Hi
Please can someone explain to me how they would go about monitoring the performance of a process in Unix. Lets say that a user is running a process in Unix but it seems to be taking a long time, whereas it completed a lot quicker yesterday. How would you go about investigating what is causing... (1 Reply)
Hello Guys
I first though about posting this to emergency but cause I fixed my issue with an reboot its not as important, more is important to me what caused this situation
Some facts:
OS: SLES 10 x64 SP2 (Virtualized Vmware ESX 3.5) / vmware tools status OK
Soft: Oracle10g
LVM... (1 Reply)
Hi!
I have Sun StorageTek 2540 FC array and CAM works very slowly - I can wait for software response even more than 2 minutes... I run this software on Windows machine with Firefox Web Browser but speed is terrible... How can I make it works at least a little bit faster?.. (2 Replies)
Hello,
I would like to run md5sum on a list of files saved in a text file, and save the result in another file. (ie. md5sum `cat list.txt` > md5list.txt)
I have tried several things, but I am always confronted to the same problem: some of the filenames have spaces.
I have run sed on the... (5 Replies)
Hi all!
I have to monitor space in V890 machine, Solaris 10 weekly, because there is Oracle DB on it with many datafiles which have been taken offline to make enough size.
Sometime, one or more datafiles are big, they are 20GB, 40GB etc.. The problem I have encountered is the processing of... (5 Replies)
Hi all,
I am kinda puzzled. When and Why do we use md5sum? I've read man pages for mp5sum, but didn't get anything out of it. Please, can someone explain this to me in couple of words.
Thank you all. (1 Reply)
HFIND(1) General Commands Manual HFIND(1)NAME
hfind - Lookup a hash value in a hash database
SYNOPSIS
hfind [-i db_type ] [-f lookup_file ] [-eq] db_file [hashes]
DESCRIPTION
hfind looks up hash values in a database using a binary search algorithm. This allows one to easily create a hash database and identify if
a file is known or not. It works with the NIST National Software Reference Library (NSRL) and the output of 'md5sum'.
Before the database can be used by 'hfind', an index file must be created with the '-i' option.
This tool is needed for efficiency. Most text-based databases do not have fixed length entries and are sometimes not sorted. The hfind
tool will create an index file that is sorted and has fixed-length entries. This allows for fast lookups using a binary search algorithm
instead of a linear search such as 'grep'.
ARGUMENTS -i db_type
Create an index file for the database. This step must be done before a lookup can be performed. The 'db_type' argument specifies
the database type (i.e. nsrl-md5 or md5sum). See section below.
-f lookup_file
Specify the location of a file that contains one hash value per line. These hashes will be looked up in the database.
-e Extended mode. Additional information besides just the name is printed. (Does not apply for all hash database types).
-q Quick mode. Instead of displaying the corresponding information with the hash, just display 0 if the hash was not found and 1 if it
was. If this flag is used, then only one hash can be given at a time.
-V Display version
db_file
The location of the hash database file.
[hashes]
The hashes to lookup. If they are not supplied on the command line, STDIN is used. If index files exist for both SHA-1 and MD5
hashes, then both types of hashes can be given at runtime.
INDEX FILE
hfind uses an index file to perform a binary search for a hash value. This is much faster than using 'grep', which will do a linear search.
Before a hash database is used, a corresponding index file must be created. This is done with the '-i' option to hfind.
The resulting index file will be named based on the database file name. The name will have the original name following by the hash type
(sha1 or md5) followed by '.idx'. For example, creating an MD5 hash index of the NIST NSRL results in 'NSRLFile.txt-md5.idx' and the SHA-1
index results in 'NSRLFile.txt-sha1.idx'.
The file has two columns. Each entry is sorted by the first column, which is the hash value. The second column has the byte offset of the
corresponding entry in the original file. So, when a hash is found in the index, the offset is recorded and then 'hfind' seeks to the
entry in the original database.
The following input types are valid. For NSRL, 'nsrl-md5' and 'nsrl-sha1' can be used. The difference is which hash value the index is
sorted by. The 'md5sum' value can also be used to sort and index "home made" databases. 'hfind' can take data in both common formats:
MD5 (test.txt) = 76b1f4de1522c20b67acc132937cf82e
and
76b1f4de1522c20b67acc132937cf82e test.txt
EXAMPLES
To create an MD5 index file for NIST NSRL:
# hfind -i nsrl-md5 /usr/local/hash/nsrl/NSRLFile.txt
To lookup a value in the NSRL:
# hfind /usr/local/hash/nsrl/NSRLFile.txt 76b1f4de1522c20b67acc132937cf82e
76b1f4de1522c20b67acc132937cf82e Hash Not Found
You can even do both SHA-1 and MD5 if you want:
# hfind -i nsrl-sha1 /usr/local/hash/nsrl/NSRLFile.txt
# hfind /usr/local/hash/nsrl/NSRLFile.txt
76b1f4de1522c20b67acc132937cf82e
80001A80B3F1B80076B297CEE8805AAA04E1B5BA
76b1f4de1522c20b67acc132937cf82e Hash Not Found
80001A80B3F1B80076B297CEE8805AAA04E1B5BA thrdcore.cpp
To make a database of critical binaries of a trusted system, use 'md5sum':
# md5sum /bin/* /sbin/* /usr/bin/* /usr/bin/* /usr/local/bin/* /usr/local/sbin/* > system.md5
# hfind -i md5sum system.md5
To look entries up, the following will work:
# hfind system.md5 76b1f4de1522c20b67acc132937cf82e
76b1f4de1522c20b67acc132937cf82e Hash Not Found
or
# md5sum -q /bin/* | hfind system.md5
928682269cd3edb1acdf9a7f7e606ff2 /bin/bash
<...>
or
# md5sum -q /bin/* > bin.md5
# hfind -f bin.md5 system.md5
928682269cd3edb1acdf9a7f7e606ff2 /bin/bash
<...>
SEE ALSO sorter(1)
The NIST National Software Reference Library (NSRL) can be found at www.nsrl.nist.gov.
LICENSE
Distributed under the Common Public License, found in the cpl1.0.txt file in the The Sleuth Kit licenses directory.
AUTHOR
Brian Carrier <carrier at sleuthkit dot org>
Send documentation updates to <doc-updates at sleuthkit dot org>
HFIND(1)