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CNIT 129S: Securing
Web Applications
Ch 4: Mapping the Applicatio
n

Sl 56
Updated 2-11-2021
Mapping
• Enumerate application's content and
functionalit
y

• Some is hidden, requiring guesswork
and luck to discove
r

• Examine every aspect of behavior,
security mechanisms, and technologie
s

• Determine attack surface and
vulnerabilities
Enumerating Content and
Functionality
Web Spiders
• Load web page,
fi
nd all links on i
t

• (into the targeted domain
)

• Load those pages,
fi
nd more link
s

• Continue until no new content is discovered
Web Application Spiders
• Also parse HTML form
s

• Fill in the forms with preset or random values
and submit the
m

• Trying to walk through multistage
functionalit
y

• Can also parse client-side JavaScript to extract
URL
s

• Tool: Zed Attack Prox
y

• WebScarab & CAT seem old and abandoned
Robots.txt
• Intended to stop
search engine
s

• May guide spiders
to interesting
content
Limitations of Automatic
Spidering
• May fail to handle unusual navigation
mechanisms, such as dynamically created
JavaScript menu
s

• So it may miss whole areas of an applicatio
n

• Links buried in compiled client-side objects like
ActiveX or Java may be missed
Limitations of Automatic
Spidering
• Forms may have validation checks, such as
user registration form
s

• Email address, telephone number, address,
zip cod
e

• Too complex for most spiders, which use a
single text string for all form
fi
eld
s

• Spider cannot understand the "Invalid" error
messages
Limitations of Automatic
Spidering
• Spiders only fetch each URL onc
e

• But applications use forms-based navigation,
in which the same URL may return different
content and function
s

• For example, a bank may implement every
user action with a POST to /account.jsp with
parameters determining the actio
n

• Spiders aren't smart enough to handle that
Limitations of Automatic
Spidering
• Some applications place volatile data within
URL
s

• Parameters containing timers or random
number seed
s

• Spider will fetch the same page over and over,
thinking it's ne
w

• May freeze up
Limitations of Automatic
Spidering
• Authentication: spider must be able to submit
valid credential
s

• Perhaps using a valid cooki
e

• However, spiders often break the authenticated
session, b
y

• Requesting a logout functio
n

• Submitting invalid input to a sensitive functio
n

• Requesting pages out-of-sequence
Warning
• Spiders may
fi
nd an administrative page and
click every lin
k

• Delete User, Shut Down Database, Restart
Server...
User-Directed Spidering
• More sophisticated and controlled technique
than automated spidering, usually preferabl
e

• User walks through application using a browser
connected to Burp (or another proxy
)

• The proxy collects all requests and responses
Example (Not Logged In)
• Note items in
car
t

• "user"
contains only
5 URLs
• Login
event
seen in
Burp
A
Advantages of


User-Directed Spidering
• User can follow unusual or complex navigation
mechanism
s

• User can enter valid data where neede
d

• User can log in as neede
d

• User can avoid dangerous functionality, such as
deleteUser.jsp
Browser Tools
• Chrome's Developer Tools can show details of
requests and responses within the browse
r

• No proxy neede
d

• Often useful; shows timing as well as content
Discovering Hidden Content
• Finding it requires automated testing, manual
testing, and luc
k

• Testing or debugging features left in applicatio
n

• Different functionality for different categories of
user
s

• Anonymous, authenticated, administrator
s

• Backup copies of live
fi
le
s

• May be non-executable and reveal source
code
Discovering Hidden Content
• Backup archives that contain snapshot of entire
applicatio
n

• New functionality implemented for testing but
not yet linked from main applicatio
n

• Default functionality in an off-the-shelf
application that has been super
fi
cially hidden
from the user but not remove
d

• Old versions of
fi
les--may still be exploitable
Discovering Hidden Content
• Con
fi
guration and include
fi
les containing
sensitive data such as database credential
s

• Source
fi
les from which application functions
were compile
d

• Comments in source code; may contain
usernames and passwords, "test this" marks,
and other useful dat
a

• Log
fi
les--may contain valid usernames, session
tokens, etc.
Brute-Force Techniques
• Suppose user-directed spidering
fi
nds the URLs
on the lef
t

• A brute-forcer will try names as shown on the
right
Burp's Brute-Forcer
• Burp's brute-
forcer is very
slow in the
free version
Dirb
• Good brute-force spidering tool


