Added '--skip-regex' and '--skip-word' flags to ignore secrets matching custom patterns or skipwords

This commit is contained in:
Mick Grove 2025-08-19 19:18:25 -07:00
commit d3bf941c5f
19 changed files with 1228 additions and 8 deletions

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@ -5,6 +5,7 @@ All notable changes to this project will be documented in this file.
## [1.44.0]
- Fixed issue with self-update on Linux
- Reverted the change to json and jsonl outputs by rule
- Added `--skip-regex` and `--skip-word` flags to ignore secrets matching custom patterns or skipwords
## [1.43.0]
- Added rules for clearbit, kickbox, azure container registry, improved Azure Storage key

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@ -15,6 +15,7 @@ Kingfisher originated as a fork of Praetorian's Nosey Parker, and is built atop
- **Extra targets**: GitLab repos, S3 buckets, Docker images, Jira issues, Confluence pages, and Slack messages
- **Compressed Files**: Supports extracting and scanning compressed files for secrets
- **Baseline mode**: ignore known secrets, flag only new ones
- **Allowlist support**: suppress false positives with custom regexes or words
- **Language-aware detection** (source-code parsing) for ~20 languages
- **Native Windows** binary
@ -597,7 +598,31 @@ kingfisher github repos list --organization my-org
- `--exclude <PATTERN>`: Skip any file or directory whose path matches this glob pattern (repeatable, uses gitignore-style syntax, case sensitive)
- `--baseline-file <FILE>`: Ignore matches listed in a baseline YAML file
- `--manage-baseline`: Create or update the baseline file with current findings
- `--skip-regex <PATTERN>`: Ignore findings whose text matches this regex (repeatable)
- `--skip-word <WORD>`: Ignore findings containing this case-insensitive word (repeatable)
### Ignore known false positives
Use `--skip-regex` and `--skip-word` to suppress findings you know are benign. Both flags may be provided multiple times and are tested against the secret value **and** the full match context.
With `--skip-regex`, these should be Rust compatible regular expressions, which you can test out at [regex101](https://regex101.com)
```bash
# Skip any finding where the finding mentions TEST_KEY
kingfisher scan --skip-regex '(?i)TEST_KEY' path/
# Skip findings that contain the word "dummy" anywhere in the match
kingfisher scan --skip-word dummy path/
# Combine multiple patterns
kingfisher scan \
--skip-regex 'AKIA[0-9A-Z]{16}' \
--skip-word placeholder \
--skip-word dummy \
path/
```
If a `--skip-regex` regular expression fails to compile, the scan aborts with an error so that typos are caught early.
## Finding Fingerprint

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# Kingfisher
<p align="center">
<img src="docs/kingfisher_logo.png" alt="Kingfisher Logo" width="126" height="173" style="vertical-align: right;" />
[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
Kingfisher is a blazingly fast secretscanning and live validation tool built in Rust. It combines Intels hardwareaccelerated Hyperscan regex engine with languageaware parsing via TreeSitter, and **ships with hundreds of builtin rules** to detect, validate, and triage secrets before they ever reach production
</p>
Kingfisher originated as a fork of Praetorian's Nosey Parker, and is built atop their incredible work and the work contributed by the Nosey Parker community.
## What Kingfisher Adds
- **Live validation** via cloud-provider APIs
- **Extra targets**: GitLab repos, S3 buckets, Docker images, Jira issues, Confluence pages, and Slack messages
- **Compressed Files**: Supports extracting and scanning compressed files for secrets
- **Baseline mode**: ignore known secrets, flag only new ones
- **Language-aware detection** (source-code parsing) for ~20 languages
- **Native Windows** binary
## Key Features
- **Performance**: multithreaded, Hyperscanpowered scanning built for huge codebases
- **Extensible rules**: hundreds of built-in detectors plus YAML-defined custom rules ([docs/RULES.md](/docs/RULES.md))
- **Multiple targets**:
- **Git history**: local repos or GitHub/GitLab orgs/users
- **Docker images**: public or private via `--docker-image`
- **Jira issues**: JQLdriven scans with `--jira-url` and `--jql`
- **Confluence pages**: CQLdriven scans with `--confluence-url` and `--cql`
- **Slack messages**: querybased scans with `--slack-query`
- **AWS S3**: bucket scans via `--s3-bucket`/`--s3-prefix` with credentials from `KF_AWS_KEY`/`KF_AWS_SECRET`, `--role-arn`, `--aws-local-profile`, or anonymous
- **Compressed Files**: Supports extracting and scanning compressed files for secrets
- **Baseline management**: generate and track baselines to suppress known secrets ([docs/BASELINE.md](/docs/BASELINE.md))
**Learn more:** [Introducing Kingfisher: RealTime Secret Detection and Validation](https://www.mongodb.com/blog/post/product-release-announcements/introducing-kingfisher-real-time-secret-detection-validation)
# Benchmark Results
See ([docs/COMPARISON.md](docs/COMPARISON.md))
<p align="center">
<img src="docs/runtime-comparison.png" alt="Kingfisher Runtime Comparison" style="vertical-align: center;" />
</p>
# Getting Started
## Installation
On macOS, you can simply
```bash
brew install kingfisher
```
Pre-built binaries are also available on the [Releases](https://github.com/mongodb/kingfisher/releases) section of this page.
