1. OFFENSIVE OSINT
CHRISTIAN MARTORELLA
OSIRA SUMMIT 2014
LONDON, UK

2. About me
Chris&an
Martorella:
– I
work
in
Skype
(MS),
Product
Security
team
– Founder
of
Edge-­‐security.com
– Developed
open
source
projects
like
theHarvester,
Metagoofil,
Wfuzz
and
Webslayer
– Presented
in
many
Security
conferences
(Blackhat
Arsenal,
Hack.lu,
WhaNheHack,
OWASP,
Source)
– Over
12
years
focusing
on
offensive
security

3. Disclaimer
Any views or opinions presented in this presentation
are solely those of the author and do not necessarily
represent those of the employer

4. OSINT - Intro
Open-­‐source
intelligence
(OSINT)
is
intelligence
collected
from
publicly
available
sources.
• “Open"
refers
to
overt,
publicly
available
sources
(as
opposed
to
covert
or
clandes&ne
sources)
• It
is
not
related
to
open-­‐source
soUware
or
public
intelligence.

5. OSINT
What
is
Threat
Intelligence
/
Cyber
Intelligence
?

6. OSINT PROCESS
Source Identification
Data harvesting
Data Analysis
Data processing and
Integration
Results Delivery

7. Source Identification

8. Data Harvesting

9. Data processing

10. Data Analysis

11. Results Delivery

12. Offensive OSINT

13. Offensive vs. Defensive OSINT
From
the
security
perspec&ve
we
can
separate
OSINT:
Offensive:
Gathering
informa&on
before
an
aNack.
Defensive:
Learning
about
aNacks
against
the
company

14. Offensive OSINT
• Finding
as
much
informa&on
as
possible
that
will
facilitate
the
aNack
• S&ll
now,
many
Penetra&on
Tes&ng
companies
skip
this
phase
• ANackers
usually
spend
more
&me
than
testers
on
this
phase

15. Typical Pentesting Methodology
I.G Scan Enumerate Exploit
Post-
Exploit
Cover
Tracks
Write
report

16. What everyone focus on:
I.G
Scan
Enumera
te
Exploit
Post-­‐
Exploit
Cover
Tracks
Write
report

17. Attacker Methodology
Discover
what
makes
the
company
money
Discover
what
is
valuable
to
the
aNacker
Do
whatever
it
takes...
Steal
it
Informa&on
Gathering

18. Data
Harves:ng

19. Data Harvesting
A.K.A:
• Informa:on
Gathering:
The
act
of
collec&ng
informa&on
• Foot
prin:ng:
Is
the
technique
of
gathering
informa&on
about
computer
systems
and
the
en&&es
they
belong
to.
• Web
mining:
The
act
of
collec&ng
informa&on
from
the
web

20. Data Harvesting – How?
Techniques:
• Scraping
(raw)
• Open
APIs
• Commercial
APIS
• Network
Scanning
• Purchasing
data
• Open
source
Data
sets
• Databases
• Logfiles

22. Data
Harves&ng
-­‐
Passive
vs
Ac&ve
• Passive
data
harves:ng:
Our
ac&ons
can’t
be
detected
by
the
target
(Non
aNribu&on)
• Ac:ve
data
harves:ng:
our
ac&ons
leave
traces
that
can
be
detected
by
the
target

23. Offensive OSINT targets

24. Offensive OSINT – end goals
• Phishing
• Social
Engineering
• Denial
of
Services
• Password
brute
force
aNacks
• Target
infiltra&on

25. What
data is interesting?
Emails
Users / Employees names
-Interests
-People relationships
-Alias

26. Emails
• PGP
servers
• Search
engines
• Whois

27. Employees / Usernames / Alias
linkedin.com
jigsaw.com
people123.com
pipl.com
peekyou.com
Google
Finance
/
Etc.
Usernamecheck.com
checkusernames.com
Glassdoor.com
Hoovers.com
Corpwatch.org
intelius.com

28. Username checks

29. Social Media

30. • Employees
of
a
company
• Profile
picture
• Special&es
• Role
• Country
• Emails

31. Linkedin
Simon
LongboNom
Simon.LongboNom@amazon.com
Product
defini&on,
proposi&on
research,
pricing,
product
marke&ng,
product
promo&on,
market
research,
new
product
introduc&on
pictureUrl':
'hNp://m.c.lnkd.licdn.com/mpr/mprz/’}

