Targeted Phishing Attack against Ukrainian Government Expands to Georgia

Written by Avigayil Mechtinger

    Share article
    FacebookTwitterLinkedInRedditCopy Link

    Top Blogs

    In May 2021, Fortinet published a report about the early stages of an ongoing phishing attack against the Ukrainian government. The attack, initially based on the Saint Bot downloader, also targeted Georgia as reported by Malwarebytes. Since June we have seen this threat actor expand its operation with new samples targeting government entities in Georgia. In this report we will cover the new malware samples we found.

    Method of Infection

    The attack’s entry point is a spear phishing email referencing government-related topics including veterans, Ukraine’s Anti-Terrorist Operation (ATO), Georgia’s Internally Displaced Persons (IDPs), organizations in Georgia’s private sector and COVID-19. The attack mainly targets government agencies in Ukraine and Georgia.

    The Malware

    The main payload delivered by the malware is an infostealer written in AutoIt. Its main goal is to steal files from the victim’s machine, uploading them to a predefined Command and control (C2) server. Based on victimology and the fact that this attack tries to steal files from government entities, a classic goal of nation-state groups, it is likely operated by a Russian nation-state. There are also several similarities between this attack and past APT28 campaigns which we will discuss later. Below we summarize the early stages of the attack and show the latest malware targeting government entities in Georgia. We assess with high confidence that this attack may expand its operations to target additional Eastern European countries.

    Technical Analysis

    The attack flow, described below, begins with a phishing email containing a malicious shortened URL. The URL redirects to a Command and control (C2) where a ZIP file or malicious document is hosted. The ZIP file contains a malicious file and in some emails also a harmless PDF file. The malicious attachment varies between RTF, DOC, PDF, JS, LNK or EXE. Its main goal is to drop the packed payloads from the C2. The method in which a dropper contacts the C2 in order to deliver the packed payload varies between the different file types and stages of the attack. The packed executable loads an AutoIt payload into memory. The payload searches for files on the victim’s machine based on a list of file extensions and uploads them to a C2 that is hardcoded in the script.

    Attack flow.

    An example of one of the phishing emails sent to the Ukrainian government is below. The threat actor references payments made to veterans of the Anti-Terrorist Operation (ATO).

    Phishing email sent to the Ukrainian government. Translation from Ukrainian – Subject: “Payments to ATO Veterans.” Content: “It must be filled in and sent back.”

    The link, masqueraded as a Ukrainian .gov domain, is actually a shortened URL (https[://]cutt[.]ly/WcBTVdf) which contacts http[://]gosloto[.]site/doc/form_request.doc and downloads form_request.doc to the victim’s machine. This document is an RTF file that once runs will present content related to the Israeli Merkava, the main battle tank used by the Israeli Defense Forces.

    Reference to Israeli Merkava in the RTF file.

    This file is incharge of dropping the final payload from the C2. In other phishing emails, this file is named NATO_06042021 (44697aad796c0d82c1adbee15fd1266b).

    First we Take Kyiv, then we Take Tbilisi

    Combined with continuous attacks against Ukraine, the threat actor has expanded its campaign to target government entities in Georgia. The following malicious documents were uploaded to VirusTotal from Georgia on June 17 and July 5.
    b56975725c4e260370af540f9c0b6709 Georgia_Private_Sector_Poster_Inputs_06_2021.pdf
    900e892c8151f0f59a93af1206583ce6 2021-2022 Strategy Action Plan for IDPs.doc (translated from Georgian)
    333796e18eb3f3d1529d07ec90c63e61 Change to 828.doc (translated from Georgian)
    All three files have low detection rates in VirusTotal at the time of this writing. In the following sections we will describe each file’s behavior.

    b56975725c4e260370af540f9c0b6709 in VirusTotal.

    The PDF File

    The PDF file, named “Georgia_Private_Sector_Poster_Inputs_06_2021.pdf,” was uploaded to VirusTotal on June 17, 2021. The PDF contains an action object. Upon a victim opening the PDF it will send a query to Google containing the C2: http://www[.]google[.]com/url?q=http%3A%2F%2F93482432493824792343432843240234327488 The system will prompt a security warning allowing the document to contact “http[:]//”

    Action object in b56975725c4e260370af540f9c0b6709

    System prompt message.

