Query result

Key	Value
MD5	EA85E24FAF32693D04929907ED590E02
PackageArch	x86_64
PackageDescription	The COLAMD column approximate minimum degree ordering algorithm computes a permutation vector P such that the LU factorization of A (:,P) tends to be sparser than that of A. The Cholesky factorization of (A (:,P))'(A (:,P)) will also tend to be sparser than that of A'A. SYMAMD is a symmetric minimum degree ordering method based on COLAMD, available as a MATLAB-callable function. It constructs a matrix M such that M'*M has the same pattern as A, and then uses COLAMD to compute a column ordering of M. Colamd and symamd tend to be faster and generate better orderings than their MATLAB counterparts, colmmd and symmmd. COLAMD is part of the SuiteSparse sparse matrix suite.
PackageMaintainer	https://bugs.opensuse.org
PackageName	libcolamd-2_9_6
PackageRelease	lp150.2.12
PackageVersion	2.9.6
SHA-1	59CE2A8F93ADCD91E6A164F309E25D534ED13B03
SHA-256	40D5DAE632834D95E9956C97D25072B8FD91E89FE85E143897CDEAE9C20184A0
hashlookup:children-total	5
hashlookup:trust	50

Network graph view

The searched file hash includes 5 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/share/doc/packages/suitesparse/COLAMD-2.9.6/License.txt
FileSize	872
MD5	2E9D3E2EA4842EFCC67B05C7DF30BB05
SHA-1	313B4A81AE08A0CE4775DBA26DF66399F21257B1
SHA-256	BE33BB6BCB13D42A7068E47610D24D203AF2F69B1A03BC8EE3D780811F320AAB
SSDEEP	12:Por0a0Qk6XlAP/zr7yPVkp4cNcGTymUhOkHMAgl/wTbVPAPI2C2QZS9bQH3c:q0a0QpXk37yOtyPOkHOCTbV+lPnQH3c
TLSH	T1BF11464C1D00C3360850D6A5348D45FAD316C7DAF1AE70D0421DC24B560EE760AEE4E0

Key	Value
FileName	./usr/lib64/libcolamd-2.9.6.so
FileSize	30792
MD5	5F780CC6B3D5BA1E26E12156A38BAAEF
SHA-1	6377A634E6FA5ED66D207D4EFF28EC828B73B7D6
SHA-256	91A19EB1C32F1E57273F82623758E482E6CCF4FEAE84E72E075BE784A4BC6B28
SSDEEP	384:ViHnEXEWmnDHPrKOAJUcA2f0KXX4kpBozQ/IiwjF840Dou3XNolCvuYEeeM:srYsI0uX4kCQAVFzuNoe
TLSH	T13BD2294BF07108EDC4EFD535A38AA59379387C62130527A73188C9342FBAFA42669B57

Key	Value
CRC32	C564AC6B
FileName	snap-hashlookup-import/lib/python3.8/site-packages/chardet-4.0.0.dist-info/LICENSE
FileSize	26432
KnownMalicious	malshare.com
MD5	A6F89E2100D9B6CDFFCEA4F398E37343
OpSystemCode	362
ProductCode	13462
RDS:package_id	298595
SHA-1	545F380FB332EB41236596500913FF8D582E3EAD
SHA-256	6095E9FFA777DD22839F7801AA845B31C9ED07F3D6BF8A26DC5D2DEC8CCC0EF3
SHA-512	DC4177806315B4CE888798EB5E643BF16B162418ECD10B5E7E9B4E0DF3E17D11E77E402F8BF0A1CC127D870F212A4A67F588F6750F49340997234360E69CAF08
SSDEEP	384:X/56OuAbnn0UX+X6wFDVxnFw7xqsvzt+z/k8E9HinIhFkspcM9bc7upt0MZuQ2:X/5trR+DnFMz1ReScmc7GtXZuQ2
SpecialCode
TLSH	T19EC2953EB70513B206C206906A0FA4DFE32BD079326759647499C15D23AB93543FBBEA
db	nsrl_legacy
insert-timestamp	1735816884.8270047
mimetype	text/plain
nsrl-sha256	rds241-sha256.zip
source	snap:ObYVGGGHqjTePNnT4jdYjdMgRURVHyVL_106
tar:gname	root
tar:uname	root

Key	Value
FileName	./usr/share/doc/packages/suitesparse-5.2.0/COLAMD_README.txt
FileSize	5364
MD5	A6693872CF6E74E758F3FA327C606FEC
RDS:package_id	289330
SHA-1	72662E8D09ECB02D6E012630F9AF7F142F5085B1
SHA-256	1EC8DB9BF092C6B17EAA9318F3D3AD10C35B832B29DA0FFE463EFF94234B60FE
SSDEEP	96:BXKkJBmN7m/JOOcGFWgMLZ3VxTX18TX2fG/NhgdfSBJg6v+bphuCVS9+:Bf3Q7wJnVWzZ3VxTXGTX2f6ueJ1v+lQg
TLSH	T1FBB1532F6F08277056A1C3B113EF4948FB24C53755270A2DBC8C81642FAF959A2EEB16
insert-timestamp	1678972374.1377451
source	RDS.db
tar:gname	root
tar:uname	root

Key	Value
FileName	./usr/share/doc/packages/libcolamd2/ChangeLog
FileSize	5578
MD5	35E68C49D9E86F514A49E9B1F252D30D
RDS:package_id	263813
SHA-1	092499A610CC656EEA5ADB22A25D13C60462C68D
SHA-256	B3CE748F433E2A2FF704BDC5261E6D43AA5A085362FC45498BA0E98A56283269
SSDEEP	96:X+xTxxS8g7aDQwgVWRXWbFCYtTSpnXGb58sWcyhsdLSKuj/HxCV91BRdP7BQrSJM:X+xTxxSx7a0wgVWRXWbF1MnXGb58Gyhr
TLSH	T16FB1550F368227B1119203E246DF6694E77842AF3325161D3D8D857C2FAE79CA36F786
insert-timestamp	1654960711.1957004
source	modern.db