Fortinet disclosed a FIN7-attributed malware loader named BIOLOAD that abuses Windows DLL search order hijacking to execute malicious code through the legitimate binary FaceFodUninstaller.exe. In the observed technique, attackers place a rogue WinBio.dll in the WinBioPlugIns directory so the scheduled task FODCleanupTask launches the trusted executable, which then loads the attacker-controlled DLL. Researchers said BIOLOAD appears tailored to individual victim machines, uses XOR-based decryption partly keyed to the computer name, and carries a single embedded payload: a newer Carbanak backdoor variant.
The report links BIOLOAD to FIN7’s BOOSTWRITE based on shared code and PE-loading logic, but describes BIOLOAD as a simpler, likely earlier variant that still required elevated privileges for deployment. Microsoft’s documentation on Windows DLL resolution helps explain the abuse: when applications do not specify a full path, Windows searches for DLLs according to a defined order, and attackers who control a searched directory can plant a malicious library for hijacking. Microsoft notes that defenders can reduce this risk by constraining DLL loading behavior with safer search settings and APIs such as LoadLibraryEx, SetDefaultDllDirectories, and AddDllDirectory.

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Fortinet publicly introduced BIOLOAD as a malware loader attributed to FIN7 that abuses DLL search order hijacking via FaceFodUninstaller.exe and a malicious WinBio.dll. The report linked BIOLOAD to BOOSTWRITE and said its embedded payload was a Carbanak backdoor variant.
Fortinet noted that related FIN7 BOOSTWRITE samples targeting 32-bit machines were compiled and signed in May 2019. This helped researchers compare BIOLOAD with previously documented FIN7 tooling.
The Fortinet analysis states that BIOLOAD samples targeting 64-bit systems were compiled in March and July 2019. The loader was developed in C++ and tailored per victim machine.
Fortinet reported that the Carbanak backdoor payloads extracted from BIOLOAD included newer builds whose timestamps dated to January and April 2019. These timestamps indicate the malware family components used in the campaign were built by that time.
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