Merge pull request #19295 from MathiasVP/cpp-add-mad-generation-library

C++: Instantiate model generation library
This commit is contained in:
Mathias Vorreiter Pedersen
2025-04-23 11:32:16 +01:00
committed by GitHub
20 changed files with 802 additions and 0 deletions

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extensions:
- addsTo:
pack: codeql/cpp-all
extensible: summaryModel
data: []

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@@ -16,6 +16,7 @@ dependencies:
codeql/xml: ${workspace}
dataExtensions:
- ext/*.model.yml
- ext/generated/*.model.yml
- ext/deallocation/*.model.yml
- ext/allocation/*.model.yml
warnOnImplicitThis: true

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/**
* @name Capture content based summary models.
* @description Finds applicable content based summary models to be used by other queries.
* @kind diagnostic
* @id cpp/utils/modelgenerator/contentbased-summary-models
* @tags modelgenerator
*/
import internal.CaptureModels
from DataFlowSummaryTargetApi api, string flow
where flow = ContentSensitive::captureFlow(api, _)
select flow order by flow

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/**
* @name Capture mixed neutral models.
* @description Finds neutral models to be used by other queries.
* @kind diagnostic
* @id cpp/utils/modelgenerator/mixed-neutral-models
* @tags modelgenerator
*/
import internal.CaptureModels
from DataFlowSummaryTargetApi api, string noflow
where noflow = captureMixedNeutral(api)
select noflow order by noflow

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/**
* @name Capture mixed summary models.
* @description Finds applicable summary models to be used by other queries.
* @kind diagnostic
* @id cpp/utils/modelgenerator/mixed-summary-models
* @tags modelgenerator
*/
import internal.CaptureModels
from DataFlowSummaryTargetApi api, string flow
where flow = captureMixedFlow(api, _)
select flow order by flow

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/**
* @name Capture neutral models.
* @description Finds neutral models to be used by other queries.
* @kind diagnostic
* @id cpp/utils/modelgenerator/neutral-models
* @tags modelgenerator
*/
import internal.CaptureModels
from DataFlowSummaryTargetApi api, string noflow
where noflow = captureNoFlow(api)
select noflow order by noflow

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/**
* @name Capture sink models.
* @description Finds public methods that act as sinks as they flow into a known sink.
* @kind diagnostic
* @id cpp/utils/modelgenerator/sink-models
* @tags modelgenerator
*/
import internal.CaptureModels
from DataFlowSinkTargetApi api, string sink
where sink = captureSink(api)
select sink order by sink

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/**
* @name Capture source models.
* @description Finds APIs that act as sources as they expose already known sources.
* @kind diagnostic
* @id cpp/utils/modelgenerator/source-models
* @tags modelgenerator
*/
import internal.CaptureModels
from DataFlowSourceTargetApi api, string source
where source = captureSource(api)
select source order by source

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/**
* @name Capture summary models.
* @description Finds applicable summary models to be used by other queries.
* @kind diagnostic
* @id cpp/utils/modelgenerator/summary-models
* @tags modelgenerator
*/
import internal.CaptureModels
from DataFlowSummaryTargetApi api, string flow
where flow = captureFlow(api)
select flow order by flow

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#!/usr/bin/python3
import sys
import os.path
import subprocess
# Add Model as Data script directory to sys.path.
gitroot = subprocess.check_output(["git", "rev-parse", "--show-toplevel"]).decode("utf-8").strip()
madpath = os.path.join(gitroot, "misc/scripts/models-as-data/")
sys.path.append(madpath)
import generate_flow_model as model
language = "cpp"
model.Generator.make(language).run()

