dissect.ntfs.util#

Module Contents#

Classes#

AttributeMap

Utility dictionary-like object for interacting with a collection of attributes.

AttributeCollection

Utility list-like object for interacting with a list of attributes.

Functions#

apply_fixup

Parse and apply fixup data from MULTI_SECTOR_HEADER to the given bytes.

ensure_volume

Check if a volume is available for reading.

get_full_path

Walk up parent file references to construct a full path.

ts_to_ns

Convert Windows timestamps to nanosecond timestamps.
class dissect.ntfs.util.AttributeMap(dict=None, /, **kwargs)#

Bases: collections.UserDict

Utility dictionary-like object for interacting with a collection of attributes.

Allows convenient accessing of attributes added to this collection. For example: - Get attributes by name, e.g. attributes.DATA to get all $DATA attributes. - Get attributes by type code enum or integer, e.g. attributes[0x80] or attributes[ATTRIBUTE_TYPE_CODE.DATA]. - Check attribute membership by enum or integer, e.g. 0x80 in attributes or ATTRIBUTE_TYPE_CODE.DATA in attributes. - Find all attributes with a given name and type, e.g. attributes.find(“$I30”, ATTRIBUTE_TYPE_CODE.INDEX_ROOT).

Note that any data retrieval from an AttributeMap will always succeed and return an AttributeCollection, either empty or containing one or more attributes.

__getattr__(attr: str) → AttributeCollection#
__getitem__(item: Union[dissect.ntfs.c_ntfs.ATTRIBUTE_TYPE_CODE, int]) → AttributeCollection#
__contains__(key: Union[dissect.ntfs.c_ntfs.ATTRIBUTE_TYPE_CODE, int]) → bool#
add(attr: dissect.ntfs.attr.Attribute) → None#

Add an attribute to the collection.

Note that this is the only intended way to modify the AttributeMap!

Parameters:

attr – The attribute to add.

find(name: str, attr_type: dissect.ntfs.c_ntfs.ATTRIBUTE_TYPE_CODE) → AttributeCollection#

Find attributes by name and attribute type.

Parameters:

  • name – The name of the attribute to find, usually "".

  • attr_type – The attribute type to find.

class dissect.ntfs.util.AttributeCollection#

Bases: list

Utility list-like object for interacting with a list of attributes.

Allows convenient access to attribute properties for a list of one or more attributes.

For example, if we have only one attribute we want to access the “size”, we want to be able to do attribute_list.size instead of attribute_list[0].size.

Additionally, we can also provide functionality here that we want to perform on a group of attributes, like open() and size().

__getattr__(attr: str) → Any#
open(allocated: bool = False) → BinaryIO#

Open the data streams on a list of attributes, resident or non-resident.

Parameters:

allocated – Use the actual stream size or the allocated stream size (i.e. include slack space or not).

Returns:

A file-like object for the data of this list of attributes.

size(allocated: bool = False) → int#

Retrieve the data stream size for this list of attributes.

Parameters:

allocated – Return the actual stream size or the allocated stream size (i.e. include slack space or not).

Returns:

The requested stream size.

dataruns() → List[Tuple[int, int]]#

Get the dataruns for this list of attributes.

Raises:

TypeError – If attribute is resident.

dissect.ntfs.util.apply_fixup(data: bytes) → bytes#

Parse and apply fixup data from MULTI_SECTOR_HEADER to the given bytes.

Parameters:

data – The bytes to fixup

Returns:

The fixed up bytes.

dissect.ntfs.util.ensure_volume(ntfs: dissect.ntfs.ntfs.NTFS) → None#

Check if a volume is available for reading.

A volume in this context refers to a disk or other file that contains the raw NTFS data, not contained in system files like the $MFT.

Raises:

VolumeNotAvailableError – If a volume is not available.

dissect.ntfs.util.get_full_path(mft: dissect.ntfs.mft.Mft, name: str, parent: dissect.cstruct.Instance, seen: Set[str] = None) → str#

Walk up parent file references to construct a full path.

Parameters:

  • mft – The MFT object to use for looking up file references.

  • name – The file name to use.

  • parent – The parent reference to start backtracking from.

Raises:

FilenameNotAvailableError – If an MFT record has no filename.

dissect.ntfs.util.ts_to_ns(ts: int) → int#

Convert Windows timestamps to nanosecond timestamps.