[.]com

tajushariya[.]com

columbia[.]aula-web[.]net