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/**
* Provides predicates related to capturing summary models of the Standard or a 3rd party library.
*/
private import cpp
private import semmle.code.cpp.ir.IR
private import semmle.code.cpp.dataflow.ExternalFlow as ExternalFlow
private import semmle.code.cpp.ir.dataflow.internal.DataFlowImplCommon as DataFlowImplCommon
private import semmle.code.cpp.ir.dataflow.internal.DataFlowImplSpecific
private import semmle.code.cpp.ir.dataflow.internal.DataFlowPrivate as DataFlowPrivate
private import semmle.code.cpp.dataflow.internal.FlowSummaryImpl as FlowSummaryImpl
private import semmle.code.cpp.ir.dataflow.internal.TaintTrackingImplSpecific
private import semmle.code.cpp.dataflow.new.TaintTracking
private import codeql.mad.modelgenerator.internal.ModelGeneratorImpl
module ModelGeneratorInput implements ModelGeneratorInputSig<Location, CppDataFlow> {
class Type = DataFlowPrivate::DataFlowType;
// Note: This also includes `this`
class Parameter = DataFlow::ParameterNode;
class Callable = Declaration;
class NodeExtended extends DataFlow::Node {
Callable getAsExprEnclosingCallable() { result = this.asExpr().getEnclosingDeclaration() }
}
Parameter asParameter(NodeExtended n) { result = n }
Callable getEnclosingCallable(NodeExtended n) {
result = n.getEnclosingCallable().asSourceCallable()
}
Callable getAsExprEnclosingCallable(NodeExtended n) {
result = n.asExpr().getEnclosingDeclaration()
}
/** Gets `api` if it is relevant. */
private Callable liftedImpl(Callable api) { result = api and relevant(api) }
private predicate hasManualSummaryModel(Callable api) {
api = any(FlowSummaryImpl::Public::SummarizedCallable sc | sc.applyManualModel()) or
api = any(FlowSummaryImpl::Public::NeutralSummaryCallable sc | sc.hasManualModel())
}
private predicate hasManualSourceModel(Callable api) {
api = any(FlowSummaryImpl::Public::NeutralSourceCallable sc | sc.hasManualModel())
}
private predicate hasManualSinkModel(Callable api) {
api = any(FlowSummaryImpl::Public::NeutralSinkCallable sc | sc.hasManualModel())
}
/**
* Holds if `f` is a "private" function.
*
* A "private" function does not contribute any models as it is assumed
* to be an implementation detail of some other "public" function for which
* we will generate a summary.
*/
private predicate isPrivateOrProtected(Function f) {
f.getNamespace().getParentNamespace*().isAnonymous()
or
exists(MemberFunction mf | mf = f |
mf.isPrivate()
or
mf.isProtected()
)
or
f.isStatic()
}
private predicate isUninterestingForModels(Callable api) {
// Note: This also makes all global/static-local variables
// not relevant (which is good!)
not api.(Function).hasDefinition()
or
isPrivateOrProtected(api)
or
api instanceof Destructor
or
api = any(LambdaExpression lambda).getLambdaFunction()
or
api.isFromUninstantiatedTemplate(_)
}
private predicate relevant(Callable api) {
api.fromSource() and
not isUninterestingForModels(api)
}
class SummaryTargetApi extends Callable {
private Callable lift;
SummaryTargetApi() {
lift = liftedImpl(this) and
not hasManualSummaryModel(lift)
}
Callable lift() { result = lift }
predicate isRelevant() {
relevant(this) and
not hasManualSummaryModel(this)
}
}
class SourceOrSinkTargetApi extends Callable {
SourceOrSinkTargetApi() { relevant(this) }
}
class SinkTargetApi extends SourceOrSinkTargetApi {
SinkTargetApi() { not hasManualSinkModel(this) }
}
class SourceTargetApi extends SourceOrSinkTargetApi {
SourceTargetApi() { not hasManualSourceModel(this) }
}
class InstanceParameterNode extends DataFlow::ParameterNode {
InstanceParameterNode() {
DataFlowPrivate::nodeHasInstruction(this,
any(InitializeParameterInstruction i | i.hasIndex(-1)), 1)
}
}
private predicate isFinalMemberFunction(MemberFunction mf) {
mf.isFinal()
or
mf.getDeclaringType().isFinal()
}
/**
* Holds if the summary generated for `c` should also apply to overrides
* of `c`.
*/
private string isExtensible(Callable c) {
