Result for 8A926C01DEEADD791B791670349C2ED056A8BE23

Query result

Key	Value
MD5	893DDEEC1927A37E6A6F808A566657CD
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	umeabot <umeabot>
PackageName	python3-pyocr
PackageRelease	2.mga9
PackageVersion	0.8.1
SHA-1	8A926C01DEEADD791B791670349C2ED056A8BE23
SHA-256	0079E2243B3E1F46A8DE8C67E4A436AE98D09CC9E7876E29AFB1ECB50D70CC58
hashlookup:children-total	27
hashlookup:trust	50

Network graph view

Children (Total: 27)

The searched file hash includes 27 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/lib/python3.10/site-packages/pyocr/__pycache__/pyocr.cpython-310.pyc
FileSize	2440
MD5	DF18C3FE14D140AF97910829A090237E
SHA-1	01B3EA7FB0682E5E0635351B6EEDBFF5552A8281
SHA-256	9F9D7AFFDAD1DCEA4DCEF5ABB45E816D3DF4FF1BD2A9CD3E8D0C78F49EC7D62C
SSDEEP	48:5Y5EOAX1d9jX9pQGHOtjYff3Q/NImf8dDHqiJkmtLROLTa3QXTf0gs3zudmOGYMU:qSOAb9r9pQGq8S5MDHFfXOagjf0gs3qr
TLSH	T12651A7E2A130217BFA0280B7B05D8E609BF59FE6019930317ACC2BE43B9B47450F7899

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/libtesseract/__pycache__/tesseract_raw.cpython-310.pyc
FileSize	12372
MD5	C5BA4C4F5500292B32C77BA7082A33CB
SHA-1	0A5DBEB2B4DC1B01C1DC7455C6D0078F78CCF070
SHA-256	E7EDC8F1A5E7EC75B4267A2F1150DC1D7318DC9B76967BC8B2DE1D6D8512203C
SSDEEP	192:V2FNIR8++/wDJ3IZzm1fALVczvUXrfXkeOZ2a3edwNFGznES:VSYWw9YZi1oWQ7seOZ2SbFGznj
TLSH	T1C442D8E0D9C2DEB6FC7EF1BC804487949E19C2514A0E44AAB50C315E7EA4F821F7DAD9

Key	Value
FileName	./usr/lib/python3.10/site-packages/pyocr/__pycache__/builders.cpython-310.pyc
FileSize	21675
MD5	EBE7D8D9F39657278C77BED97CC8B712
SHA-1	203090EC8920D20B90F23AF1B3E8800AFF01C636
SHA-256	5D814AB3F64539E544EE59A08B310C810537E4205541B79EB87701A4BCA9E682
SSDEEP	384:FWSHHXUAv/518rgoAHD4lwaSX74NMXNYcpKWrIYD2vNb3RQVbCEzrHeyVvDUfE6u:FWSXUWvYgok4lwrX74qXNzpPrIYD2vNE
TLSH	T10BA2A19399492C9BFC01F2B9BBBE57066630D7A7535B89127D0DD21F1F923E074B2888

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	./usr/lib/python3.10/site-packages/pyocr/libtesseract/tesseract_raw.py
FileSize	20433
MD5	DF38FE058D2E74C87177AD1B10073FAF
SHA-1	24CD5ECB5052D66DA1AB4F10B1F2884A3403B608
SHA-256	3D29D13A9BC17D7F8EDEEC295324C99E78A1A25572B7C8889F49417FF01B17A6
SSDEEP	384:N8pMhTB8HjehX2kjeNjujOEDvjC6jzBuhqLW/ETLcYRh9m7tj/iqlHYbtg3xPtao:NHhTB8HjehX2kjeNjujOEDvjC6jzBuh7
TLSH	T184928B909AFEC64863273507DC2784C828255E13A81D4C5C77FC8DBAEF0A9BD0769BB5

Key	Value
FileName	./usr/lib/python3.10/site-packages/pyocr/__pycache__/tesseract.cpython-310.pyc
FileSize	12944
MD5	EB9D4585B41A4B3119FD95F5205EA64A
SHA-1	31CA7F75A40A3FD3B9B4F17CE549C7DE2A778FD7
SHA-256	7F067DAE9EF2EE6E8CD1EB72B72662AC272D41AE7744DD915FEE92AA37DEC610
SSDEEP	384:oju0cFC4TPx83jFhOZXSdvqjzC68jkS4b/ZBni0L:UuLC4TZgfOBSdv2fS4b/Zdii
TLSH	T1A4421AD91A4796A3F961F1B5A02DC71C8B72DB6B431ED102B94D92CE1F4F2C06BF9098

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
CRC32	7F50309E
FileName	./usr/lib/python3.6/site-packages/pyocr-0.7.2-py3.6.egg-info/requires.txt
FileSize	7
MD5	3E0EF46FF64CF189C91148CDE752083E
OpSystemCode	362
ProductCode	163709
SHA-1	4401D3109CF458FE012D0040ECA13DCD94C14AAC
SHA-256	5EBC7DDFA10FF584CD21E117FB08802D88430A5E4732A13C47B6B1B18A43C3B6
SSDEEP	3:Av:K
SpecialCode
TLSH
db	nsrl_modern_rds
insert-timestamp	1647003798.8521047
source	NSRL
tar:gname	root
tar:uname	root

Key	Value
FileName	./usr/lib/python3.10/site-packages/pyocr/libtesseract/__pycache__/tesseract_raw.cpython-310.opt-1.pyc
FileSize	12144
MD5	1C4C3C1F8C5E2514F641B4A2D748A680
SHA-1	477E12B955ABC8934845CFBAF75C183A42C015A0
SHA-256	013C6DB19E861ED04AD400A790217720ADF51FE0E2514ECA27FE31EA44B094C0
SSDEEP	192:V2FNIR8++/wDJ3aZ9DYWlTC/V3G/VtSeq+5DedFNFGznES:VSYWw9qHD3sA/2eq+xMFGznj
TLSH	T1A742D7D0D8C1AEA6FC7EF1BC80548B948E15D261470F48AA790C315E7EA4F8317BC9DA