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CHFI (312-49) Digital Forensics Simulation

Master timeline analysis and anti-forensics detection. This simulation trains you to identify manipulated file metadata and interpret NTFS Master File Table (MFT) attribute discrepancies.

Investigation Scenario

During an intellectual property theft investigation in San Jose, California, a forensic analyst acquired an image of a former engineer's workstation. The suspect is alleged to have copied highly sensitive schematic files just days before resigning.

When the analyst generates a timeline of file system activity (MAC times), the targeted schematic files appear to have been untouched since 2018. Suspecting anti-forensics activity to derail the timeline, the analyst parses the raw $MFT using Eric Zimmerman's MFTECmd to compare the attributes of the suspected file.

Evidence Collected

# MFT Record: 45892 (project_titan_schematics.pdf)
# Extracted via MFTECmd
[$STANDARD_INFORMATION (0x10) Attribute]
Creation Time : 2018-05-12 10:15:22 UTC
Modification Time: 2018-05-12 10:15:22 UTC
MFT Record Change: 2023-10-24 08:45:10 UTC
Access Time : 2018-05-12 10:15:22 UTC
[$FILE_NAME (0x30) Attribute]
Creation Time : 2023-10-24 08:42:15 UTC
Modification Time: 2023-10-24 08:42:15 UTC
MFT Record Change: 2023-10-24 08:42:15 UTC
Access Time : 2023-10-24 08:42:15 UTC

Question

In a digital-forensics investigation in San Jose, California, an analyst is searching for evidence of anti-forensics activity. The analyst suspects that the user changed the metadata of a file to misguide the investigation. What is this type of anti-forensics technique called?