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## Summary This PR introduces a script that allows developers to run CodeQL analysis locally. It uses a Docker container with prebuilt CodeQL queries to facilitate easy setup and execution. The script has the following key steps: - Creating a CodeQL database from the source code. The database is essentially a representation of the codebase that CodeQL uses to analyze for potential issues. - Running the analysis on the created database, `javascript-security-and-quality` suit is used. ### Usage ``` bash scripts/codeql/quick_check.sh -s path/to/your-source-dir ``` For example ``` bash scripts/codeql/quick_check.sh -s ./x-pack/plugins/security_solution/public/common/components/ml/conditional_links ``` The `-s` option allows you to specify the path to the source code directory that you wish to analyze. ### Why custom Docker file? Checked the ability to use MSFT image for local run https://github.com/microsoft/codeql-container. Turned out it has several problems: 1. The published one has an error with [execute permissions](https://github.com/microsoft/codeql-container/issues/53). 2. Container has outdated nodejs version, so it didn't parse our syntax (like `??`) and failed. 3. The technique used in the repository to download the CodeQL binaries and precompile the queries is outdated in the sense that GitHub now offers pre-compiled queries you can just download. Follow this [comment](https://github.com/microsoft/codeql-container/issues/53#issuecomment-1875879512). Taking this into consideration I have created a lightweight docker image without extraneous dependencies for go/.net/java. ## Context and interdependencies issues There are issues sometimes when analyze run returns no results, particularly when analyzing a single folder. It might be due to the missing context for the data flow graph CodeQL generates or context for interdependencies. This is actually a trade off of running it locally for a subset of source directories. We need to explicitly state that in the documentation and advise to expand the scope of source code directories involved for local scan. Documentation for triaging issues will be updated separately. __Closes: https://github.com/elastic/kibana/issues/195740__
126 lines
4.3 KiB
Bash
126 lines
4.3 KiB
Bash
#!/bin/bash
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LANGUAGE="javascript"
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CODEQL_DIR=".codeql"
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DATABASE_PATH="$CODEQL_DIR/database"
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QUERY_OUTPUT="$DATABASE_PATH/results.sarif"
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OUTPUT_FORMAT="sarif-latest"
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DOCKER_IMAGE="codeql-env"
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BASE_DIR="$(cd "$(dirname "$0")"; pwd)"
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# Colors
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bold=$(tput bold)
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reset=$(tput sgr0)
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red=$(tput setaf 1)
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green=$(tput setaf 2)
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blue=$(tput setaf 4)
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yellow=$(tput setaf 3)
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while getopts ":s:r:" opt; do
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case $opt in
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s) SRC_DIR="$OPTARG" ;;
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r) CODEQL_DIR="$OPTARG"; DATABASE_PATH="$CODEQL_DIR/database"; QUERY_OUTPUT="$DATABASE_PATH/results.sarif" ;;
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\?) echo "Invalid option -$OPTARG" >&2; exit 1 ;;
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:) echo "Option -$OPTARG requires an argument." >&2; exit 1 ;;
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esac
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done
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if [ -z "$SRC_DIR" ]; then
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echo "Usage: $0 -s <source_dir> [-r <results_dir>]"
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exit 1
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fi
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mkdir -p "$CODEQL_DIR"
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# Check the architecture
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ARCH=$(uname -m)
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PLATFORM_FLAG=""
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# CodeQL CLI binary does not support arm64 architecture, setting the platform to linux/amd64
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if [[ "$ARCH" == "arm64" ]]; then
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PLATFORM_FLAG="--platform linux/amd64"
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fi
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if [[ "$(docker images -q $DOCKER_IMAGE 2> /dev/null)" == "" ]]; then
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echo "Docker image $DOCKER_IMAGE not found. Building locally..."
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docker build $PLATFORM_FLAG -t "$DOCKER_IMAGE" -f "$BASE_DIR/codeql.dockerfile" "$BASE_DIR"
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if [ $? -ne 0 ]; then
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echo "${red}Docker image build failed.${reset}"
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exit 1
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fi
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fi
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cleanup_database() {
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echo "Deleting contents of $CODEQL_DIR."
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rm -rf "$CODEQL_DIR"/*
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}
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SRC_DIR="$(cd "$(dirname "$SRC_DIR")"; pwd)/$(basename "$SRC_DIR")"
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CODEQL_DIR="$(cd "$(dirname "$CODEQL_DIR")"; pwd)/$(basename "$CODEQL_DIR")"
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DATABASE_PATH="$(cd "$(dirname "$DATABASE_PATH")"; pwd)/$(basename "$DATABASE_PATH")"
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# Step 1: Run the Docker container to create a CodeQL database from the source code.
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echo "Creating a CodeQL database from the source code: $SRC_DIR"
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docker run $PLATFORM_FLAG --rm -v "$SRC_DIR":/workspace/source-code \
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-v "${DATABASE_PATH}":/workspace/shared $DOCKER_IMAGE \
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"codeql database create /workspace/shared/codeql-db --language=javascript --source-root=/workspace/source-code --overwrite"
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if [ $? -ne 0 ]; then
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echo "CodeQL database creation failed."
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cleanup_database
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exit 1
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fi
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echo "Analyzing a CodeQL database: $DATABASE_PATH"
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# Step 2: Run the Docker container to analyze the CodeQL database.
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docker run $PLATFORM_FLAG --rm -v "${DATABASE_PATH}":/workspace/shared $DOCKER_IMAGE \
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"codeql database analyze --format=${OUTPUT_FORMAT} --output=/workspace/shared/results.sarif /workspace/shared/codeql-db javascript-security-and-quality.qls"
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if [ $? -ne 0 ]; then
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echo "CodeQL database analysis failed."
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cleanup_database
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exit 1
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fi
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# Step 3: Print summary of SARIF results
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echo "Analysis complete. Results saved to $QUERY_OUTPUT"
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if command -v jq &> /dev/null; then
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vulnerabilities=$(jq -r '.runs[] | select(.results | length > 0)' "$QUERY_OUTPUT")
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if [[ -z "$vulnerabilities" ]]; then
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echo "${blue}${bold}No vulnerabilities found in the SARIF results.${reset}"
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else
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echo "${yellow}${bold}Summary of SARIF results:${reset}"
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jq -r '
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.runs[] |
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.results[] as $result |
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.tool.driver.rules[] as $rule |
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select($rule.id == $result.ruleId) |
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"Rule: \($result.ruleId)\nMessage: \($result.message.text)\nFile: \($result.locations[].physicalLocation.artifactLocation.uri)\nLine: \($result.locations[].physicalLocation.region.startLine)\nSecurity Severity: \($rule.properties."security-severity" // "N/A")\n"' "$QUERY_OUTPUT" |
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while IFS= read -r line; do
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case "$line" in
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Rule:*)
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echo "${red}${bold}$line${reset}"
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;;
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Message:*)
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echo "${green}$line${reset}"
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;;
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File:*)
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echo "${blue}$line${reset}"
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;;
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Line:*)
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echo "${yellow}$line${reset}"
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;;
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Security\ Severity:*)
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echo "${yellow}$line${reset}"
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;;
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*)
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echo "$line"
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;;
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esac
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done
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fi
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else
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echo "${red}${bold}Please install jq to display a summary of the SARIF results.${reset}"
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echo "${bold}You can view the full results in the SARIF file using a SARIF viewer.${reset}"
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fi
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