• Included in Kali Linux
B
Inference from Published
Content
• Look for pattern
s

• All subdirectories of "auth" start with a capital
lette
r

• One is "ForgotPassword", so try these
Other Patterns
• Names may use numbers or date
s

• Check include
fi
les from HTML and JavaScrip
t

• They may be publicly readabl
e

• Comments may include database names, SQL
query string
s

• Java applets and ActiveX controls may contain
sensitive data
More Clues
• Search for temporary
fi
les created by tools and
fi
le editor
s

• .DS_Store
fi
le (a directory index created by Mac
OS X
)

•
fi
le.php-1 created when
fi
le.php is edite
d

• .tmp
fi
les created by many tools
Burp Pro's Content
Discovery
Google's Skip
fi
sh
• Vulnerability scanner but main strength is
fi
nding
fi
les and folder
s

• Links Ch 4d, 4e
Public Information
• Search engines (and cached content
)

• Web archives such as the Wayback Machin
e

• Posts to forums like Stack Exchange
Google Advanced Search
Web Server Vulnerabilities
• Some Web servers let you list directory
contents or see raw source cod
e

• Sample and diagnostic scripts may contain
vulnerabilities
Nikto and Wikto
• Scans servers for known vulnerable
fi
les and
version
s

• Wikto is the Windows versio
n

• Nikto is the Linux versio
n

• Included in Kal
i

• Fast and easy to us
e

• Has false positives like all vulnerability
scanner
s

• Must verify results with manual testing
Example
Functional Paths
• Different from old-fashioned tree-
structured
fi
le syste
m

• Every request goes to the same UR
L

• Parameters specify functio
n

• Very different structure to explore
Map of Functional Paths
Discovering Hidden
Parameters
• Try adding "debug=true" to request
s

• Or test, hide, source, etc
.

• Burp Intruder can do this (see Ch 14)
Analyzing the Application
• Key area
s

• Core functionalit
y

• Peripheral behavior: off-site links, error
messages, administrative and logging
functions, and use of redirect
s

• Core security mechanisms: session state,
access control, authenticatio
n

• User registration, password change,
account recovery
Key Areas (continued)
• Everywhere the application processes user-
supplied inpu
t

• URL, query string, POST data, cookie
s

• Client-side technologie
s

• Forms, scripts, thick-client components (Java
applets, ActiveX controls, and Flash), and
cookies
Key Areas (continued)
• Server-side technologie
s

• Static and dynamic pages, request
parameters, SSL, Web server software,
interaction with databases, email systems,
and other back-end components
Entry Points for User Input
RESTful URLs
Request Parameters
• Normally, google.com?q=duc
k

• Here are some nonstandard parameter formats
HTTP Headers
• User-Agent is used to detect small screen
s

• Sometimes to modify content to boost search
engine ranking
s

• May allow XSS and other injection attack
s

• Changing User-Agent may reveal a different
user interface
HTTP Headers
• Applications behind a load balancer or proxy
may use X-Forwarded-For header to identify
sourc
e

• Can be manipulated by attacker to inject content
Out-of-Band Channels
• User data may come in vi
a

• Emai
l

• Publishing content via HTTP from another
server (e.g. WebDAV
)

• IDS that sniffs traf
fi
c and puts it into a
Web applicatio
n

• API interface for non-browser user agents,
such as cell phone apps, and then shares
data with the primary web application
C
Identifying Server-Side
Technologies
Banner Grabbing
• Banners often leak version informatio
n

• Also Web page template
s

• Custom HTTP header
s

• URL query string parameters
HTTP Fingerprinting
• httprecon uses
subtle clues to
identify
versions, not
just banner
s

• Link Ch 4h
Wappalyzer
• Browser extension
File Extensions
• Disclose platform or language
Error Messages
Error Message
File Extension Mappings
• Different DLLs may
lead to different
error messages
OpenText
• Vignette is now rebranded as OpenTex
t

• Link Ch 4i
Directory Names
• Indicate technology in use
Session Tokens
Third-Party Code
Components
• Add common functionality lik
e

• Shopping cart
s

• Login mechanism
s

• Message board
s

• Open-source or commercia
l

• May contain known vulnerabilities
Hack Steps
1. Identify all entry points for user inpu
t

