Result for 1FE33B19CC44E105FD02920ED3C359C6038EDBF1

Query result

Key	Value
MD5	F7C8F2E98467062CD0687F67D6917087
PackageArch	s390x
PackageDescription	LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification.
PackageName	svm-tools
PackageRelease	14.28
PackageVersion	3.24
SHA-1	1FE33B19CC44E105FD02920ED3C359C6038EDBF1
SHA-256	8AAA05AF2E7582C76C5186C6A1B74B5DA2922C3F450D3A6BAA3369095C090FA0
hashlookup:children-total	5
hashlookup:trust	50

Network graph view

Children (Total: 5)

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

Key	Value
FileName	./usr/bin/svm-predict
FileSize	64080
MD5	100E3AB4A5D3823411B212F71153B60E
SHA-1	F51A0E35D6417CD6CC71B896E6D38DBFB58CD16F
SHA-256	7C5493E369EB26808B9A36556717A35EE7E287242E2E0E26F8A7E38ED33D7A52
SSDEEP	1536:AcCW6qJbvIzJH+S/dWIs/K/l4f8PwvkueCI:Acn7IzJH+S/d1s/06f8Pk
TLSH	T10F531A9BFEB1C6AEC1F46F32C2DA96712327613525950F0DEF9DCB3618A27108A15C71

Key	Value
FileName	./usr/share/doc/packages/svm-tools/README
FileSize	28732
MD5	80EB1338B3B8C219CE9872C78FDB4263
SHA-1	B272FEA0AD4E3F5004D7F1ED7060417B2B47F724
SHA-256	2478087CB2D4EE046B22930ED06089904CB9C87F84E8727C19EDB5F0224C4C21
SSDEEP	768:VTG1JmlGzBqkL5aJoY9Bc+fJY962NkelbRm0x8rhw:VTG7A2BqkV0/9Fceemrhw
TLSH	T1FAD2D619BA763B36815788F273CE0185F36950BB32255C58B0AEC6641F1273D53FFAA8

Key	Value
FileName	./usr/share/doc/libsvm-tools/FAQ.html
FileSize	83242
MD5	6DE1344B92183EB3373B8BD7AA186237
SHA-1	E9F44164A5BC42989B8CD98321305409A51F4CE0
SHA-256	11D44CB5AED2868D0CB5F862297CB82E0EF5F2080EB4F0051B4C7CAB7324C623
SSDEEP	1536:Z5SxA1WJUxg5Yskopincm3xM00YAFuAagAE:ZwxA1WJUxKYskEyF0YCuA7AE
TLSH	T1DD830A37D9816E3B421362A59A0E75F87F0640FDA3262A11B47C40173B51F68AF3EBD9

Key	Value
FileName	./usr/bin/svm-scale
FileSize	18712
MD5	0487117B7F7D2E4D888EB8796642FA57
SHA-1	7CF9FF8509EE2B1A12B3766B3D4999585A04EFD7
SHA-256	9D15A42BE85D4F6F142F998FCFF806E7BAF503DAA0DF412438E0BB44143B34B7
SSDEEP	192:7UblC9pvi2iVqbRz3VfuAAqs3APDs4fQx0bi8e5pm77lMo:7Ucpv7i0B3GGYWQqi8Gpw7l
TLSH	T1CB82B5EBB751CABEC4BD333592DFC276A3371C2537862704F75CAB1029673604A62964

Key	Value
FileName	./usr/bin/svm-train
FileSize	68184
MD5	9AA4F2C8213CC0D6DC88CA841C0F4F6A
SHA-1	F8F115070E74C84A85FA061B67976422A0E33EB1
SHA-256	749C05EACD901A9605B74A4D37D5AD96E640B430E863F058096393D781C0BF6B
SSDEEP	1536:TcRa6lqrRn6vxe9vllT28OHEZWzyJen3BQ3SD:TcRaxRn6vxe9v3T27kZYyMR
TLSH	T18C631A9BFB75C6AEC1F86E32D2DA83B06327253529D11F0DAF9D973614A27108E14C72