if isFinalMemberFunction(c) then result = "false" else result = "true"
}
/**
* Gets the string representing the list of template parameters declared
* by `template`.
*
* `template` must either be:
* - An uninstantiated template, or
* - A declaration that is not from a template instantiation.
*/
private string templateParams(Declaration template) {
exists(string params |
params =
concat(int i |
|
template.getTemplateArgument(i).(TypeTemplateParameter).getName(), "," order by i
)
|
if params = "" then result = "" else result = "<" + params + ">"
)
}
/**
* Gets the string representing the list of parameters declared
* by `functionTemplate`.
*
* `functionTemplate` must either be:
* - An uninstantiated template, or
* - A declaration that is not from a template instantiation.
*/
private string params(Function functionTemplate) {
exists(string params |
params =
concat(int i |
|
ExternalFlow::getParameterTypeWithoutTemplateArguments(functionTemplate, i, true), ","
order by
i
) and
result = "(" + params + ")"
)
}
/**
* Holds if the callable `c` is:
* - In the namespace represented by `namespace`, and
* - Has a declaring type represented by `type`, and
* - Has the name `name`, and
* - Has a list of parameters represented by `params`
*
* This is the predicate that computes the columns that it put into the MaD
* row for `callable`.
*/
private predicate qualifiedName(
Callable callable, string namespace, string type, string name, string params
) {
exists(
Function functionTemplate, string typeWithoutTemplateArgs, string nameWithoutTemplateArgs
|
functionTemplate = ExternalFlow::getFullyTemplatedFunction(callable) and
functionTemplate.hasQualifiedName(namespace, typeWithoutTemplateArgs, nameWithoutTemplateArgs) and
nameWithoutTemplateArgs = functionTemplate.getName() and
name = nameWithoutTemplateArgs + templateParams(functionTemplate) and
params = params(functionTemplate)
|
exists(Class classTemplate |
classTemplate = functionTemplate.getDeclaringType() and
type = typeWithoutTemplateArgs + templateParams(classTemplate)
)
or
not exists(functionTemplate.getDeclaringType()) and
type = ""
)
}
predicate isRelevantType(Type t) { any() }
Type getUnderlyingContentType(DataFlow::ContentSet c) {
result = c.(DataFlow::FieldContent).getField().getUnspecifiedType() or
result = c.(DataFlow::UnionContent).getUnion().getUnspecifiedType()
}
string qualifierString() { result = "Argument[-1]" }
private predicate parameterContentAccessImpl(Parameter p, string argument) {
exists(int indirectionIndex, int argumentIndex, DataFlowPrivate::Position pos |
p.isSourceParameterOf(_, pos) and
pos.getArgumentIndex() = argumentIndex and
argumentIndex != -1 and // handled elsewhere
pos.getIndirectionIndex() = indirectionIndex
|
indirectionIndex = 0 and
argument = "Argument[" + argumentIndex + "]"
or
indirectionIndex > 0 and
argument = "Argument[" + DataFlow::repeatStars(indirectionIndex) + argumentIndex + "]"
)
}
string parameterAccess(Parameter p) { parameterContentAccessImpl(p, result) }
string parameterContentAccess(Parameter p) { parameterContentAccessImpl(p, result) }
bindingset[c]
string paramReturnNodeAsOutput(Callable c, DataFlowPrivate::Position pos) {
exists(Parameter p |
p.isSourceParameterOf(c, pos) and
result = parameterAccess(p)
)
or
pos.getArgumentIndex() = -1 and
result = qualifierString() and
pos.getIndirectionIndex() = 1
}
bindingset[c]
string paramReturnNodeAsContentOutput(Callable c, DataFlowPrivate::ParameterPosition pos) {
result = paramReturnNodeAsOutput(c, pos)
}
pragma[nomagic]
Callable returnNodeEnclosingCallable(DataFlow::Node ret) {
result = DataFlowImplCommon::getNodeEnclosingCallable(ret).asSourceCallable()
}
/** Holds if this instance access is to an enclosing instance of type `t`. */
pragma[nomagic]
private predicate isEnclosingInstanceAccess(DataFlowPrivate::ReturnNode n, Class t) {
n.getKind().isIndirectReturn(-1) and
t = n.getType().stripType() and
