Carving is the practice of searching an input for files or other kinds of objects based on content, rather than on metadata. File carving is a powerful tool for recovering files and fragments of files when directory entries are corrupt or missing, as may be the case with old files that have been deleted or when performing an analysis on damaged media. Memory carving is a useful tool for analyzing physical and virtual memory dumps when the memory structures are unknown or have been overwritten.
Most file carvers operate by looking for file headers and/or footers, and then "carving out" the blocks between these two boundaries. Semantic Carving performs carving based on an analysis of the contents of the proposed files.
File carving should be done on a disk image, rather than on the original disk.
File carving tools are listed on the Tools:Data_Recovery wiki page.
Many carving programs have an option to only look at or near sector boundaries where headers are found. However, searching the entire input can find files that have been embedded into other files, such as JPEGs being embedded into Microsoft Word documents. This may be considered an advantage or a disadvantage, depending on the circumstances.
Today most file carving programs will only recover files that are contiguous on the media.
FIle Carving Taxonomy
- General term for extracting data (files) out of undifferentiated blocks (raw data), like "carving" a sculpture out of soap stone.
- Block Based Carving
- Any carving method (algorithm) that analyzes the input on block-by-block basis to determine if a block is part of a possible output file. This method assumes that each block can only be part of a single file (or embedded file).
- Characteristic Based Carving
- Any carving method (algorithm) that analyzes the input on characteristic basis (for example, entropy) to determine if the input is part of a possible output file.
- Header/Footer Carving
- A method for carving files out of raw data using a distinct header (start of file marker) and footer (end of file marker).
- Header/Maximum (file) size Carving
- A method for carving files out of raw data using a distinct header (start of file marker) and a maximum (file) size. This approach works because many file formats (e.g. JPEG, MP3) do not care if additional junk is appended to the end of a valid file.
- Header/Embedded Length Carving
- A method for carving files out of raw data using a distinct header and a file length (size) which is embedded in the file format
- File structure based Carving
- A method for carving files out of raw data using a certain level of knowledge of the internal structure of file types. Garfinkel called this approach "Semantic Carving" in his DFRWS2006 carving challenge submission, while Metz and Mora called the approach "Deep Carving."
- Semantic Carving
- A method for carving files based on a linguistic analysis of the file's content. For example, a semantic carver might conclude that six blocks of french in the middle of a long HTML file written in English is a fragment left from a previous allocated file, and not from the English-language HTML file.
- Carving with Validation
- A method for carving files out of raw data where the carved files are validated using a file type specific validator.
- Fragment Recovery Carving
- A carving method in which two or more fragments are reassembled to form the original file or object. Garfinkel previously called this approach "Split Carving."
File Carving challenges and test images
 FAT Undelete Test #1 - Digital Forensics Tool Testing Image (dftt #6)
 NTFS Undelete (and leap year) Test #1 - Digital Forensics Tool Testing Image (dftt #7)
 Basic Data Carving Test - fat32 (by Nick Mikus) - Digital Forensics Tool Testing Image (dftt #11)
 Basic Data Carving Test - ext2 (by Nick Mikus) - Digital Forensics Tool Testing Image (dftt #12)
File Carving Bibliography
Mikus, Nicholas A. "An analysis of disc carving techniques," Master's Thesis, Naval Postgraduate School. March 2005. http://handle.dtic.mil/100.2/ADA432468
Garfinkel, S., "Carving Contiguous and Fragmented Files with Fast Object Validation", Digital Forensics Workshop (DFRWS 2007), Pittsburgh, PA, August 2007. http://www.simson.net/clips/academic/2007.DFRWS.pdf