Hi.
I see your point, but this is more a case for a some kind of PoC tool (and
not sqlmap). Such scenario would (IMO) involve one more step in already
non-simple setup. It's not that it doesn't have any sense, but it doesn't
help the automated tool like sqlmap.
Kind regards,
Miroslav Stampar
On Wed, Apr 17, 2013 at 7:09 PM, buawig <bua...@gmail.com> wrote:
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> > Problem is that sqlmap needs to have data retrieved to be able to
> > do it's normal workflow. For example, if you do --dump sqlmap
> > needs to know table columns. In your proposed case that would be
> > problematic. Also, there are lots of cases when we ask server for
> > a simple questions and we need an answer to be able to proceed.
> >
> > Also, in sqlmap DNS exfiltration works only if one other slower
> > technique is available (e.g. time-based blind and/or boolean-based
> > blind). In your proposed case that technique would need to be
> > ignored completely - as it's automatically being used if DNS
> > exfiltration fails.
>
> Hi Miraoslav,
>
> thanks for your answer.
> Yes, I wouldn't expect sqlmap to work "as usual" in such a scenario,
> but the manual back and forth wouldn't probably be much fun.
>
> An automated approach would be to make DNS querries reaching the DNS
> server available to sqlmap via HTTP since the internal host running
> sqlmap can also reach the DNS server.
> A simple script on the DNS server could simply write incoming DNS
> queries to a file that can be fetched via HTTP from sqlmap.
>
> So the request flow would be:
>
> 1) sqlmap host -> target
> 2) target makes DNS query to the attacker's DNS server
> 3) DNS server makes inbound queries available via HTTP i.e.
> https://attacker.com/dnsqueries.txt (optionally protected via HTTP auth)
> 4) after (1) sqlmap fetches DNS queries from
> https://attacker.com/dnsqueries.txt
>
> I realize that such an "internal" scenario might be not the most
> common setup, but nonetheless I wanted to share that problem and some
> thoughts about it.
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>
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--
Miroslav Stampar
http://about.me/stamparm
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Precog is a next-generation analytics platform capable of advanced
analytics on semi-structured data. The platform includes APIs for building
apps and a phenomenal toolset for data science. Developers can use
our toolset for easy data analysis & visualization. Get a free account!
http://www2.precog.com/precogplatform/slashdotnewsletter
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