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A Malicious Sight in Google Sites

Apr 23 2019
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Netskope Threat Research Labs discovered an interesting drive-by download attack in Google. The threat actor involved in this attack initially deployed a Banking Trojan using the file cabinets template in Google sites as a delivery vehicle. The malware dubbed “LoadPCBanker” used SQL as an exfiltration channel to send the compromised victim data to the server.

There are two aspects of this attack that are noteworthy:

  1. First, users place an implicit trust to vendors like Google. As a result, they are more likely to fall victim to an attack launched from within a Google service.
  2. Second, whereas other services like Gmail block some malicious file uploads, Google File Cabinet does not appear to have any such protections.

This post describes our discovery and analysis of the attack and the malware payload. We will also conclude with some recommendations to help protect and remediate such threats.

Netskope Detection

Netskope Advanced Threat Protection detects the malware associated with this attack as Win32.LoadPCBanker.Gen.

Netskope customers can also create a policy to generically block all uploads and downloads from Google sites as shown in Figure 1.

Figure 1: Block policy for upload and download activity in Google Sites


Netskope reported the associated Google sites hosting malware using the report abuse option to Google on 12 April 2019.

Malware hosted Google Sites

We originally found the malware being delivered from the following Google Sites URL:[.]com/site/detailsreservations/Reserva-Manoel_pdf.rar?attredirects=0&d=1.

The files are being hosted using the classic Google Sites. Using the ‘Recent site activity’ option on the site containing the file, we found out there were two files resident at the top level, as shown in Figure 2.

Figure 2: Reserva-Manoel_pdf.rar at the top level in the Google Sites

The threat actor used classic Google sites to create a website, then used the file cabinet template to upload the payload, and finally sent the resulting URL to the potential targets. A visual depiction of this process is shown in Figure 3.

Figure 3: Depiction of the delivery mechanism of the malware using Google sites

Attack Kill chain

The depiction of the attack kill chain of the LoadPCBanker malware is shown in Figure 4. It begins with a first-stage parent downloader, which downloads the next stage payloads from a file hosting website. The next stage payloads collect screenshots, clipboard data, and keystrokes from the victim.  Finally, it uses SQL, an exfiltration channel to send the victim data to the server.

Figure 4: Attack Kill chain of LoadPCBanker

Analysis of LoadPCBanker

The downloaded RAR archive “Reserva-Manoel_pdf.rar” contained an executable ”PDF Reservations Details MANOEL CARVALHO hospedagem familiar detalhes PDF.exe”. The filename translates to “PDF Reservations Details MANOEL CARVALHO guest house details PDF.exe” from Portuguese to English, indicating to be likely targeting Brazil or Portuguese speaking users.

The malicious executable compiled in Delphi uses a PDF document icon disguise as shown in Figure 5.

Figure 5: PDF icon used in the executable

This sample primarily works as a downloader to download the next stage payloads. On execution, a hidden folder named ‘clientpc’ is created in the C drive. Then, the next-stage payloads libmySQL50.DLL, otlook.exe, and cliente.dll are downloaded to this same location from a file hosting website, kinghost[.]net, using the URL drivemailcompartilhamentoanexos[.], as shown in Figure 6.

Figure 6: Next stage payloads downloaded from drivemailcompartilhamentoanexos[.]

While Otlook.exe and cliente.dll are malicious files, libmySQL50.DL is a library of mysql. The threat actor used libmySQL50.DLL as a to send the victim data to the server. Next, otlook.exe is executed. The downloader deletes all its download URLs from the system’s WinINet cache as shown in Figure 7.

Figure 7: Delete URL cache

Once this is done, the malware further connects to the URL hosted in[.]ua to notify the victim has been infected with the malware, as shown in Figure 8.

Figure 8: Connection to[.]ua

Analysis of the Next Stage Payloads

Otlook.exe is a delphi compiled executable that loads libmySQL50.DLL and cliente.dll during execution, as shown in Figure 9.

Figure 9: Otlook.exe loading libmySQL50.DLL and cliente.dll during execution

Otlook.exe functions primarily as spyware, doing the following:

  • Records screenshots and saves as saves the file name as screen<number>.jpg in the location “C:\clientpc” (using API’s GetDesktopWindow, GetDC)
  • Records the clipboard data in the location “C:\clientpc\capctrl.txt” (using the API GetClipboardData)
  • Records all the keystrokes in the location “C:\clientpc\relatorio.log” (using the API GetAsyncKeyState)
  • Similar to the first stage downloader, delets all its download URLs from the WinINet cache.