t != n.getEnclosingCallable().asSourceCallable().(Function).getDeclaringType()
}
pragma[nomagic]
predicate isOwnInstanceAccessNode(DataFlowPrivate::ReturnNode node) {
node.getKind().isIndirectReturn(-1) and
not isEnclosingInstanceAccess(node, _)
}
predicate sinkModelSanitizer(DataFlow::Node node) { none() }
predicate apiSource(DataFlow::Node source) {
DataFlowPrivate::nodeHasOperand(source, any(DataFlow::FieldAddress fa), 1)
or
source instanceof DataFlow::ParameterNode
}
string getInputArgument(DataFlow::Node source) {
exists(DataFlowPrivate::Position pos, int argumentIndex, int indirectionIndex |
source.(DataFlow::ParameterNode).isParameterOf(_, pos) and
argumentIndex = pos.getArgumentIndex() and
indirectionIndex = pos.getIndirectionIndex() and
result = "Argument[" + DataFlow::repeatStars(indirectionIndex) + argumentIndex + "]"
)
or
DataFlowPrivate::nodeHasOperand(source, any(DataFlow::FieldAddress fa), 1) and
result = qualifierString()
}
string getReturnValueString(DataFlowPrivate::ReturnKind k) {
k.isNormalReturn() and
exists(int indirectionIndex | indirectionIndex = k.getIndirectionIndex() |
indirectionIndex = 0 and
result = "ReturnValue"
or
indirectionIndex > 0 and
result = "ReturnValue[" + DataFlow::repeatStars(indirectionIndex) + "]"
)
}
predicate irrelevantSourceSinkApi(Callable source, SourceTargetApi api) { none() }
bindingset[kind]
predicate isRelevantSourceKind(string kind) { any() }
bindingset[kind]
predicate isRelevantSinkKind(string kind) { any() }
predicate containerContent(DataFlow::ContentSet cs) { cs instanceof DataFlow::ElementContent }
predicate isAdditionalContentFlowStep(DataFlow::Node node1, DataFlow::Node node2) {
TaintTracking::defaultAdditionalTaintStep(node1, node2, _) and
not exists(DataFlow::Content f |
DataFlowPrivate::readStep(node1, f, node2) and containerContent(f)
)
}
predicate isField(DataFlow::ContentSet cs) {
exists(DataFlow::Content c | cs.isSingleton(c) |
c instanceof DataFlow::FieldContent or
c instanceof DataFlow::UnionContent
)
}
predicate isCallback(DataFlow::ContentSet c) { none() }
string getSyntheticName(DataFlow::ContentSet c) {
exists(Field f |
not f.isPublic() and
f = c.(DataFlow::FieldContent).getField() and
result = f.getName()
)
}
string printContent(DataFlow::ContentSet c) {
exists(int indirectionIndex, string name, string kind |
exists(DataFlow::UnionContent uc |
c.isSingleton(uc) and
name = uc.getUnion().getName() and
indirectionIndex = uc.getIndirectionIndex() and
// Note: We don't actually support the union string in MaD, but we should do that eventually
kind = "Union["
)
or
exists(DataFlow::FieldContent fc |
c.isSingleton(fc) and
name = fc.getField().getName() and
indirectionIndex = fc.getIndirectionIndex() and
kind = "Field["
)
|
result = kind + DataFlow::repeatStars(indirectionIndex) + name + "]"
)
or
exists(DataFlow::ElementContent ec |
c.isSingleton(ec) and
result = "Element[" + ec.getIndirectionIndex() + "]"
)
}
predicate isUninterestingForDataFlowModels(Callable api) { none() }
predicate isUninterestingForHeuristicDataFlowModels(Callable api) {
isUninterestingForDataFlowModels(api)
}
string partialModelRow(Callable api, int i) {
i = 0 and qualifiedName(api, result, _, _, _) // namespace
or
i = 1 and qualifiedName(api, _, result, _, _) // type
or
i = 2 and result = isExtensible(api) // extensible
or
i = 3 and qualifiedName(api, _, _, result, _) // name
or
i = 4 and qualifiedName(api, _, _, _, result) // parameters
or
i = 5 and result = "" and exists(api) // ext
}
string partialNeutralModelRow(Callable api, int i) {
i = 0 and qualifiedName(api, result, _, _, _) // namespace
or
i = 1 and qualifiedName(api, _, result, _, _) // type
or
i = 2 and qualifiedName(api, _, _, result, _) // name
or
i = 3 and qualifiedName(api, _, _, _, result) // parameters
}
predicate sourceNode = ExternalFlow::sourceNode/2;
predicate sinkNode = ExternalFlow::sinkNode/2;
}
import MakeModelGenerator<Location, CppDataFlow, CppTaintTracking, ModelGeneratorInput>

