Result for 0828E696923E61BB2F8D0DB57BFD990DBD7425E8

Query result

Key	Value
MD5	3C1CCCFDCA4329CE3F50C2B2C4B9403E
PackageArch	noarch
PackageDescription	Pyocr is an optical character recognition (OCR) tool wrapper for python 3. That is, it helps using OCR tools from a Python 3 program. Pyocr can be used as a wrapper for google's Tesseract-OCR ( http://code.google.com/p/tesseract-ocr/ ) or Cuneiform. It can read all image types supported by the Python Imaging Library, including jpeg, png, gif, bmp, tiff, and others. It also support bounding box data.
PackageMaintainer	neoclust <neoclust>
PackageName	python3-pyocr
PackageRelease	1.mga9
PackageVersion	0.8.2
SHA-1	0828E696923E61BB2F8D0DB57BFD990DBD7425E8
SHA-256	64AF507BE4BFDC74612D53786108309A0A0F9FE9A77F82429C9E48983AF22D0D
hashlookup:children-total	30
hashlookup:trust	50

Network graph view

Children (Total: 30)

The searched file hash includes 30 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/lib/python3.10/site-packages/pyocr-0.8.2.dist-info/METADATA
FileSize	1165
MD5	79942F4C7FCD252F5510FEE54E2D1018
SHA-1	04E83B54E11200A65ADBF410CB6CB09EC03335E4
SHA-256	F630C6D496641B91D1E361B95E40C86672E35074563AE6D36AE5A4F05BA7178D
SSDEEP	24:D9436pKcLgzu00RPAQILkHZft2ZftYZftRTZft90ZftOAvTH4UpoGxKch:DG8KSb5qQIL0aYxLicAvTHNoGxK6
TLSH	T11521E11538C0ADF41EA3C94B67588B5298118F215F4E149C79F6478EEEA167382BC23D

Key	Value
FileName	./usr/lib/python3.6/site-packages/pyocr/error.py
FileSize	559
MD5	B7EC330B18D9D7148434F248E9A679BE
SHA-1	09D534D152BB78C6C8338CBAFCE664DF5C2DDB5C
SHA-256	B384E02E36F2AD28CEDF0BF4626CA7D2448C3CC3CDA1DBEB283CD63FE4574B5F
SSDEEP	12:+QUML+noyesH1A8ouAvT9/1oD1A8ouAvT3:+++n7VA8ouAbzyA8ouAb3
TLSH	T1FCF06D19D6AA9D4F568B4453702BF82318AE5F02811B30A7F0FD72443F8CC59C287AAA
tar:gname	root
tar:uname	root

Key	Value
FileName	./usr/lib/python3.10/site-packages/pyocr/__pycache__/__init__.cpython-310.pyc
FileSize	663
MD5	BFF8C38C2B1B0FD4830C1E1648BBDB80
SHA-1	115730BE0543245243CCC70B9E248338C9E37AA4
SHA-256	30B7C0201F840CDF214FE22948D126D8A49702F74424CF478A5039A0D9CA7B89
SSDEEP	12:C03e8Cu6GkSvWQnyXGdsBQ8b4RW/5rz06WTX++r97iOJUB/MgFDNE:96G7nyX2uQ0I5TX796B/MgvE
TLSH	T1780168834D42133BF000F5F902271E32A3E6037A6E61915BA91C2AE83C09B61481FA71

Key	Value
FileName	./usr/lib/python3.10/site-packages/pyocr/__pycache__/util.cpython-310.pyc
FileSize	413
MD5	E824F60F6F6A9429358D3DFCC1490FB0
SHA-1	14B8117BD7C5B5385D949074C5120062D0D0DFB0
SHA-256	7BCEE00659A36A16540F1ACFE7AC180ECF344E52205A7A747ED59CF9EE5FBE40
SSDEEP	6:y/0sex4+hWMuZx/YleA/cttJSlzQRCR7/RhYExwm7u2aCLjJG9YJgMrFM6p3yGJr:C0seyeLuDgkicwESsywmpGMgwi16n
TLSH	T17FE06890494C06EEFFA6F2F4A3908A75546051BAB30A6680AE0C525FAE111EA0AB0E51

Key	Value
FileName	./usr/lib/python3.10/site-packages/pyocr/__init__.py
FileSize	698
MD5	002097F637BA45321F3FC8D212FD5EE3
SHA-1	209DB2AC374F9342641D02C69D58053B0CF1C2BF
SHA-256	B615AAD07D50D3E7A93F90FC45933794E63F4E48794CA14C91A0740AC21658DB
SSDEEP	12:ZbDXhQH1IcmNuf+po5CxvWQnyXGdsBQ8b4RW/5rze8fsGjkvRyR/0pc5Z:ZbDXhhNuf+cCBnyX2uQ0O7v89QSZ
TLSH	T1A501FE93498B2703A040A0CE240BED52A7A61B3A0F61B136E42F0AA53F8A016257DF71