•URL, query string parameters, POST data,
cookies, HTTP header
s

2. Examine query string format; should be some
variation on name/value pai
r

3. Identify any other channels that allow user-
controllable or third-party data into the app
Hack Steps
4. View HTTP server banner returned by the
app; it may use several different server
s

5. Check for other software identi
fi
ers in
custom HTTP headers or HTML source code
 

6. Run httprint to
fi
ngerprint the web serve
r

7. Research software versions for
vulnerabilitie
s

8. Review map of URLs to
fi
nd interesting
fi
le
extensions, directories, etc. with clues about
the technologies in use
httprint
• Not updated since 2005 (link Ch 4j
)

• Alternatives include nmap, Netcraft, and
SHODAN (Link Ch 4k
)

• Also the Wappalyzer Chrome extension
Hack Steps
9. Review names of session tokens to identify
technologies being use
d

10. Use lists of common technologies, or Google,
to identify technologies in use, or discover other
websites that use the same technologie
s

11. Google unusual cookie names, scripts, HTTP
headers, etc. If possible, download and install
the software to analyze it and
fi
nd vulnerabilities
Identifying Server-Side
Functionality
• .jsp - Java Server Page
s

• OrderBy parameter looks like SQ
L

• isExpired suggests that we could get expired
content by changing this value
Identifying Server-Side
Functionality
• .aspx - Active Server Pages (Microsoft
)

• template - seems to be a
fi
lename and loc - looks
like a directory; may be vulnerable to path
traversa
l

• edit - maybe we can change
fi
les if this is tru
e

• ver - perhaps changing this will reveal other
functions to attack
Identifying Server-Side
Functionality
• .php - PH
P

• Connecting to an email server, with user-controllable
content in all
fi
eld
s

• May be usable to send email
s

• Any
fi
elds may be vulnerable to email header injection
Identifying Server-Side
Functionality
• Change action to "edit" or "add
"

• Try viewing other collections by
changing the id number
Extrapolating Application
Behavior
• An application often behaves consistently
across the range of its functionalit
y

• Because code is re-used or written by the
same developer, or to the same speci
fi
cation
s

• So if your SQL injections are being
fi
ltered out,
try injecting elsewhere to see what
fi
ltering is in
effect
Extrapolating Application
Behavior
• If app obfuscates data, try
fi
nding a place where
a user can enter an obfuscated string and
retrieve the original
 

• Such as an error messag
e

• Or test systematically-varying values and
deduce the obfuscation scheme
Error Handling
• Some errors may be properly handled and give
little information

Others may crash and return verbose error
information
Google Dorks
• Link Ch 4p
Isolate Unique Application
Behavior
• App may use a consistent framework that
prevents attack
s

• Look for extra parts "bolted on" later, which
may not be integrated into the framewor
k

• Debug functions, CAPTCHAs, usage tracking,
third-party cod
e

• Different GUI appearance, parameter naming
conventions, comments in source code
Mapping the Attack Surface
• Client-side validatio
n

• Database interaction -- SQL injectio
n

• File uploading and downloading -- Path
traversal, stored XS
S

• Display of user-supplied data - XS
S

• Dynamic redirects -- Redirection and header
attacks
Mapping the Attack Surface
• Social networking features -- username
enumeration, stored XS
S

• Login -- Username enumeration, weak
passwords, brute-force attack
s

• Multistage login -- Logic
fl
aw
s

• Session state -- Predictable tokens, insecure
token handling
Mapping the Attack Surface
• Access controls -- Horizontal and vertical
privilege escalatio
n

• User impersonation functions -- Privilege
escalatio
n

• Cleartext communications -- Session hijacking,
credential thef
t

• Off-site links -- Leakage of query string
parameters in the Referer heade
r

• Interfaces to external systems -- Shortcuts
handling sessions or access controls
Mapping the Attack Surface
• Error messages -- Information leakag
e

• Email interaction -- Email or command injectio
n

• Native code components or interaction -- Buffer
over
fl
ow
s

• Third-party components -- Known vulnerabilitie
s

• Identi
fi
able Web server -- Common
con
fi
guration errors, known bugs
Example
• /auth contains authentication
functions -- test session handling
and access contro
l