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private import cpp as Cpp
private import codeql.mad.modelgenerator.internal.ModelPrinting
private import CaptureModels::ModelGeneratorInput as ModelGeneratorInput
private module ModelPrintingLang implements ModelPrintingLangSig {
class Callable = Cpp::Declaration;
predicate partialModelRow = ModelGeneratorInput::partialModelRow/2;
predicate partialNeutralModelRow = ModelGeneratorInput::partialNeutralModelRow/2;
}
import ModelPrintingImpl<ModelPrintingLang>

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unexpectedModel
expectedModel

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extensions:
- addsTo:
pack: codeql/cpp-all
extensible: summaryModel
data:
- [ "models", "ManuallyModelled", False, "hasSummary", "(void *)", "", "Argument[0]", "ReturnValue", "value", "manual"]

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import cpp
import utils.modelgenerator.internal.CaptureModels
import InlineModelsAsDataTest
module InlineMadTestConfig implements InlineMadTestConfigSig {
string getCapturedModel(MadRelevantFunction c) { result = ContentSensitive::captureFlow(c, _) }
string getKind() { result = "contentbased-summary" }
}
import InlineMadTest<InlineMadTestConfig>

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unexpectedModel
expectedModel

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extensions:
- addsTo:
pack: codeql/cpp-all
extensible: summaryModel
data:
- [ "Models", "ManuallyModelled", False, "hasSummary", "(void *)", "", "Argument[0]", "ReturnValue", "value", "manual"]

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import cpp
import utils.modelgenerator.internal.CaptureModels
import InlineModelsAsDataTest
module InlineMadTestConfig implements InlineMadTestConfigSig {
string getCapturedModel(MadRelevantFunction c) { result = captureFlow(c) }
string getKind() { result = "summary" }
}
import InlineMadTest<InlineMadTestConfig>

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private import cpp
private import codeql.mad.test.InlineMadTest
class MadRelevantFunction extends Function {
MadRelevantFunction() { not this.isFromUninstantiatedTemplate(_) }
}
private module InlineMadTestLang implements InlineMadTestLangSig {
class Callable = MadRelevantFunction;
/**
* Holds if `c` is the closest `Callable` that succeeds `comment` in the file.
*/
private predicate hasClosestCallable(CppStyleComment comment, Callable c) {
c =
min(Callable cand, int dist |
// This has no good join order, but should hopefully be good enough for tests.
cand.getFile() = comment.getFile() and
dist = cand.getLocation().getStartLine() - comment.getLocation().getStartLine() and
dist > 0
|
cand order by dist
)
}
string getComment(Callable c) {
exists(CppStyleComment comment |
hasClosestCallable(comment, c) and
result = comment.getContents().suffix(2)
)
}
}
import InlineMadTestImpl<InlineMadTestLang>

