refactor: support for semgrep as the code analysis tool

src/macaron/errors.py

@@ -105,3 +105,7 @@ class HeuristicAnalyzerValueError(MacaronError):
 
 class LocalArtifactFinderError(MacaronError):
     """Happens when there is an error looking for local artifacts."""
+
+
+class SourceCodeError(MacaronError):
+    """Error for operations on package source code."""

src/macaron/malware_analyzer/pypi_heuristics/sourcecode/pypi_sourcecode_analyzer.py

@@ -11,16 +11,20 @@
 import base64
 import binascii
 import ipaddress
+import json
 import logging
 import os
 import re
-from dataclasses import dataclass
+import subprocess  # nosec
+import tempfile
+from collections import defaultdict
+from typing import Any
 
 import yaml
 
 from macaron.config.defaults import defaults
 from macaron.errors import ConfigurationError, HeuristicAnalyzerValueError
-from macaron.json_tools import JsonType
+from macaron.json_tools import JsonType, json_extract
 from macaron.malware_analyzer.pypi_heuristics.heuristics import HeuristicResult
 from macaron.slsa_analyzer.package_registry.pypi_registry import PyPIPackageJsonAsset
 
@@ -31,21 +35,6 @@
 CALLS = "calls"
 
 
-@dataclass(frozen=True)
-class Import:
-    """Data class to hold information about extracted import statements.
-
-    Name, alias, and module are referring to the following patterns of python import statements:
-    - [from <module>] import <name> [as <alias>]
-    """
-
-    name: str
-    alias: str | None
-    module: str | None
-    lineno: int
-    statement: str
-
-
 class PyPISourcecodeAnalyzer:
     """This class is used to analyze the source code of python PyPI packages. This analyzer is a work in progress.
 
@@ -70,6 +59,7 @@ class PyPISourcecodeAnalyzer:
     def __init__(self) -> None:
         """Collect required data for analysing the source code."""
         self.suspicious_patterns = self._load_defaults()
+        self.rule_files: list = []
 
     def _load_defaults(self) -> dict[str, dict[str, list]]:
         """Load the suspicious pattern from suspicious_pattern.yaml.
@@ -106,7 +96,7 @@ def _load_defaults(self) -> dict[str, dict[str, list]]:
             with open(filename, encoding="utf-8") as file:
                 configured_patterns: dict[str, JsonType] = yaml.safe_load(file)
         except FileNotFoundError as file_error:
-            error_msg = f"Unable to open locate {filename}"
+            error_msg = f"Unable to locate {filename}"
             logger.debug(error_msg)
             raise ConfigurationError(error_msg) from file_error
         except yaml.YAMLError as yaml_error:
@@ -162,44 +152,60 @@ def analyze_patterns(self, pypi_package_json: PyPIPackageJsonAsset) -> tuple[Heu
         HeuristicAnalyzerValueError
             if there is no source code available.
         """
-        analysis_result: dict = {}
+        analysis_result: defaultdict = defaultdict(list)
+        semgrep_commands: list[str] = ["semgrep", "scan"]
         result: HeuristicResult = HeuristicResult.PASS
 
-        source_code = pypi_package_json.package_sourcecode
-        if not source_code:
-            error_msg = "Unable to retrieve PyPI package source code"
+        source_code_path = pypi_package_json.package_sourcecode_path
+        if not source_code_path:
+            error_msg = "Unable to retrieve PyPI package source code path"
             logger.debug(error_msg)
             raise HeuristicAnalyzerValueError(error_msg)
 
-        for filename, content in source_code.items():
-            detail_info = {}
+        self._create_rules()
+        for rule_file in self.rule_files:
+            semgrep_commands.extend(["--config", rule_file.name])
+        semgrep_commands.append(source_code_path)
 
+        with tempfile.NamedTemporaryFile(mode="w+", delete=True) as output_json_file:
+            semgrep_commands.append(f"--json-output={output_json_file.name}")
             try:
-                _ = ast.parse(content)
-            except (SyntaxError, ValueError) as ast_parse_error:
-                logger.debug("File %s cannot be parsed as a python file: %s", filename, ast_parse_error)
-                continue
+                process = subprocess.run(semgrep_commands, check=True, capture_output=True)  # nosec
+            except (subprocess.CalledProcessError, subprocess.TimeoutExpired) as semgrep_error:
+                error_msg = (
+                    f"Unable to run semgrep on {source_code_path} with arguments {semgrep_commands}: {semgrep_error}"
+                )
+                logger.debug(error_msg)
+                raise HeuristicAnalyzerValueError(error_msg) from semgrep_error
 