You can also install using [ubi](https://github.com/houseabsolute/ubi), which downloads the correct binary for your platform:
```bash
# Linux, macOS
curl --silent --location \
https://raw.githubusercontent.com/houseabsolute/ubi/master/bootstrap/bootstrap-ubi.sh | \
sh && \
ubi --project mongodb/kingfisher --in "$HOME/bin"
```
```powershell
# Windows
powershell -exec bypass -c "Invoke-WebRequest -URI 'https://raw.githubusercontent.com/houseabsolute/ubi/master/bootstrap/bootstrap-ubi.ps1' -UseBasicParsing | Invoke-Expression" && ubi --project mongodb/kingfisher --in .
```
This installs `ubi` and then places the `kingfisher` executable in `~/bin` on Unix-like
systems (or the current directory on Windows).
Or you may compile for your platform via `make`:
```bash
# NOTE: Requires Docker
make linux
# macOS --- must build from a macOS host
make darwin
# Windows x64 --- requires building from a Windows host with Visual Studio installed
./buildwin.bat -force
```
```bash
# Build all targets
make linux-all # builds both x64 and arm64
make darwin-all # builds both x64 and arm64
make all # builds for every OS and architecture supported
```
### Run Kingfisher in Docker
Run the dockerized Kingfisher container:
```bash
# GitHub Container Registry
docker run --rm ghcr.io/mongodb/kingfisher:latest --version
# Scan the current working directory
# (mounts your code at /src and scans it)
docker run --rm \
-v "$PWD":/src \
ghcr.io/mongodb/kingfisher:latest scan /src
# Scan while providing a GitHub token
# Mounts your working dir at /proj and passes in the token:
docker run --rm \
-e KF_GITHUB_TOKEN=ghp_… \
-v "$PWD":/proj \
ghcr.io/mongodb/kingfisher:latest \
scan --git-url https://github.com/org/private_repo.git
# Scan an S3 bucket
# Credentials can come from KF_AWS_KEY/KF_AWS_SECRET, --role-arn, or --aws-local-profile
docker run --rm \
-e KF_AWS_KEY=AKIA... \
-e KF_AWS_SECRET=g5nYW... \
ghcr.io/mongodb/kingfisher:latest \
scan --s3-bucket bucket-name
# Scan and write a JSON report locally
# Here we:
# 1. Mount $PWD → /proj
# 2. Tell Kingfisher to write findings.json inside /proj/reports
# 3. Ensure ./reports exists on your host so Docker can mount it
mkdir -p reports
# run and output into hosts ./reports directory
docker run --rm \
-v "$PWD":/proj \
ghcr.io/mongodb/kingfisher:latest \
scan /proj \
--format json \
--output /proj/reports/findings.json
# Tip: you can combine multiple mounts if you prefer separating source vs. output:
# Here /src is readonly, and /out holds your generated reports
docker run --rm \
-v "$PWD":/src:ro \
-v "$PWD/reports":/out \
ghcr.io/mongodb/kingfisher:latest \
scan /src \
--format json \
--output /out/findings.json
```
# 🔐 Detection Rules at a Glance
Kingfisher ships with hundreds of rules that cover everything from classic cloud keys to the latest LLM-API secrets. Below is an overview:
| Category | What we catch |
|----------|---------------|
| **AI / LLM APIs** | OpenAI, Anthropic, Google Gemini, Cohere, Mistral, Stability AI, Replicate, xAI (Grok), and more
| **Cloud Providers** | AWS, Azure, GCP, Alibaba Cloud, DigitalOcean, IBM Cloud, Cloudflare, and more
| **Dev & CI/CD** | GitHub/GitLab tokens, CircleCI, TravisCI, TeamCity, Docker Hub, npm, PyPI, and more
| **Messaging & Comms** | Slack, Discord, Microsoft Teams, Twilio, Mailgun, SendGrid, Mailchimp, and more
| **Databases & Data Ops** | MongoDB Atlas, PlanetScale, Postgres DSNs, Grafana Cloud, Datadog, Dynatrace, and more
| **Payments & Billing** | Stripe, PayPal, Square, GoCardless, and more
| **Security & DevSecOps** | Snyk, Dependency-Track, CodeClimate, Codacy, OpsGenie, PagerDuty, and more
| **Misc. SaaS & Tools** | 1Password, Adobe, Atlassian/Jira, Asana, Netlify, Baremetrics, and more