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using size_t = decltype(sizeof(int));
size_t strlen(const char* str);
char* strcpy(char* dest, const char* src);
namespace Models {
struct BasicFlow {
int* tainted;
//No model as destructors are excluded from model generation.
~BasicFlow() = default;
//summary=Models;BasicFlow;true;returnThis;(int *);;Argument[-1];ReturnValue[*];taint;df-generated
//contentbased-summary=Models;BasicFlow;true;returnThis;(int *);;Argument[-1];ReturnValue[*];value;dfc-generated
BasicFlow* returnThis(int* input) {
return this;
}
//summary=Models;BasicFlow;true;returnParam0;(int *,int *);;Argument[0];ReturnValue;taint;df-generated
//summary=Models;BasicFlow;true;returnParam0;(int *,int *);;Argument[*0];ReturnValue[*];taint;df-generated
//contentbased-summary=Models;BasicFlow;true;returnParam0;(int *,int *);;Argument[0];ReturnValue;value;dfc-generated
//contentbased-summary=Models;BasicFlow;true;returnParam0;(int *,int *);;Argument[*0];ReturnValue[*];value;dfc-generated
int* returnParam0(int* input0, int* input1) {
return input0;
}
//summary=Models;BasicFlow;true;returnParam1;(int *,int *);;Argument[1];ReturnValue;taint;df-generated
//summary=Models;BasicFlow;true;returnParam1;(int *,int *);;Argument[*1];ReturnValue[*];taint;df-generated
//contentbased-summary=Models;BasicFlow;true;returnParam1;(int *,int *);;Argument[1];ReturnValue;value;dfc-generated
//contentbased-summary=Models;BasicFlow;true;returnParam1;(int *,int *);;Argument[*1];ReturnValue[*];value;dfc-generated
int* returnParam1(int* input0, int* input1) {
return input1;
}
//summary=Models;BasicFlow;true;returnParamMultiple;(bool,int *,int *);;Argument[1];ReturnValue;taint;df-generated
//summary=Models;BasicFlow;true;returnParamMultiple;(bool,int *,int *);;Argument[*1];ReturnValue[*];taint;df-generated
//summary=Models;BasicFlow;true;returnParamMultiple;(bool,int *,int *);;Argument[2];ReturnValue;taint;df-generated
//summary=Models;BasicFlow;true;returnParamMultiple;(bool,int *,int *);;Argument[*2];ReturnValue[*];taint;df-generated
//contentbased-summary=Models;BasicFlow;true;returnParamMultiple;(bool,int *,int *);;Argument[1];ReturnValue;value;dfc-generated
//contentbased-summary=Models;BasicFlow;true;returnParamMultiple;(bool,int *,int *);;Argument[*1];ReturnValue[*];value;dfc-generated
//contentbased-summary=Models;BasicFlow;true;returnParamMultiple;(bool,int *,int *);;Argument[2];ReturnValue;value;dfc-generated
//contentbased-summary=Models;BasicFlow;true;returnParamMultiple;(bool,int *,int *);;Argument[*2];ReturnValue[*];value;dfc-generated
int* returnParamMultiple(bool b, int* input0, int* input1) {
return b ? input0 : input1;
}
//summary=Models;BasicFlow;true;returnSubstring;(const char *,char *);;Argument[0];Argument[*1];taint;df-generated
//summary=Models;BasicFlow;true;returnSubstring;(const char *,char *);;Argument[0];ReturnValue[*];taint;df-generated
//summary=Models;BasicFlow;true;returnSubstring;(const char *,char *);;Argument[*0];ReturnValue[*];taint;df-generated
//summary=Models;BasicFlow;true;returnSubstring;(const char *,char *);;Argument[1];ReturnValue;taint;df-generated
//summary=Models;BasicFlow;true;returnSubstring;(const char *,char *);;Argument[*0];Argument[*1];taint;df-generated
//contentbased-summary=Models;BasicFlow;true;returnSubstring;(const char *,char *);;Argument[0];Argument[*1];taint;dfc-generated