Key	Value
FileName	snap-hashlookup-import/lib/python3.10/site-packages/simplifiedpytrends-1.1.2.dist-info/WHEEL
FileSize	92
MD5	11AA48DBE7E7CC631B11DD66DC493AEB
RDS:package_id	303470
SHA-1	249FDB01AD3E3F71356E33E1897D06F23CFB20C2
SHA-256	3AA464174798E461ECB0CA2B16395B4C8AB4EF6BE91E917AD1F21003A952F710
SHA-512	EDD5892C9B2FE1F2439C53D2CD05F4478EC360885054BD06AFCF7936F6D066377FEE07796DAE9ECDF810E3D6100E039CAD48F00AD0E3145693D53E844CC5319D
SSDEEP	3:RtEeX7MWcSlViHoKKjP+tPCCfA5S:RtBMwlViQWBBf
TLSH	T1D8B0121401404AFE0150EE134034AD311360C90AA4990435B0461181550BD840AD9C5F
insert-timestamp	1728992827.0319567
mimetype	text/plain
source	snap:NR0H6AclLOhWZTa2rEiyaNrtQUa9bJHK_4
tar:gname	root
tar:uname	root

Key	Value
FileName	./usr/lib/python3.10/site-packages/pyocr/__pycache__/tesseract.cpython-310.pyc
FileSize	13130
MD5	BD5B01F8975A481019DDA64C4660F682
SHA-1	2A8A247A68B34D168DFC47F04CFE800100B411D6
SHA-256	1A87925D7C9FAA6E9E97492247A1A6BEF6AB2E7ADD923E489C644974DE5F109B
SSDEEP	384:+ju0cFC4pKx83DFNfAeAdcYjz768jkSPRTZzQ2/:WuLC4pIg74LdcjfSPRTZc2/
TLSH	T1954219D65947A6A3F961F174A06DC72C8B76DB6B432AC102B90D91CE1F4E3D02BF9098

Key	Value
FileName	./usr/lib/python3.10/site-packages/pyocr/libtesseract/__init__.py
FileSize	9984
MD5	ADBAE74B2AD9232839CDE327429D6EC8
SHA-1	431B15366C12D63C90E671D6CF8E21599F0886DA
SHA-256	64573B27EC86FA37382EDD69C21A924B65C5841D8A121227B133A8CA6F9A4E2D
SSDEEP	96:GTw4pp4p5MJ4muc1Rt3hVE8HbjOpLY3oIVG/HQVM5fWrjyof5MtMo94vEIAAFksl:sA564tuRtQikIMIm5uvNM2EOS2g0
TLSH	T1E622626956C38483D643E816AC76D880DB226F23598CF92175DC5EE9EF4E17013F8AF4
tar:gname	root
tar:uname	root

Key	Value
FileName	./usr/lib/python3.10/site-packages/pyocr/libtesseract/__pycache__/__init__.cpython-310.opt-1.pyc
FileSize	8031
MD5	7987467D689DECC8FD84D19DFA04F6E4
SHA-1	4D684255BFB6953A3B84755DB5DA486581441B00
SHA-256	66502913510341F9A13317A268D4F2FE58A982515A413E605F125BDF624F1EA8
SSDEEP	96:fTw4pp4pXFSfN6oldnEIU/z/16F1KUZs2kktf5Mt2aQxr/DoYmb/2L+fN+r8uF7y:1AXMlddU/Lk/ikLjaQZoB+H3RkUr6
TLSH	T144F1E6DA0A825887F9A5F274706E0254AB22D75AF79CE211354C398FEF2A2C01FB1759

Key	Value
FileName	./usr/lib/python3.10/site-packages/pyocr/__pycache__/builders.cpython-310.pyc
FileSize	21675
MD5	A64B743A1132B5024876324937550AC7
SHA-1	59C1339AAB3613570880CB131FB73384CE8FD720
SHA-256	F8F8E3A2E03304473084943FD75B06CE60F3670D264034A7B52444F9DCDD4133
SSDEEP	384:ZWSHHXUAv/518rgoAHD4lwaSX74NMXNYcpKWrIYD2vNb3RQVbCEzrHeyVvDUfE6u:ZWSXUWvYgok4lwrX74qXNzpPrIYD2vNE
TLSH	T17FA2A19399492C9BFC01F2B9BBBE57066630D7A7535B89127D0DD21F1F923E074B1888