    Once the document connects to Google a short series of network redirections occurs. First, Google will redirect to the C2’s URL. Then, as described in the image below, the C2 contains a frame with an src to another C2 URL (https[://]16868138130[.]space/000/), which then redirects to a shortened URL (https[://]qaz[.]im/load/rKtsZD/hDKKFD) using a meta refresh redirect. This will finally drop georgia_private_sector_poster_inputs_06_2021.cpl (02f0118bd15dabf727659b9fd27c86c9).

    Network redirections for delivering the payload.

    This redirection process, starting with Google as the first domain the PDF attempts to access, is an obvious Antivirus evasion technique. georgia_private_sector_poster_inputs_06_2021.cpl is a DLL which upon clicking on it, runs under a trusted control panel process. The DLL is incharge of dropping and running the packed payload from the C2, 16868138130[.]space/000/000.exe (41af4d9fbd0bc719212b78cd7a1b89ec). The packed malware loads the AutoIt payload into memory.

    Genetic report of 02f0118bd15dabf727659b9fd27c86c9. Drops 41af4d9fbd0bc719212b78cd7a1b89ec which loads AutoIt into memory.

    IoC report of 02f0118bd15dabf727659b9fd27c86c9 in Intezer Analyze.

    The AutoIt script’s main goal is to upload files from the victim’s machine to a predefined C2. The main logic (see image below) calls the _filsearch function (two images below) which looks for files containing the following extensions: *.doc;*.pdf;*.ppt;*.dot;*.xl;*.csv;*.rtf;*.dot;*.mdb;*.accdb;*.pot;*.pps;*.ppa;*.rar;*.zip;*.tar;*.7z;*.txt. _filsearch uses @ComSpec environment variable (which usually points to CMD). The process tree created by the AutoIt file is below.

    Code snippet from the AutoIt script main logic.

    Code snippet from the AutoIt script _filsearch function.

    Process tree snippet in Intezer Analyze.

    Each file is uploaded to the C2 via a multipart/form-data POST request. The file’s directory is sent as Hex. Below is an example of a file upload request.

    Example of C_/Users/admin/AppData/Roaming/Microsoft/Windows/Cookies/NUT28OOW.txt file upload.

    Lastly, the AutoIt script creates and runs a batch named “r.bat” which deletes the malware from disk and kills the process.

    The Document Files

    Both malicious Word documents uploaded to VirusTotal on July 5 display similar behavior. Let’s look at 900e892c8151f0f59a93af1206583ce6. Once a user opens this document, it will run a VBA macro with the main logic to create, write to and run a batch file named “ballDemocrat.bat.” The script written to the batch file will run a PowerShell command that drops an executable from the C2 (http[://]1221[.]site/15858415841/0407.exe) and saves it as centuryarticle.exe.

    VBA script (7546f382d73231a4c1fdc58ab1535ec0) in the malicious document.

    Process tree of 900e892c8151f0f59a93af1206583ce6

    The file dropped from the C2 is a packed .NET file that loads the AutoIt payload into memory.

    Possible Russian Connection

    We noticed similarities between this attack and Russia’s APT28 campaigns . While these similarities alone are not enough to attribute APT28, victimology and intent to conduct espionage on various government entities in Eastern European regions gives us reason to believe that Russia is behind the attack.
    1. Victimology: APT28 has targeted Ukraine and Georgia in the past. [1][2][3]
    2. Phishing theme: APT28 previously used COVID-19-related phishing themes to target countries including Ukraine. APT28 also used NATO as a phishing theme in the past. [1][2][4][5]
    3. Use of AutoIt: One of Zebrocy’s (malware from APT28) variants is written in AutoIt. [6][7]
    4. File search with predefined extensions: Zebrocy searches for predefined file extensions on the victim machine. [8][9][13]
    5. Compressed file holding both malicious and benign files was used in an APT28 COVID-19 phishing attack last year and in other campaigns in the past. [4][8]
    6. Use of spear phishing emails containing URL-shortener was documented in past APT28 campaigns. In one of the campaigns, this URL hosted a ZIP file containing a benign PDF and a malicious executable. [8][10][11]
    7. Use of Hex encoding: The Zebrocy AutoIt version uses String to Hex encoding. [7]
    8. Use of batch files, PowerShell and CMD are part of APT28’s documented TTPs. [8][12]