//contentbased-summary=Models;BasicFlow;true;returnSubstring;(const char *,char *);;Argument[0];ReturnValue[*];taint;dfc-generated
//contentbased-summary=Models;BasicFlow;true;returnSubstring;(const char *,char *);;Argument[*0];ReturnValue[*];value;dfc-generated
//contentbased-summary=Models;BasicFlow;true;returnSubstring;(const char *,char *);;Argument[1];ReturnValue;value;dfc-generated
//contentbased-summary=Models;BasicFlow;true;returnSubstring;(const char *,char *);;Argument[*0];Argument[*1];value;dfc-generated
char* returnSubstring(const char* source, char* dest) {
return strcpy(dest, source + 1);
}
//summary=Models;BasicFlow;true;setField;(int *);;Argument[0];Argument[-1];taint;df-generated
//summary=Models;BasicFlow;true;setField;(int *);;Argument[*0];Argument[-1];taint;df-generated
//contentbased-summary=Models;BasicFlow;true;setField;(int *);;Argument[0];Argument[-1].Field[*tainted];value;dfc-generated
//contentbased-summary=Models;BasicFlow;true;setField;(int *);;Argument[*0];Argument[-1].Field[**tainted];value;dfc-generated
void setField(int* s) {
tainted = s;
}
//summary=Models;BasicFlow;true;returnField;();;Argument[-1];ReturnValue;taint;df-generated
//summary=Models;BasicFlow;true;returnField;();;Argument[-1];ReturnValue[*];taint;df-generated
//contentbased-summary=Models;BasicFlow;true;returnField;();;Argument[-1].Field[*tainted];ReturnValue;value;dfc-generated
//contentbased-summary=Models;BasicFlow;true;returnField;();;Argument[-1].Field[**tainted];ReturnValue[*];value;dfc-generated
int* returnField() {
return tainted;
}
};
template<typename T>
struct TemplatedFlow {
T tainted;
//summary=Models;TemplatedFlow<T>;true;template_returnThis;(T);;Argument[-1];ReturnValue[*];taint;df-generated
//contentbased-summary=Models;TemplatedFlow<T>;true;template_returnThis;(T);;Argument[-1];ReturnValue[*];value;dfc-generated
TemplatedFlow<T>* template_returnThis(T input) {
return this;
}
//summary=Models;TemplatedFlow<T>;true;template_returnParam0;(T *,T *);;Argument[0];ReturnValue;taint;df-generated
//summary=Models;TemplatedFlow<T>;true;template_returnParam0;(T *,T *);;Argument[*0];ReturnValue[*];taint;df-generated
//contentbased-summary=Models;TemplatedFlow<T>;true;template_returnParam0;(T *,T *);;Argument[0];ReturnValue;value;dfc-generated
//contentbased-summary=Models;TemplatedFlow<T>;true;template_returnParam0;(T *,T *);;Argument[*0];ReturnValue[*];value;dfc-generated
T* template_returnParam0(T* input0, T* input1) {
return input0;
}
//summary=Models;TemplatedFlow<T>;true;template_setField;(T);;Argument[0];Argument[-1];taint;df-generated
//contentbased-summary=Models;TemplatedFlow<T>;true;template_setField;(T);;Argument[0];Argument[-1].Field[*tainted];value;dfc-generated
void template_setField(T s) {
tainted = s;
}
//summary=Models;TemplatedFlow<T>;true;template_returnField;();;Argument[-1];ReturnValue[*];taint;df-generated
//contentbased-summary=Models;TemplatedFlow<T>;true;template_returnField;();;Argument[-1].Field[*tainted];ReturnValue[*];value;dfc-generated
T& template_returnField() {
return tainted;
}
//summary=Models;TemplatedFlow<T>;true;templated_function<U>;(U *,T *);;Argument[0];ReturnValue;taint;df-generated
//summary=Models;TemplatedFlow<T>;true;templated_function<U>;(U *,T *);;Argument[*0];ReturnValue[*];taint;df-generated