-            imports = self._extract_imports(content)
-            import_names = set()
-            for i in imports:
-                if i.module:
-                    import_names.add(".".join([i.module, i.name]))
-                import_names.add(i.name)
+            if process.returncode != 0:
+                error_msg = f"Error running semgrep on {source_code_path} with arguments" f" {process.args}"
+                logger.debug(error_msg)
+                raise HeuristicAnalyzerValueError(error_msg)
 
-            for category, patterns in self.suspicious_patterns[IMPORTS].items():
-                category_info = []
+            semgrep_output = json.loads(output_json_file.read())
 
-                suspicious_imports = set.intersection(import_names, set(patterns))
-                if suspicious_imports:
-                    category_info = [i for i in imports if i.name in suspicious_imports]
-                    result = HeuristicResult.FAIL
+        if not semgrep_output:
+            return result, {}
 
-                detail_info[category] = category_info
+        semgrep_findings = json_extract(semgrep_output, ["results"], list)
+        if not semgrep_findings:
+            return result, {}
 
-            analysis_result[filename] = {IMPORTS: detail_info}
+        result = HeuristicResult.FAIL  # some semgrep rules were triggered
+        for finding in semgrep_findings:
+            category = json_extract(finding, ["check_id"], str)
+            if not category:
+                continue
 
-        return result, analysis_result
+            file = json_extract(finding, ["path"], str)
+            start = json_extract(finding, ["start", "line"], int)
+            end = json_extract(finding, ["end", "line"], int)
+            analysis_result[category].append({"file": file, "start": start, "end": end})
+
+        self._clear_rules()
+
+        return result, dict(analysis_result)
 
     def analyze_dataflow(self, pypi_package_json: PyPIPackageJsonAsset) -> tuple[HeuristicResult, dict[str, JsonType]]:
         """Analyze the source code of the package for malicious dataflow.
@@ -253,122 +259,43 @@ def analyze_dataflow(self, pypi_package_json: PyPIPackageJsonAsset) -> tuple[Heu
 
         return result, analysis_result
 
-    def _extract_imports(self, content: str) -> set[Import]:
-        try:
-            return self._extract_imports_from_ast(content)
-        except SyntaxError:
-            return self._extract_imports_from_lines(content)
+    def _create_rules(self) -> None:
+        rule_list: list[dict[str, Any]] = []
+        contents: dict = {}
 
-    def _extract_imports_from_ast(self, content: str) -> set[Import]:
-        """Extract imports from source code using the parsed AST.
+        if self.rule_files:
+            self._clear_rules()
 
-        Parameters
-        ----------
-        source_content: str
-                The source code as a string.
+        # import rules
+        for category, patterns in self.suspicious_patterns[IMPORTS].items():
+            rule: dict[str, Any] = {}
+            pattern_list: list = []
 
-        Returns
-        -------
-        set[str]
-                The set of imports.
+            rule["id"] = category
+            rule["severity"] = "ERROR"
+            rule["languages"] = ["python"]
+            rule["message"] = f"Detected suspicious imports from the '{category}' category"
 
-        Raises
-        ------
-        SyntaxError
-                If the code could not be parsed.
-        """
-        imports = set()
-        tree = ast.parse(content)
-        for node in ast.walk(tree):
-            if isinstance(node, ast.Import):
-                for alias in node.names:
-                    imports.add(Import(alias.name, alias.asname, None, alias.lineno, ""))
-            elif isinstance(node, ast.ImportFrom):
-                module = node.module
-                if module:
-                    _module = "." * node.level + module
-                    for name in node.names:
-                        imports.add(Import(name.name, name.asname, _module, name.lineno, ""))
-        return imports
-
-    def _extract_imports_from_lines(self, content: str) -> set[Import]:
-        """Extract imports from source code using per line pattern matching.
+            for pattern in patterns:
+                pattern_list.append({"pattern": f"import {pattern}"})
+                pattern_list.append({"pattern": f"from {pattern} import $X"})
+                pattern_list.append({"pattern": f'__import__("{pattern}")'})
 
-        Parameters
-        ----------
-        source_content: str
-                The source code as a string.
+            rule["pattern-either"] = pattern_list
+            rule_list.append(rule)
 
