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Active scanning methods include using a port scanner to find open ports, testing web applications for weak passwords or insecure code, or sending web links to users in the hope that they will visit a web site that will log their IP address and information that might identify potential attack vectors Passive scanning uses less intrusive means of observation, so as not to leave indications that a scan is taking place Passive scanning requires much more patience, because the techniques are rather investigative in nature Searching newspapers and job boards for specific technologies will give indications of what technologies are being used Requests for assistance on a vendor s support page or a mailing list will tell an attacker not only what technologies are in use, but what problems the users are having, and potentially very detailed information about what solutions are being implemented.

Listing 16-3 shows a lexer that constructs a list of tokens that then is printed. It can recognize integers, floats, identifiers, and the symbols ^, *, -, and +. Any other character causes a runtime exception. Listing 16-3. SimpleTokensLex.fsl: Lexing Simple Tokens: Integers, Floats, and Identifiers { module SimpleTokensLex open System type token = | INT | FLOAT | ID | STRING | PLUS | | EOF of int of float of string of string MINUS | TIMES | HAT

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You may also be able to gather information about the staff responsible for the network When looking for information that could be used against an organization, the search must be comprehensive, often including chat rooms, the whois database, newsgroups, web sites, mailing list archives, and the target user or company s web site A company web site can even give an attacker usernames, e-mail addresses, and the location of CGI scripts on web servers Sometimes there will even be passwords discovered, or at least hints as to password policies To help reduce the amount of information about your organization that is on the Web, consider routinely using Google to search for information that is available about your organization There are a number of advanced Google search operators that make it easier to narrow your search For example, A search for site:mysite.

let lexeme = Lexing.LexBuffer<_>.LexemeString } let let let let let let num intNum floatNum ident whitespace newline = = = = = = ['0'-'9']+ '-' num '-' num ('.' num) (['e' 'E'] num) ['a'-'z']+ ' ' | '\t' '\n' | '\r' '\n'

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Google will actually answer search questions by SMS. If you text 466453 (the numbers spell out Google ) you can ask a search question and receive a text answer. It s especially handy for finding things nearby. Good examples are things like movies Chicago, IL or weather Detroit. You can also get quick answers to things like cups in ounces. The answers are completely automated, but they don t cost you anything beyond what you pay your carrier for regular text messages.

rule token = parse | intNum { INT (Convert.ToInt32 (lexeme lexbuf)) }

Fingerprinting is the practice of gathering as much information as possible about your systems or network and using that information to positively identify the hardware and software in use. The goal is to get as much information as possible about a network or host s security, including its remote access capabilities, vulnerable services, and open ports. Successfully attacking a system depends on having this information. Tools that can be used in fingerprinting include general-purpose tools such as host, dig and traceroute, and specialized tools like nmap and Ethereal.

floatNum ident '+' '-' '*' '^' whitespace newline eof _

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