//contentbased-summary=Models;TemplatedFlow<T>;true;templated_function<U>;(U *,T *);;Argument[0];ReturnValue;value;dfc-generated
//contentbased-summary=Models;TemplatedFlow<T>;true;templated_function<U>;(U *,T *);;Argument[*0];ReturnValue[*];value;dfc-generated
template<typename U>
U* templated_function(U* u, T* t) {
return u;
}
};
void test_templated_flow() {
// Ensure that we have an instantiation of the templated class
TemplatedFlow<int> intFlow;
intFlow.template_returnThis(0);
intFlow.template_returnParam0(nullptr, nullptr);
intFlow.template_setField(0);
intFlow.template_returnField();
intFlow.templated_function<int>(nullptr, nullptr);
}
}
//summary=;;true;toplevel_function;(int *);;Argument[0];ReturnValue;taint;df-generated
//summary=;;true;toplevel_function;(int *);;Argument[*0];ReturnValue;taint;df-generated
//contentbased-summary=;;true;toplevel_function;(int *);;Argument[0];ReturnValue;taint;dfc-generated
//contentbased-summary=;;true;toplevel_function;(int *);;Argument[*0];ReturnValue;value;dfc-generated
int toplevel_function(int* p) {
return *p;
}
//No model as static functions are excluded from model generation.
static int static_toplevel_function(int* p) {
return *p;
}
struct NonFinalStruct {
//summary=;NonFinalStruct;true;public_not_final_member_function;(int);;Argument[0];ReturnValue;taint;df-generated
//contentbased-summary=;NonFinalStruct;true;public_not_final_member_function;(int);;Argument[0];ReturnValue;value;dfc-generated
virtual int public_not_final_member_function(int x) {
return x;
}
//summary=;NonFinalStruct;false;public_final_member_function;(int);;Argument[0];ReturnValue;taint;df-generated
//contentbased-summary=;NonFinalStruct;false;public_final_member_function;(int);;Argument[0];ReturnValue;value;dfc-generated
virtual int public_final_member_function(int x) final {
return x;
}
private:
//No model as private members are excluded from model generation.
int private_member_function(int x) {
return x;
}
protected:
//No model as protected members are excluded from model generation.
int protected_member_function(int x) {
return x;
}
};
struct FinalStruct final {
//summary=;FinalStruct;false;public_not_final_member_function_2;(int);;Argument[0];ReturnValue;taint;df-generated
//contentbased-summary=;FinalStruct;false;public_not_final_member_function_2;(int);;Argument[0];ReturnValue;value;dfc-generated
virtual int public_not_final_member_function_2(int x) {
return x;
}
//summary=;FinalStruct;false;public_final_member_function_2;(int);;Argument[0];ReturnValue;taint;df-generated
//contentbased-summary=;FinalStruct;false;public_final_member_function_2;(int);;Argument[0];ReturnValue;value;dfc-generated
virtual int public_final_member_function_2(int x) final {
return x;
}
};
union U {
int x, y;
};
//summary=;;true;get_x_from_union;(U *);;Argument[0];ReturnValue;taint;df-generated
//summary=;;true;get_x_from_union;(U *);;Argument[*0];ReturnValue;taint;df-generated
//contentbased-summary=;;true;get_x_from_union;(U *);;Argument[0];ReturnValue;taint;dfc-generated
//contentbased-summary=;;true;get_x_from_union;(U *);;Argument[*0].Union[*U];ReturnValue;value;dfc-generated
int get_x_from_union(U* u) {
return u->x;
}
//summary=;;true;set_x_in_union;(U *,int);;Argument[1];Argument[*0];taint;df-generated
//contentbased-summary=;;true;set_x_in_union;(U *,int);;Argument[1];Argument[*0].Union[*U];value;dfc-generated
void set_x_in_union(U* u, int x) {
u->x = x;
}