-        Returns
-        -------
-        set[str]
-                The list of imports.
-        """
-        alias_pattern = r"\s+as\s+\w+(?:\.{0,1}\w+)*"
-        # Pattern for module aliases.
-
-        module_name = r"\w+(?:\.{0,1}\w+"
-        # <module_name> as described under pattern_import.
-
-        pattern_import = (
-            r"(?:import\s+)(" + module_name + r")*(?:" + alias_pattern + r")?"
-            r"(?:(?:\s*,\s*)(?:" + module_name + r")*(?:" + alias_pattern + r")?))*)(?:(?:\s|#).*)?"
-        )
-        # Allows for a standard import statement.
-        # E.g.: import <module_name(s)> <other_text>
-        # Where <module_name(s)> consists of one or more <module_name>.
-        # Where <module_name> consists of one or more words (a-z or 0-9 or underscore) separated by periods,
-        # with an optional alias.
-        # Where <other_text> allows any character(s) either after a single space or a hash (#).
-
-        pattern_from_import = (
-            r"(?:from\s+)([.]*"
-            + module_name
-            + r")*)(?:\s+import\s+(\w+(?:\s+as\s+\w+)?(?:(?:\s*,\s*)(?:\w+(?:\s+as\s+\w+)?))*))"
-        )
-        # Allows for a from import statement.
-        # E.g.: from <module_name> import <module_component(s)> <other_text>
-        # Where <module_name> is as above, but can also be preceded by any number of periods.
-        # (Note only a single module can be placed here.)
-        # Where <module_component(s)> consists of one or more <module_component> with optional aliases.
-        # Where <module_component> is identical to <module_name> except without any periods.
-        # Where <other_text> requires at least one space followed by one or more word characters, plus
-        # any other characters following on from that.
-
-        combined_pattern = f"^(?:{pattern_import})|(?:{pattern_from_import})$"
-        # The combined pattern creates two match groups:
-        # 1 - standard import statement.
-        # 2 - from import statement module.
-        # 3 - from import statement module components.
-
-        imports = set()
-        for lineno, line in enumerate(content.splitlines()):
-            line.strip()
-            match = re.match(combined_pattern, line)
-            if not match:
-                continue
+        contents = {"rules": rule_list}
+
+        with tempfile.NamedTemporaryFile(
+            "w", prefix=f"{IMPORTS}_", suffix=".yaml", delete=False
+        ) as import_patterns_file:
+            yaml.dump(contents, import_patterns_file)
+            self.rule_files.append(import_patterns_file)
 
-            if match.group(1):
-                # Standard import, handle commas and aliases if present.
-                splits = self._prune_aliased_lines(match.group(1), alias_pattern)
-                for split in splits:
-                    imports.add(Import(split, None, None, lineno, ""))
-            elif match.group(2):
-                # From import
-                if match.group(3):
-                    splits = self._prune_aliased_lines(match.group(3), alias_pattern)
-                    for split in splits:
-                        imports.add(Import(split, None, match.group(2), lineno, ""))
-        return imports
-
-    def _prune_aliased_lines(self, text: str, alias_pattern: str) -> list[str]:
-        """Split the line on commas and remove any aliases from individual parts."""
-        results = []
-        splits = text.split(",")
-        for split in splits:
-            split = split.strip()
-            results.append(re.sub(alias_pattern, "", split))
-        return results
+    def _clear_rules(self) -> None:
+        for file in self.rule_files:
+            file.close()
+        self.rule_files.clear()
 
 
 class DataFlowTracer(ast.NodeVisitor):

src/macaron/slsa_analyzer/checks/detect_malicious_metadata_check.py

@@ -406,7 +406,11 @@ def run_check(self, ctx: AnalyzeContext) -> CheckResultData:
 
                     # Create an AssetLocator object for the PyPI package JSON object.
                     pypi_package_json = PyPIPackageJsonAsset(
-                        component=ctx.component, pypi_registry=pypi_registry, package_json={}, package_sourcecode={}
+                        component=ctx.component,
+                        pypi_registry=pypi_registry,
+                        package_json={},
+                        package_sourcecode={},
+                        package_sourcecode_path="",
                     )
 
                     pypi_registry_info.metadata.append(pypi_package_json)
@@ -437,6 +441,8 @@ def run_check(self, ctx: AnalyzeContext) -> CheckResultData:
                                     confidence = Confidence.LOW
                                 result_type = CheckResultType.FAILED
 
+                            pypi_package_json.cleanup_sourcecode()
+
                         result_tables.append(
                             MaliciousMetadataFacts(
                                 result=heuristic_results,