• /core/sitestats -- parameters; try
varying them; try wildcards like
all and * ; PageID contains a path,
try traversa
l

• /home -- authenticated user
content; try horizontal privilege
escalation to see other user's info
Example
• /icons and /images -- static content,
might
fi
nd icons indicating third-
party content, but probably nothing
interesting her
e

• /pub -- RESTful resources under /
pub/media and /pub/user; try
changing the numerical value at the
en
d

• /shop -- online shopping, all items
handled similarly; check logic for
possible exploits
D

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CNIT 129S Ch 4: Mapping the Application

  • 1. CNIT 129S: Securing Web Applications Ch 4: Mapping the Applicatio n Sl 56 Updated 2-11-2021
  • 2. Mapping • Enumerate application's content and functionalit y • Some is hidden, requiring guesswork and luck to discove r • Examine every aspect of behavior, security mechanisms, and technologie s • Determine attack surface and vulnerabilities
  • 4. Web Spiders • Load web page, fi nd all links on i t • (into the targeted domain ) • Load those pages, fi nd more link s • Continue until no new content is discovered
  • 5. Web Application Spiders • Also parse HTML form s • Fill in the forms with preset or random values and submit the m • Trying to walk through multistage functionalit y • Can also parse client-side JavaScript to extract URL s • Tool: Zed Attack Prox y • WebScarab & CAT seem old and abandoned
  • 6. Robots.txt • Intended to stop search engine s • May guide spiders to interesting content
  • 7. Limitations of Automatic Spidering • May fail to handle unusual navigation mechanisms, such as dynamically created JavaScript menu s • So it may miss whole areas of an applicatio n • Links buried in compiled client-side objects like ActiveX or Java may be missed
  • 8. Limitations of Automatic Spidering • Forms may have validation checks, such as user registration form s • Email address, telephone number, address, zip cod e • Too complex for most spiders, which use a single text string for all form fi eld s • Spider cannot understand the "Invalid" error messages
  • 9. Limitations of Automatic Spidering • Spiders only fetch each URL onc e • But applications use forms-based navigation, in which the same URL may return different content and function s • For example, a bank may implement every user action with a POST to /account.jsp with parameters determining the actio n • Spiders aren't smart enough to handle that
  • 10. Limitations of Automatic Spidering • Some applications place volatile data within URL s • Parameters containing timers or random number seed s • Spider will fetch the same page over and over, thinking it's ne w • May freeze up
  • 11. Limitations of Automatic Spidering • Authentication: spider must be able to submit valid credential s • Perhaps using a valid cooki e • However, spiders often break the authenticated session, b y • Requesting a logout functio n • Submitting invalid input to a sensitive functio n • Requesting pages out-of-sequence
  • 12. Warning • Spiders may fi nd an administrative page and click every lin k • Delete User, Shut Down Database, Restart Server...
  • 13. User-Directed Spidering • More sophisticated and controlled technique than automated spidering, usually preferabl e • User walks through application using a browser connected to Burp (or another proxy ) • The proxy collects all requests and responses
  • 15. • Note items in car t • "user" contains only 5 URLs
  • 17. A
  • 18. Advantages of User-Directed Spidering • User can follow unusual or complex navigation mechanism s • User can enter valid data where neede d • User can log in as neede d • User can avoid dangerous functionality, such as deleteUser.jsp
  • 19. Browser Tools • Chrome's Developer Tools can show details of requests and responses within the browse r • No proxy neede d • Often useful; shows timing as well as content
  • 20.
  • 21.
  • 22. Discovering Hidden Content • Finding it requires automated testing, manual testing, and luc k • Testing or debugging features left in applicatio n • Different functionality for different categories of user s • Anonymous, authenticated, administrator s • Backup copies of live fi le s • May be non-executable and reveal source code
  • 23. Discovering Hidden Content • Backup archives that contain snapshot of entire applicatio n • New functionality implemented for testing but not yet linked from main applicatio n • Default functionality in an off-the-shelf application that has been super fi cially hidden from the user but not remove d • Old versions of fi les--may still be exploitable
  • 24. Discovering Hidden Content • Con fi guration and include fi les containing sensitive data such as database credential s • Source fi les from which application functions were compile d • Comments in source code; may contain usernames and passwords, "test this" marks, and other useful dat a • Log fi les--may contain valid usernames, session tokens, etc.