    Take the following precautions to keep your organization clean and safe from phishing attacks.
    1. Enhance social engineering awareness within your organization.
    2. Use an email gateway to analyze attachments and links. Intezer Analyze now supports analysis for Microsoft Office documents, PDFs and scripts.
    3. Conduct proactive threat hunting on all endpoints inside your organization to routinely ensure that no traces of malicious code or malware exist in-memory. Intezer’s live Endpoint Scanner can help you achieve this at scale by collecting all binaries running in-memory, including fileless, and classifying them using Genetic Code Analysis technology. We also have a Volatility plugin for analyzing memory dumps.


    AutoIt Payload Script

    The AutoIt script can be found in the following GitHub repository.

    Delivery Files


    a60f4a353ea89adc8def453c8a1e65ea2ecc46c64d0d9ea375ca4e85e1c428fd 52173598ca2f4a023ec193261b0f65f57d9be3cb448cd6e2fcc0c8f3f15eaaf7 2ec710d38a0919f9f472b220cfe8d554a30d24bfa4bdd90b96105cee842cf40d 9803e65afa5b8eef0b6f7ced42ebd15f979889b791b8eadfc98e7f102853451a f357f9bf438f44b2029dfa12c03856393484f723b9df03ecde3e1ef03ddffcb7


    0be1801a6c5ca473e2563b6b77e76167d88828e1347db4215b7a83e161dae67f 96f815abb422bb75117e867384306a3f1b3625e48b81c44ebf032953deb2b3ff


    101d9f3a9e4a8d0c8d80bcd40082e10ab71a7d45a04ab443ef8761dfad246ca5 Ced5f53bafc5896be0a62ed5bdabed38a6224f8dcbe61669e833749ff62693dd 2b15ade9de6fb993149f27c802bb5bc95ad3fc1ca5f2e86622a044cf3541a70d


    275388ffad3a1046087068a296a6060ed372d5d4ef6cf174f55c3b4ec7e8a0e8 A16e466bed46fcf9c0a771ca0e41bc42a1ac13e66717354e4824f61d1695dbb1 47e1991f94309566e35ea57507c7c8d013103e860f12f2166450900e8179a75e E39a12f34bb8a7a5a03fd23f351846088692e1248a3952e488102d3aea577644 677500881c64f4789025f46f3d0e853c00f2f41216eb2f2aaa1a6c59884b04cc 5227adda2d80fb9b66110eeb26d57e69bbbb7bd681aecc3b1e882dc15e06be17 a856ae150144179848e0cc9be7618b4404c20c356eb93db490c8496ae2775b5e


    10d21d4bf93e78a059a32b0210bd7891e349aabe88d0184d162c104b1e8bee2e 0c644fedcb4298b705d24f2dee45dda0ae5dd6322d1607e342bcf1d42b59436c 0db336cab2ca69d630d6b7676e5eab86252673b1197b34cf4e3351807229f12a 72f57b040d6f523afee40159a743b1ecae685a5bf939cab06b78d1fc397ec5e7 64057982a5874a9ccdb1b53fc15dd40f298eda2eb38324ac676329f5c81b64e0 f4a56c86e2903d509ede20609182fbe001b3a3ca05f8c23c597189935d4f71b8


    5d9c7192cae28f4b6cc0463efe8f4361e449f87c2ad5e74a6192a0ad96525417 fe49909fdd70192e3367d4d88458afbaf817e7a50acae199db97bd68358b241e



