Date: Thu, 28 Mar 2024 12:18:06 +0000 (UTC)
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Subject: Exported From Confluence
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Source code analysis produces a large amount of =E2=80=9Cfalse p=
ositive=E2=80=9D results, which is one of the biggest complaints we hear ag=
ainst source code analyzers. Development teams spend significant amounts of=
time filtering out what=E2=80=99s real and what=E2=80=99s not real. This i=
s colossal waste of time for the development team. And it can eat=
away at team morale.
Regardless of how skilled a developer may be, it is likely that their co=
de will have some kind of unintentional error or vulnerability. To ensure t=
hat these coding errors and vulnerabilities are identified early, developer=
s often use a Code Inspection tool, which chec=
ks the code against rules that developers have set up.
However, static code analyzers are not perfect, and sometimes the tool c=
an identify false positives and false negatives. If these coding errors are=
not caught, it could have a significant and noticeable impact on the code.=
For that reason, it is essential for you to be able to effectively ident=
ify false positive and false negatives within your static code analysis res=
ults.
Static Reviewer, further to extremely reduce the amount of False Positiv=
es, has 0 False Negatives.
See OWASP Benchmark results and our patented algorithm, named Dynamic Syntax Tree.
Anyway, you can mark such few False Positives Per Category, Per Issue an=
d Per File. They will be listed inside the reports:
What Is a =
False Positive?
A false positive is an issue that doesn=E2=80=99t actually exist in the =
code. It doesn=E2=80=99t need to be fixed. This happens when no rule violat=
ion exists, but a diagnostic is generated.
Meanwhile, a true positive is an issue that needs to be fixed. It violat=
es a rule and is, in fact, a real problem.
But sifting the true positives from the false ones can be tricky. And fa=
lse negatives can be even trickier.
What Is a =
False Negative?
A false negative is an issue that goes undetected. This happens when a r=
ule violation exists, but no diagnostic is created.
Meanwhile, a true negative means you don=E2=80=99t have an issue. There =
is no rule violation.
So, finding false negatives is really tricky. How will you know if there=
=E2=80=99s a bug you=E2=80=99ve missed?
What Causes False Positives and False Negatives?
There are two primary causes of false diagnostics.
Tools aren=E2=80=99t perfect. They make mistakes. And false positives an=
d negatives are inevitable.
That=E2=80=99s why it=E2=80=99s critical to have a human looking over yo=
ur code =E2=80=94 and any violations detected by the tool.
For instance, you may have a rule that there can be no Divide By Zero (D=
BZ) issues. The tool may then flag a section of code with a DBZ issue. So, =
you take a closer look at it and realize that there isn=E2=80=99t actually =
an issue here. You just had a false positive.
Undecidable Rul=
es
You might have coding rules that can=E2=80=99t be decided =E2=80=94 they=
=E2=80=99re undecidable. And that means it can=E2=80=99t be enforced with 1=
00 percent accuracy.
How Does Undecidability Happen?
Undecidability can happen when you lack visibility.
If you had perfect visibility into everything in your program, you=E2=80=
=99d be able to decide whether a rule was violated or not. You could review=
diagnostics from a static analyzer and know =E2=80=9CThat=E2=80=99s a fals=
e positive!=E2=80=9D
But, you don=E2=80=99t know everything that=E2=80=99s gone into your pro=
gram. Other programmers wrote code for other parts of the program that you =
don=E2=80=99t have access to (e.g., firmware). Input came in from elsewhere=
. So, without clear visibility into everything, you can=E2=80=99t tell if t=
here=E2=80=99s a real problem.
How to Diagnose False Positives and False Negatives
There are some false positives and false negatives that are no-brainers.=
They=E2=80=99re clearly black or white.
But there=E2=80=99s always a grey area.
Deciding False Positives and Negatives
Deciding diagnostics is subjective. It depends on the industry you=E2=80=
=99re working in. And it depends on the coding rules you=E2=80=99re working=
with.
False Positiv=
es Vary
A false positive for one company might not be a false positive for anoth=
er.
Here's a false positive example. You might be developing software t=
hat will go in a Medical Device. Lives could be at risk if there are i=
ssues in the software. So, if you have a rule that there can be no DBZ issu=
es =E2=80=94 and you get a diagnostic that there are =E2=80=94 you=E2=
=80=99ll need to carefully evaluate each violation.
But, you might be developing software to go in an entertainment system. =
So, you=E2=80=99d want to dismiss false positives quickly. You only want to=
look at true positives.
False Neg=
atives Vary, Too
Likewise, a false negative for one company might not be false for anothe=
r.
Here's a false negative example. You might use CERT or MISRA coding rules if you need to be really defensive about your prog=
ram. A rule would be a false negative if it didn=E2=80=99t catch the <=
em>possibility of something happening.
But, for another company, it would only be a false negative if it didn=
=E2=80=99t catch something that will absolutely happen.<=
/p>
As you expand your visibility, what you would consider a false positive =
or false negative gets refined.