  • 25. Brute-Force Techniques • Suppose user-directed spidering fi nds the URLs on the lef t • A brute-forcer will try names as shown on the right
  • 26. Burp's Brute-Forcer • Burp's brute- forcer is very slow in the free version
  • 27. Dirb • Good brute-force spidering tool • Included in Kali Linux
  • 28. B
  • 29. Inference from Published Content • Look for pattern s • All subdirectories of "auth" start with a capital lette r • One is "ForgotPassword", so try these
  • 30. Other Patterns • Names may use numbers or date s • Check include fi les from HTML and JavaScrip t • They may be publicly readabl e • Comments may include database names, SQL query string s • Java applets and ActiveX controls may contain sensitive data
  • 31. More Clues • Search for temporary fi les created by tools and fi le editor s • .DS_Store fi le (a directory index created by Mac OS X ) • fi le.php-1 created when fi le.php is edite d • .tmp fi les created by many tools
  • 33. Google's Skip fi sh • Vulnerability scanner but main strength is fi nding fi les and folder s • Links Ch 4d, 4e
  • 34. Public Information • Search engines (and cached content ) • Web archives such as the Wayback Machin e • Posts to forums like Stack Exchange
  • 36. Web Server Vulnerabilities • Some Web servers let you list directory contents or see raw source cod e • Sample and diagnostic scripts may contain vulnerabilities
  • 37. Nikto and Wikto • Scans servers for known vulnerable fi les and version s • Wikto is the Windows versio n • Nikto is the Linux versio n • Included in Kal i • Fast and easy to us e • Has false positives like all vulnerability scanner s • Must verify results with manual testing
  • 39. Functional Paths • Different from old-fashioned tree- structured fi le syste m • Every request goes to the same UR L • Parameters specify functio n • Very different structure to explore
  • 41. Discovering Hidden Parameters • Try adding "debug=true" to request s • Or test, hide, source, etc . • Burp Intruder can do this (see Ch 14)
  • 42. Analyzing the Application • Key area s • Core functionalit y • Peripheral behavior: off-site links, error messages, administrative and logging functions, and use of redirect s • Core security mechanisms: session state, access control, authenticatio n • User registration, password change, account recovery
  • 43. Key Areas (continued) • Everywhere the application processes user- supplied inpu t • URL, query string, POST data, cookie s • Client-side technologie s • Forms, scripts, thick-client components (Java applets, ActiveX controls, and Flash), and cookies
  • 44. Key Areas (continued) • Server-side technologie s • Static and dynamic pages, request parameters, SSL, Web server software, interaction with databases, email systems, and other back-end components
  • 45. Entry Points for User Input
  • 47. Request Parameters • Normally, google.com?q=duc k • Here are some nonstandard parameter formats
  • 48. HTTP Headers • User-Agent is used to detect small screen s • Sometimes to modify content to boost search engine ranking s • May allow XSS and other injection attack s • Changing User-Agent may reveal a different user interface
  • 49. HTTP Headers • Applications behind a load balancer or proxy may use X-Forwarded-For header to identify sourc e • Can be manipulated by attacker to inject content
  • 50. Out-of-Band Channels • User data may come in vi a • Emai l • Publishing content via HTTP from another server (e.g. WebDAV ) • IDS that sniffs traf fi c and puts it into a Web applicatio n • API interface for non-browser user agents, such as cell phone apps, and then shares data with the primary web application
  • 51. C
  • 53. Banner Grabbing • Banners often leak version informatio n • Also Web page template s • Custom HTTP header s • URL query string parameters
  • 54. HTTP Fingerprinting • httprecon uses subtle clues to identify versions, not just banner s • Link Ch 4h
  • 56. File Extensions • Disclose platform or language
  • 59. File Extension Mappings • Different DLLs may lead to different error messages
  • 60. OpenText • Vignette is now rebranded as OpenTex t • Link Ch 4i
  • 61. Directory Names • Indicate technology in use
  • 63. Third-Party Code Components • Add common functionality lik e • Shopping cart s • Login mechanism s • Message board s • Open-source or commercia l • May contain known vulnerabilities
  • 64. Hack Steps 1. Identify all entry points for user inpu t •URL, query string parameters, POST data, cookies, HTTP header s 2. Examine query string format; should be some variation on name/value pai r 3. Identify any other channels that allow user- controllable or third-party data into the app