    Packed AutoIT Infostealer

    cd93f6df63187e3ac31ea56339f9b859b0f4fbe3e73e1c07192cef4c9a6f8b08 4fdc37f59801976606849882095992efecee0931ece77d74015113123643796e 2bef4a398a88749828afac59b773ae8b31c8e4e5b499aad516dd39ada1a11eca d6e2a79bc87d48819fabe332dd3539f572605bb6091d34ae7d25ae0934b606b5 6ee2fd3994acdbb9a1b1680ccd3ac4b7dcb077b30b44c8677252202a03dccf79 ea9e5ad0ef82af2c0c75c371e683352a781eb2260a45c584d70995edec956ce9 0d83c1f7d2d7ea0e7fe144933bfa9dd314dae3937af714ea9274f43641756060 4d59a7739f15c17f144587762447d5abb81c01f16224a3f7ce5897d1b6f7ee77 39e8455d21447e32141dc064eb7504c6925f823bf6d9c8ce004d44cb8facc80b cb4a93864a19fc14c1e5221912f8e7f409b5b8d835f1b3acc3712b80e4a909f1 b72188ba545ad865eb34954afbbdf2c9e8ebc465a87c5122cebb711f41005939 005d2d373e7ba5ee42010870b9f9bf829213a42b2dd3c4f3f4405c8b904641f2 ba4b321bf2bc542d9e9bcfcf54bc98335acd0b27a5e5851f4667e6b23d968a04 b0b4550ba09080e02c8a15cec8b5aeaa9fbb193cec1d92c793bdede78a70cec6 a9a89bb76c6f06277b729bc2de5e1aaef05fc0d9675edbc0895c7591c35f17eb bd83e801b836906bab4854351b4d6000e0a435736524a504b9839b5f7bdf97cc 3075a467e89643d1f37e9413a2b38328fbec4dd1717ae57128fdf1da2fe39819 8ab3879ed4b1601feb0de11637c9c4d1baeb5266f399d822f565299e5c1cd0c4 b83c41763b5e861e15614d3d6ab8573c7948bf176143ee4142516e9b8bcb4423 0222f6bdfd21c41650bcb056f618ee9e4724e722b3abcd8731b92a99167c6f8d b02c420e6f8a977cd254cd69281a7e8ce8026bda3fc594e1fc550c3b5e41565d 6a698edb366f25f156e4b481639903d816c5f5525668f65e2c097ef682afc269 9ee1a587acaddb45481aebd5778a6c293fe94f70fe89b4961098eb7ba32624a8 2762cbc81056348f2816de01e93d43398ba65354252c97928a56031e32ec776f 476ee9c0b7f7f864b169f0d1beb1a3bbcc7dbab1bae7d7f77ee69e22ad25ff66 df3b1ad5445d628c24c1308aa6cb476bd9a06f0095a2b285927964339866b2c3 26ce818e64caf89d795861db0c84a59e42428bd99b381feb53cb05a67ec69c07 ff07325f5454c46e883fefc7106829f75c27e3aaf312eb3ab50525faba51c23c 494122ff204f3dedaa8f0027f9f98971b32c50acbcce4efa8de0498efa148365 7419f0798c70888e7197f69ed1091620b2c6fbefead086b5faf23badf0474044 ec62c984941954f0eb4f3e8baee455410a9dc0deb222360d376e28981c53b1a0 56731c777896837782beff4432330486a941e4f3af44b4d24be7c62c16e96256 0f7a8611deea696b2b36e44ea652c8979e296b623e841796a4ea4b6916b39e7c 975f9ce0769a079e99f06870122e9c4d394dfd51a6020818feeef9ccdb8b0614 0f19735f076a42396b9f41b10c314d094a54e0e647f2cf7a2c025da8f8e9f54e 9917c962b7e0a36592c4740d193adbd31bc1eae748d2b441e77817d648487cff f24ee966ef2dd31204b900b5c7eb7e367bc18ff92a13422d800c25dbb1de1e99 7eb1dc1719f0918828cc8349ee56ca5e6bbde7cada3bc67a11d7ff7f420c7871 71e9cc55f159f2cec96de4f15b3c94c2b076f97d5d8cecb60b8857e7a8113a35 afdc010fc134b0b4a8b8788d084c6b0cff9ea255d84032571e038f1a29b56d0a 9528a97d8d73b0dbed2ac496991f0a2eecc5a857d22e994d227ae7c3bef7296f 0fc7154ebd80ea5d81d82e3a4920cb2699a8dd7c31100ca8ec0693a7bd4af8b7 2d9d61ce6c01329808db1ca466c1c5fbf405e4e869ed04c59f0e45d7ad12f25b 9ef2d114c329c169e7b62f89a02d3f7395cb487fcd6cff4e7cac1eb198407ba6 b2f5edef0e599005e205443b20f6ffd9804681b260eec52fa2f7533622f46a6c dfc24fa837b6cd3210e7ea0802db3dcf7bb1f85bff2c1b4bda4c3c599821bf8c 27868ae50b849506121c36b00d92afe3115ce2f041cc28476db8dfc0cc1d6908 7963f8606e4c0e7502a813969a04e1266e7cd20708bef19c338e8933c1b85eda 89da9a4a5c26b7818e5660b33941b45c8838fa7cfa15685adfe83ff84463799a 187e0a02620b7775c2a8f88d5b27e80b5d419ad156afc50ef217a95547d0feaa b24eac4c704502ee8952ad32384daec5894fd81d7bb668224730d4fb06293942 2945393c74dd6d8de782e060362cdd468004ae2633bb4958c6063cd2fd5f5561 707971879e65cbd70fd371ae76767d3a7bff028b56204ca64f27e93609c8c473 37be3d8810959e63d5b6535164e51f16ccea9ca11d7dab7c1dfaa335affe6e3d C33a905e513005cee9071ed10933b8e6a11be2335755660e3f7b2adf554f704a 0e1e2f87699a24d1d7b0d984c3622971028a0cafaf665c791c70215f76c7c8fe


