Hi.
Thank you for your report and find it patched now.
Bye
On Wed, Jun 11, 2014 at 4:19 PM, 金军航junhang <jinjunh...@hotmail.com> wrote:
> sqlmap version: 1.0-dev
> Python version: 2.7.6
> Operating system: nt
> Command line: sqlmap.py -u **********************************************
> -p p --current-user --os-s
> hell
> Technique: ERROR
> Back-end DBMS: MySQL (fingerprinted)
> Traceback (most recent call last):
> File "sqlmap.py", line 95, in main
> start()
> File "D:\sqlmap-master\lib\controller\controller.py", line 585, in start
> action()
> File "D:\sqlmap-master\lib\controller\action.py", line 160, in action
> conf.dbmsHandler.osShell()
> File "D:\sqlmap-master\plugins\generic\takeover.py", line 80, in osShell
> self.initEnv(web=web)
> File "D:\sqlmap-master\lib\takeover\abstraction.py", line 198, in initEnv
> success = self.udfInjectSys()
> File "D:\sqlmap-master\lib\takeover\udf.py", line 184, in udfInjectSys
> return self.udfInjectCore(self.sysUdfs)
> File "D:\sqlmap-master\lib\takeover\udf.py", line 148, in udfInjectCore
> self.udfSetRemotePath()
> File "D:\sqlmap-master\plugins\dbms\mysql\takeover.py", line 45, in
> udfSetRemotePath
> if re.search("^[\w]\:[\/\\\\]+", self.__basedir, re.I):
> File "C:\Python27\lib\re.py", line 142, in search
> return _compile(pattern, flags).search(string)
> TypeError: expected string or buffer
>
>
> ------------------------------------------------------------------------------
> HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
> Find What Matters Most in Your Big Data with HPCC Systems
> Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
> Leverages Graph Analysis for Fast Processing & Easy Data Exploration
> http://p.sf.net/sfu/hpccsystems
> _______________________________________________
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> https://lists.sourceforge.net/lists/listinfo/sqlmap-users
>
>
--
Miroslav Stampar
http://about.me/stamparm
------------------------------------------------------------------------------
HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
Find What Matters Most in Your Big Data with HPCC Systems
Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
Leverages Graph Analysis for Fast Processing & Easy Data Exploration
http://p.sf.net/sfu/hpccsystems
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