## Write Custom Rules!
Kingfisher ships with hundreds of rules with HTTP and servicespecific validation checks (AWS, Azure, GCP, etc.) to confirm if a detected string is a live credential.
However, you may want to add your own custom rules, or modify a detection to better suit your needs / environment.
First, review [docs/RULES.md](/docs/RULES.md) to learn how to create custom Kingfisher rules.
Once you've done that, you can provide your custom rules (defined in a YAML file) and provide it to Kingfisher at runtime --- no recompiling required!
# Usage
## Basic Examples
> **Note**  `kingfisher scan` detects whether the input is a Git repository or a plain directory, no extra flags required.
### Scan with secret validation
```bash
kingfisher scan /path/to/code
## NOTE: This path can refer to:
# 1. a local git repo
# 2. a directory with many git repos
# 3. or just a folder with files and subdirectories
## To explicitly prevent scanning git commit history add:
# `--git-history=none`
```
### Scan a directory containing multiple Git repositories
```bash
kingfisher scan /projects/monorepodir
```
### Scan a Git repository without validation
```bash
kingfisher scan ~/src/myrepo --no-validate
```
### Display only secrets confirmed active by thirdparty APIs
```bash
kingfisher scan /path/to/repo --only-valid
```
### Output JSON and capture to a file
```bash
kingfisher scan . --format json | tee kingfisher.json
```
### Output SARIF directly to disk
```bash
kingfisher scan /path/to/repo --format sarif --output findings.sarif
```
### Pipe any text directly into Kingfisher by passing `-`
```bash
cat /path/to/file.py | kingfisher scan -
```
### Scan using a rule _family_ with one flag
_(prefix matching: `--rule kingfisher.aws` loads `kingfisher.aws._`)\*
```bash
# Only apply AWS-related rules (kingfisher.aws.1 + kingfisher.aws.2)
kingfisher scan /path/to/repo --rule kingfisher.aws
```
### Display rule performance statistics
```bash
kingfisher scan /path/to/repo --rule-stats
```
### Scan while ignoring likely test files
`--exclude` skips any file or directory whose path matches this glob pattern (repeatable, uses gitignore-style syntax, case sensitive)
```bash
# Scan source but skip likely unit / integration tests
kingfisher scan ./my-project \
--exclude='[Tt]est' \
--exclude='spec' \
--exclude='[Ff]ixture' \
--exclude='example' \
--exclude='sample'
```
### Exclude specific paths
```bash
# Skip all Python files and any directory named tests
kingfisher scan ./my-project \
--exclude '*.py' \
--exclude '[Tt]ests'
```
If you want to know which files are being skipped, enable verbose debugging (-v) when scanning, which will report any files being skipped by the baseline file (or via --exclude):
```bash
# Skip all Python files and any directory named tests, and report to stderr any skipped files
kingfisher scan ./my-project \
--exclude '*.py' \
--exclude tests \
-v
```
## Scan an S3 bucket
You can scan S3 objects directly:
```bash
kingfisher scan --s3-bucket bucket-name [--s3-prefix path/]
```
Credential resolution happens in this order:
1. `KF_AWS_KEY` and `KF_AWS_SECRET` environment variables
2. `--aws-local-profile` pointing to a profile in `~/.aws/config` (works with AWS SSO)
3. anonymous access for public buckets
If `--role-arn` is supplied, the credentials from steps 12 are used to assume that role.