  • 65. Hack Steps 4. View HTTP server banner returned by the app; it may use several different server s 5. Check for other software identi fi ers in custom HTTP headers or HTML source code 6. Run httprint to fi ngerprint the web serve r 7. Research software versions for vulnerabilitie s 8. Review map of URLs to fi nd interesting fi le extensions, directories, etc. with clues about the technologies in use
  • 66. httprint • Not updated since 2005 (link Ch 4j ) • Alternatives include nmap, Netcraft, and SHODAN (Link Ch 4k ) • Also the Wappalyzer Chrome extension
  • 67. Hack Steps 9. Review names of session tokens to identify technologies being use d 10. Use lists of common technologies, or Google, to identify technologies in use, or discover other websites that use the same technologie s 11. Google unusual cookie names, scripts, HTTP headers, etc. If possible, download and install the software to analyze it and fi nd vulnerabilities
  • 68. Identifying Server-Side Functionality • .jsp - Java Server Page s • OrderBy parameter looks like SQ L • isExpired suggests that we could get expired content by changing this value
  • 69. Identifying Server-Side Functionality • .aspx - Active Server Pages (Microsoft ) • template - seems to be a fi lename and loc - looks like a directory; may be vulnerable to path traversa l • edit - maybe we can change fi les if this is tru e • ver - perhaps changing this will reveal other functions to attack
  • 70. Identifying Server-Side Functionality • .php - PH P • Connecting to an email server, with user-controllable content in all fi eld s • May be usable to send email s • Any fi elds may be vulnerable to email header injection
  • 71. Identifying Server-Side Functionality • Change action to "edit" or "add " • Try viewing other collections by changing the id number
  • 72. Extrapolating Application Behavior • An application often behaves consistently across the range of its functionalit y • Because code is re-used or written by the same developer, or to the same speci fi cation s • So if your SQL injections are being fi ltered out, try injecting elsewhere to see what fi ltering is in effect
  • 73. Extrapolating Application Behavior • If app obfuscates data, try fi nding a place where a user can enter an obfuscated string and retrieve the original • Such as an error messag e • Or test systematically-varying values and deduce the obfuscation scheme
  • 74. Error Handling • Some errors may be properly handled and give little information
 Others may crash and return verbose error information
  • 76.
  • 77. Isolate Unique Application Behavior • App may use a consistent framework that prevents attack s • Look for extra parts "bolted on" later, which may not be integrated into the framewor k • Debug functions, CAPTCHAs, usage tracking, third-party cod e • Different GUI appearance, parameter naming conventions, comments in source code
  • 78. Mapping the Attack Surface • Client-side validatio n • Database interaction -- SQL injectio n • File uploading and downloading -- Path traversal, stored XS S • Display of user-supplied data - XS S • Dynamic redirects -- Redirection and header attacks
  • 79. Mapping the Attack Surface • Social networking features -- username enumeration, stored XS S • Login -- Username enumeration, weak passwords, brute-force attack s • Multistage login -- Logic fl aw s • Session state -- Predictable tokens, insecure token handling
  • 80. Mapping the Attack Surface • Access controls -- Horizontal and vertical privilege escalatio n • User impersonation functions -- Privilege escalatio n • Cleartext communications -- Session hijacking, credential thef t • Off-site links -- Leakage of query string parameters in the Referer heade r • Interfaces to external systems -- Shortcuts handling sessions or access controls
  • 81. Mapping the Attack Surface • Error messages -- Information leakag e • Email interaction -- Email or command injectio n • Native code components or interaction -- Buffer over fl ow s • Third-party components -- Known vulnerabilitie s • Identi fi able Web server -- Common con fi guration errors, known bugs
  • 82. Example • /auth contains authentication functions -- test session handling and access contro l • /core/sitestats -- parameters; try varying them; try wildcards like all and * ; PageID contains a path, try traversa l • /home -- authenticated user content; try horizontal privilege escalation to see other user's info
  • 83. Example • /icons and /images -- static content, might fi nd icons indicating third- party content, but probably nothing interesting her e • /pub -- RESTful resources under / pub/media and /pub/user; try changing the numerical value at the en d • /shop -- online shopping, all items handled similarly; check logic for possible exploits
  • 84. D