Proving False Positives and Negatives
How much work you need to do to prove false positives and negatives vari=
es. If you=E2=80=99re in a high-risk, safety-critical industry, you=E2=80=
=99ll need to prove it false. If you=E2=80=99re in a lower-risk industry, y=
ou might be able to review the diagnostic, dismiss it as false, and move on=
.
How to Reduce False Positives and False Negatives
False positives and false negatives are inevitable.
False positives cost additional review time. And they may cause real iss=
ues to be hastily dismissed.
False negatives are a key concern for mission-critical software develope=
rs. For these developers, false positives are better than false negatives.<=
/p>
Not All Code Checkers Are the Same=E2=80=A6
Not all code checkers =E2=80=94 e.g., MISRA checkers =E2=80=94=
are the same. Some are more accurate than others. And some will give you m=
ore false positives and false negatives in your diagnostics.
What MISRA C=
heckers Do
A MISRA=C2=AE checker evaluates your C/C++ code against the MISRA c=
oding standard. It identifies noncompliant code. And you'll then know which=
code you need to fix. However...
Eve=
ry MISRA Checker Is Different
Some MISRA checkers produce false diagnostics. You get false positives =
=E2=80=94 or worse, you get false negatives.
Other MISRA checkers do not help with undecidable conditions. They can't=
tell whether or not your code is compliant.
In this white paper, you'll learn:
-
Why some MISRA checkers are better than others.
-
How to enforce undecidable MISRA rules.
-
What to look for in your MISRA checker for C/C++.
Choose =
the Best Code Checker
Choosing the right code analyzer gives you better diagnostics.=
There are several characteristics that should be considered when selecti=
ng a tool to check for coding standards:
-
Complete dataflow and execution analysis. Tools that ca=
n find violations of syntactic rules, as well as problems that require deep=
semantic knowledge of the entire program, are necessary.
-
Ability to enable/disable enforcement of certain rules.=
You also want the ability to define your own rules, in case you add some t=
hat are specific to your project, and disable other rules, if they are unre=
lated to your deployed environment.
-
Presence of command-line version to seamlessly integrate the ana=
lysis in the build process. Tools should support existing build en=
vironments and not require radical changes to your existing tools and =
processes. Command-line versions also allow for nightly batch runs of the c=
ode checker to collect quality data.
-
Comparison and report features. Knowing how the code qu=
ality progresses from build to build is essential in tracking the quality o=
f your code.
-
Detailed description and visible call path for warnings=
.
-
Cost of ownership.
When you get the right diagnostics, you can reduce false positives and f=
alse negatives. So, you=E2=80=99ll have safe and secure code. Consistent st=
yle. And an easier-to-maintain codebase.
Security Reviewer Qualification Kit
Security Reviewer offers a Qualification Kit which prov=
ides documentation, test cases, and procedures that let you qualify Securit=
y Reviewer Code Inspection for projects based on the safety standards MISRA and CERT.
The kit contains tool qualification plans, tool operational requirements, a=
nd other materials required for qualifying Security Reviewer for usage in s=
afety critical projects. For every used feature of Security Reviewer the us=
er is able to execute test cases in his environment that demonstrate the ab=
sence of errors.
The kit facilitates certification of embedded systems which use Security Re=
viewer for analyzing developed code. The user can modify the artifacts in t=
he tool qualification kit for its specific project.
The Qualification Kit for Security Reviewer consists of:
-
A qualification support tool that guides the user through the qualificat=
ion and generates the following documents:
-
The test automation unit
-
The test suite with test cases.
-
The user manual of the Qualification Kit
The kit includes generic compliance reports that demonstrate compliance =
of Security Reviewer with essential security standards.
Software tool manufacturers offer certificates and / or qualification ki=
ts for their tools, which are used in safety-critical projects such as ISO =
26262.
While the Tool-Qualification-Kit can be used in all projects, "tool certifi=
cations" are always linked to a particular environment and are therefore ge=
nerally not effective.
The Qualification Kit for Security Reviewer is used successfully by impo=
rtant companies in automotive, medical and aerospace sectors. Most of them =
rate the kit of "best in class".
Ask to info@securityreviewer.com
OWASP Benchmark=
h2>
The OWASP Benchmark Project is a Java test suite =
designed to evaluate the accuracy, coverage, and speed of automated softwar=
e vulnerability detection tools. Without the ability to measure these tools=
, it is difficult to understand their strengths and weaknesses, and compare=
them to each other on False Positives and False Negatives. In order to pro=
perly measure a tool, both OWASP Benchmark v1.1 and v1.2 must be executed.=
Security Reviewer is rated on top of OWASP Benchmark with the following =
results:
-
v1.2 =E2=86=92 100%, with 0% of False Positives and 0% of False Negative=
s
-
v1.1 =E2=86=92 92%, with 5.1% of False Positives and 2.9% of False Negat=
ives
-
v1.1+v.1.2 =E2=86=92 96% with 2.5% of average False Positive, on which t=
he most important vulnerabilites have 0%.
=
It demonstrated the lowest False Positive Rate and Best Accuracy Score. =
Benchmark results can be independently verified. For more information, plea=
se contact Security Reviewer at info@securityreviewer.com
Mos=
t important vulnerabilities
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