32. Linkedin

33. Google+

34.
GRAPH
SEARCH:
“People
who
work
at
Amazon.com”
“People
who
work
at
Amazon.com
and
live
in
SeaNle
Washington”

35. @google.
News
and
updates
from
Google.
Mountain
@googlenexus.
Phones
and
tablets
from
Google
@GoogleDoodles
@googlewmc.
News
and
resources
from
@googleindia
@GoogleChat.
Twee&ng
about
all
things
Google
@googleaccess.
The
official
TwiNer
@googleglass.
Geing
technology
out
of
the
way.
@googlenonprofit.
News
and
updates
from
@googlewallet.
News
@googlereader.
News
@googlefiber
@googleio.
Google
@googledevs
for
updates.
San
Francisco
@GoogleIO
for
...
If
you
@GoogleMsia.
Official
Google
Malaysia
on
TwiNer.
Kuala
@googlejobs.
Have
you
heard
we
@googleapps.
Google
Apps
news
for
ISVs
@GooglePlay.
Music
@GoogleAtWork.
The
official
TwiNer
home
of
Google
Enterprise.
Mountain
View
@FaktaGoogle.
Googling
Random
Facts.
Don
@googlemobileads.
Official
Google
Mobile
@googlepoli&cs.
Trends
@ericschmidt.
Execu&ve
Chairman
@GoogleMobile.
News
@googledownunder.
Google
Australia
and
@AdSense.
News
and
updates
from
the
Google
AdSense
@googlecalendar.
The
official
TwiNer
home
of
@googledevs.
News
about
and
from
@googlenews.
Breaking
news
@GoogleB2BTeam.
@GoogleB2BTeam
Google
@Jus&nCutroni
Google
query:
site:twiNer.com
in&tle:"on
TwiNer"
”Google"

36. Domain
name

37. Geo-location
• People
loca&on
• Servers
loca&on
• Wireless
AP
loca&on

38. Geo-location
Social
media
posts
Foursquare
Pictures
TwiNer
Facebook

39. Twitter - Creepy

40. Images
Reverse
image
search
Face
iden&fica&on
Exif
Metadata
analysis:
Profile
pictures
ANachments

41. Images
• Pic from
Novartis
search on
TwwepSearch

43. INFRASTRUCTURE
IP
Hostnames
Services
Networks
Geo-location
Software version
CDN
Multitenant Hosting

44. Infrastructure
Internet
Census
project
Whois
ServerSniff
Jobsites
Search
engines
ShodanHQ

45. Infrastructure
• Once
we
have
iden&fied
the
Infrastructure
components,
what
can
we
do?

46. ShodanHQ

48. Bugs databases

49. INDICATORS OF COMPROMISE
(IOC)
IP addresses
Domains
URLs
Hashes
Stolen Passwords

50. IOC
Collec&ve
Intelligence
Framework
sources
(70)
Abuse.CH
Shadowserver.org
Nothink.org
Virustotal.com
Malwr
Seculert

51. DATA LEAKS
Pastebin.com
@pastebindorks
Pastebin
clones

53. Infrastructure
•
DNS
o Bruteforce
o Zone
Transfer
• SMTP
o Header
analysis
o Vrfy,
expn
• Web
sites
o Hidden
files
/
directories
bruteforce
• Network
scanning
• Metadata

54. Metadata
• Office
documents
• Openoffice
documents
• PDF
documents
• Images
EXIF
metadata
• Others
Metadata:
is
data
about
data.
Is
used
to
facilitate
the
understanding,
use
and
management
of
data.

55. Cat Schwartz - Tech TV

56. Washington Post
Botmaster location exposed by the Washington Post
SLUG: mag/hacker!
DATE: 12/19/2005!
PHOTOGRAPHER: Sarah L. Voisin/TWP!
id#: LOCATION: Roland, OK!
CAPTION:!
PICTURED: Canon Canon EOS 20D!
Adobe Photoshop CS2 Macintosh 2006:02:16 15:44:49 Sarah
L. Voisin!
There are only 1.500 males in Roland Oklahoma

57. Metagoofil - Results

58. Metagoofil - Results

59. Metagoofil - results

61. INFORMATION GATHERING
TOOLS
• FOCA
• Spiderfoot
• Tapir
• Creepy
• theHarvester
• Metagoofil

62. This
tool
is
intended
to
help
Penetra&on
testers
in
the
early
stages
of
the
penetra&on
test
in
order
to
understand
the
customer
footprint
on
the
Internet.
It
is
also
useful
for
anyone
that
wants
to
know
what
an
aNacker
can
see
about
their
organiza&on
and
reduce
exposure
of
the
company.

63. -­‐
Sources
google
googleCSE
bing
bingapi
pgp
linkedin
people123
jigsaw
twiNer
GooglePlus
shodanhq
• Open
source
soUware
• Command
line
• Extendable

66. • python
theHarvester.py
-­‐d
lacaixa.es
-­‐b
googleCSE
-­‐l
500
-­‐v
-­‐h

67. - Intelligence
Implement
en&&es
Cross
reference
en&&es
Image
reverse
search
/
profile
pictures
Geo-­‐loca&on
Iden&fy
vulnerable
services
Username
search
in
other
services
Target
priori&za&on

68. Challenges
• Source
availability
(APIs)
• Changes
in
Terms
of
Use
• Genera&ng
valid
intelligence

69. ?
TwiNer:
@laramies
Email:
cmartorellaW@edge-­‐security.com