    9832473219412342343423243242364-34939246823743287468793247237[.]site 4895458025-4545445-222435-9635794543-3242314342-234123423728[.]space 1221[.]site 1681683130[.]website 1833[.]site 2215[.]site 2055[.]site 16868138130[.]space 33655990[.]cyou 16868138130[.]space name4050[.]com name1d[.]site 000000027[.]xyz coronavirus5g[.]site 99kg[.]site 9348243249382479234343284324023432748892349702394023[.]xyz 15052021[.]space 1000020[.]xyz 32689657[.]xyz 1000018[.]xyz 32689658[.]xyz 45[.]146[.]165[.]91 31[.]42[.]185[.]63 194[.]58[.]112[.]173

    194[.]147[.]142[.]232 176[.]113[.]115[.]133


    1. CNBC, Russian Hackers Target NATO, Military Secrets
    2. FireEye, APT28: A Window Into Russia’s Cyber Espionage Operations?
    3. Kaspersky, GreyEnergy’s Overlap with Zebrocy
    4. Intezer, A Zebra in Gopher’s Clothing: Russian APT Uses COVID-19 Lures to Deliver Zebrocy
    5. Quointelligence, APT28 Delivers Zebrocy Malware Campaign using NATO Theme as Lure
    6. ESET, Sednit Update: Analysis of Zebrocy
    7. VK-Intel. Let’s Learn: Progression of APT28 AutoIt Zebrocy Downloaders: Source-Code Level Analysis
    8. ESET, A Journey to Zebrocy Land
    9. ESET, Sednit: What’s Going on with Zebrocy?
    10. Brady, S. Indictment – United States vs Aleksei Sergeyevich Morenets, et al.. Retrieved October 1, 2020
    11. Mueller, R. Indictment – United States of America vs. Viktor Borisovich Netyksho, et al. Retrieved September 13, 2018
    12. APT28 MITRE ATT&CK
    13. Zebrocy MITRE ATT&CK
    Avigayil Mechtinger

    Avigayil was previously a product manager at Intezer. Prior to that role, Avigayil was part of Intezer's research team and specialized in malware analysis and threat hunting. During her time at Intezer, she uncovered and documented different malware targeting both Linux and Windows platforms. She is now a Threat Researcher at Wiz.

    Generic filters
    Exact matches only
    Search in title
    Search in content
    Search in excerpt