Otlook.exe downloads a file named “dblog.log” from the URL[.]br/hostmeu with the User-Agent: Otlook as shown in Figure 10.

Figure 10: dblog.log downloaded from[.]br/hostmeu

It contains the external SQL database server credentials in an encoded format. This is decoded in the decryption loop present in otlook.exe as shown in Figure 11.

Figure 11: Decryption loop for dblog.log

The decoded values contain the credentials of the server,user_name, password, port, and database to exfiltrate the victim details to the SQL server as shown in Figure 12.

Figure 12:  SQL database credentials

An export of the SQL C2 exfiltration is shown in Figure 13.

Figure 13: SQL exfiltration

Otlook.exe also downloaded two cfg files named cliente.cfg and filtro.cfg from the URL http://www.albumdepremios[.] to the location “C:\clientpc”. The cfg files contained the configuration details like DNS, port, log, ID and filter for the connection. We also observed that the attacker constantly rotated the database credentials by updating the dblog.log file.

The SQL database contained a database and two tables in the server as shown in Figure 14.

Figure 14: SQL server database and tables

During our analysis, we identified that the threat actor was particularly interested in surveilling a specific set of machines and capturing screenshots of the victims’ machines that were compromised from this attack. We derived this because we noticed a lot of infected machine responses, but only a few were being actively surveilled. At the time of writing, the threat actor was actively monitoring 20 infected hosts.

Similar strains – Ties and connections

Using VirusTotal Passive DNS, we were able to identify similar samples communicating to the C2 – albumdepremios[.], as shown in Figure 15.

Figure 15: Passive DNS records of albumdepremios[.]

We believe that similar malware has been around since early 2014, and this latest wave of attacks has been ongoing since February 2019, based on the passive DNS results and our in-house threat intelligence framework. It is possible that the same threat actor has been involved in these attacks, or the source code has been reused by multiple actors over this period.

As we continued our analysis on the similar strains, ties, and connections, we identified another Google sites URL created by the threat actor. The site activity is shown in Figure 16.

Figure 16: Similar malware hosted in Google sites

The modus operandi is the same but the first stage downloader URL’s have been updated as shown in Figure 17.

Figure 17: First stage downloader Urls updated

The Whois Record of the C2, albumpremios[.], is shown in Figure 18.

Figure 18: Whois Record of albumpremios[.]

The Whois Record states the website was created in 2014 March and hosted in Brazil. Based on the details collected there is a high degree of confidence that the threat actor is targeting individuals from Brazil.


We identified Banking malware named “LoadPcBanker” delivered via Google sites, targeting individuals from Brazil, and using SQL as an exfiltration channel.

We also discovered the threat actor used the file cabinets template from classic Google sites to host malware, and that the uploads are not blocked by Google. Though the usage of Google Sites appears new, using our in-house systems, sample repositories, and Netskope Threat Intelligence Framework, we were able to trace the origins of this attack back to early 2014.

Netskope Threat Research Labs will continue to monitor the delivery mechanism and developments of the threat actor.

Credits: Thanks to Arun Prabhu Dhandapani for the assistance and inputs on the SQL server of the attacker.


Netskope recommends the following to combat malware campaigns:

  • Always check the domain of the link. Know the domains typically used when you log in to sensitive services. Additionally, be able to identify common object store domains. This knowledge will help you differentiate between well-crafted phishing/malware sites and official sites.
  • Deploy a real-time visibility and control solution to monitor activities across sanctioned and unsanctioned cloud accounts.
  • Get comprehensive threat and malware detection for IaaS, SaaS, PaaS, and the web with real-time, multi-layered threat detection and remediation to prevent your organization from unknowingly spreading similar threats.
  • Actively track usage of unsanctioned cloud apps and enforce DLP policies to control files and data entering and leaving your corporate environment
  • Create a security policy to block PE files with a different file-content type ”image/png” “image/jpg”
  • Warn users against opening untrusted attachments, regardless of their extensions or filenames.
  • Warn users to avoid executing any file unless they are very sure that they are benign, even if the file is delivered from appears to be something legitimate, like
  • Hover your mouse over all hyperlinks to confirm them before clicking on the link.
  • Enable Two-factor authentication for email accounts as a safety measure to prevent attackers from accessing the email account even if they know the password
  • Keep systems and antivirus updated with the latest releases and patches
author image
Ashwin Vamshi
Ashwin Vamshi is a Security Researcher with innate interest in targeted attacks and malwares using cloud services. He is primarily focusing in identifying new attack vectors and malwares, campaigns and threat actors using ‘cloud as an attack vector.’

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