Floating-point numbers can take on two kinds of exceptional values, infinity and NaN
(not-a-number). These values are produced as a result of exceptional or otherwise unresolvable floating point operations. (See also, FLP32-C. Prevent or detect domain and range errors in math functions). Additionally, they can be obtained directly from user input through the aid of methods like Double.valueOf(String s)
. Failure to detect and handle such values can result in inconsistent behavior.
NaN
values are particularly problematic, as the expression NaN == NaN
always returns false
(See FLP02-J. Do not attempt comparisons with NaN). In general, any comparisons made with NaN
return false
, and all arithmetic functions on NaN
inputs simply propagate the taint throughout the code. Hence, just one occurrence of a NaN
value can effectuate negative repercussions within other code segments.
The method Double.valueOf(String s)
can return NaN
or an infinite double
as specified by its contract. Programs should install checks to ensure that all floating point inputs (especially those obtained from the user) do not contain either of these values before proceeding to operate on them. The methods Double.isNaN(double d)
and Double.isInfinite(double d)
can be used for this purpose.
Noncompliant Code Example
The following noncompliant code accepts user data without first validating it.
double currentBalance; /* User's cash balance */ void doDeposit(String userInput){ double val; try { val = Double.valueOf(userInput); } catch(NumberFormatException e) { /*Handle input format error*/ } if(val >= Double.MAX_VALUE - currentBalance) { /*Handle range error*/ } currentBalance+=val; }
This can be a problem if an invalid value is entered for val
and subsequently used in calculations or as control values. The user could, for example, input the strings "Infinity" or "NaN" on the command line, which would be parsed by Double.valueOf(String s)
into the floating-point representations of either infinity
or NaN
. All subsequent calculations using these values would be invalid, possibly crashing the program and enabling a DoS attack.
Here, for example, entering "NaN" for val
would force currentBalance to also equal "NaN", corrupting its value. If this value is used in other expressions, every resulting value would also be NaN
, possibly destroying important data.
Compliant Code Example
The following code first validates the floating point input before using it. The value is tested to ensure that it is neither infinity, negative infinity nor NaN
.
double currentBalance; /* User's cash balance */ void doDeposit(String s){ double val; try { val = Double.valueOf(userInput); } catch(NumberFormatException e) { /*Handle input format error*/ } if (Double.isInfinite(val)){ /* handle infinity error */ } if (Double.isNaN(val)) { /* handle NaN error */ } if(val >= Double.MAX_VALUE-currentBalance) { /*Handle range error*/ } currentBalance+=val; }
Exceptions
Occasionally, NaN
or infinity may be acceptable or expected inputs to a program. If this is the case, then explicit checks may not be necessary. Such programs must, however, be prepared to handle these inputs gracefully and should not allow the propagation of taint to other values when using them in mathematical expressions where they are inappropriate.
Risk Assessment
Incorrect or missing validation of floating point inputs can result in miscalculations and unexpected results, possibly leading to inconsistent program behavior and denial of service (DoS).
Recommendation |
Severity |
Likelihood |
Remediation Cost |
Priority |
Level |
---|---|---|---|---|---|
FLP04-J. |
low |
probable |
medium |
P4 |
L3 |
Automated Detection
TODO
Related Vulnerabilities
Search for vulnerabilities resulting from the violation of this rule on the CERT website.
Other Languages
This rule appears in the C Secure Coding Standard as FLP04-C. Check floating point inputs for exceptional values