Examples:
```bash
# using explicit keys
export KF_AWS_KEY=AKIA...
export KF_AWS_SECRET=g5nYW...
kingfisher scan --s3-bucket some-example-bucket
# Above can also be run as:
KF_AWS_KEY=AKIA... KF_AWS_SECRET=g5nYW... kingfisher scan --s3-bucket some-example-bucket
# using a local profile (e.g., SSO) that exists in your AWS profile (~/.aws/config)
kingfisher scan --s3-bucket some-example-bucket --aws-local-profile default
# anonymous scan of a bucket, while providing an object prefix to only scan subset of the s3 bucket
kingfisher scan \
--s3-bucket awsglue-datasets \
--s3-prefix examples/us-legislators/all
# assuming a role when scanning
kingfisher scan --s3-bucket some-example-bucket \
--role-arn arn:aws:iam::123456789012:role/MyRole
# anonymous scan of a public bucket
kingfisher scan --s3-bucket some-example-bucket
```
Docker example:
```bash
docker run --rm \
-e KF_AWS_KEY=AKIA... \
-e KF_AWS_SECRET=g5nYW... \
ghcr.io/mongodb/kingfisher:latest \
scan --s3-bucket bucket-name
```
## Scanning Docker Images
Kingfisher will first try to use any locally available image, then fall back to pulling via OCI.
Authentication happens *in this order*:
1. **`KF_DOCKER_TOKEN`** env var
- If it contains `user:pass`, its used as Basic auth
- Otherwise its sent as a Bearer token
2. **Docker CLI credentials**
- Checks `credHelpers` (per-registry) and `credsStore` in `~/.docker/config.json`.
- Falls back to the legacy `auths``auth` (base64) entries.
3. **Anonymous** (no credentials)
```bash
# 1) Scan public or already-pulled image
kingfisher scan --docker-image ghcr.io/owasp/wrongsecrets/wrongsecrets-master:latest-master
# 2) For private registries, explicitly set KF_DOCKER_TOKEN:
# - Basic auth: "user:pass"
# - Bearer only: "TOKEN"
export KF_DOCKER_TOKEN="AWS:$(aws ecr get-login-password --region us-east-1)"
kingfisher scan --docker-image some-private-registry.dkr.ecr.us-east-1.amazonaws.com/base/amazonlinux2023:latest
# 3) Or rely on your Docker CLI login/keychain:
# (e.g. aws ecr get-login-password … | docker login …)
kingfisher scan --docker-image private.registry.example.com/my-image:tag
```
## Scanning GitHub
### Scan GitHub organisation (requires `KF_GITHUB_TOKEN`)
```bash
kingfisher scan --github-organization my-org
```
### Scan remote GitHub repository
```bash
kingfisher scan --git-url https://github.com/org/repo.git
# Optionally provide a GitHub Token
KF_GITHUB_TOKEN="ghp_…" kingfisher scan --git-url https://github.com/org/private_repo.git
```
---
## Scanning GitLab
### Scan GitLab group (requires `KF_GITLAB_TOKEN`)
```bash
kingfisher scan --gitlab-group my-group
# include repositories from all nested subgroups
kingfisher scan --gitlab-group my-group --gitlab-include-subgroups
```
### Scan GitLab user
```bash
kingfisher scan --gitlab-user johndoe
```
### Scan remote GitLab repository by URL
```bash
kingfisher scan --git-url https://gitlab.com/group/project.git
```
### List GitLab repositories
```bash
kingfisher gitlab repos list --group my-group
# include repositories from all nested subgroups
kingfisher gitlab repos list --group my-group --include-subgroups
```
## Scanning Jira
### Scan Jira issues matching a JQL query
```bash
KF_JIRA_TOKEN="token" kingfisher scan \
--jira-url https://jira.company.com \
--jql "project = TEST AND status = Open" \
--max-results 500
```
### Scan the last 1,000 Jira issues:
```bash
KF_JIRA_TOKEN="token" kingfisher scan \
--jira-url https://jira.mongodb.org \
--jql 'ORDER BY created DESC' \
--max-results 1000
```
## Scanning Confluence
### Scan Confluence pages matching a CQL query
```bash
# Bearer token
KF_CONFLUENCE_TOKEN="token" kingfisher scan \
--confluence-url https://confluence.company.com \
--cql "label = secret" \
--max-results 500
# Basic auth with username and token
KF_CONFLUENCE_USER="user@example.com" KF_CONFLUENCE_TOKEN="token" kingfisher scan \
--confluence-url https://confluence.company.com \
--cql "text ~ 'password'" \
--max-results 500
```
Use the base URL of your Confluence site for `--confluence-url`. Kingfisher
automatically adds `/rest/api` to the end, so `https://example.com/wiki` and
`https://example.com` both work depending on your server configuration.
Generate a personal access token and set it in the `KF_CONFLUENCE_TOKEN` environment variable. By default, Kingfisher sends the token as a bearer token in the `Authorization` header.
To use basic authentication instead, also set `KF_CONFLUENCE_USER` to your Confluence email address; Kingfisher will then send the username and `KF_CONFLUENCE_TOKEN` as a Basic auth header. If the server responds with a redirect to a login page, the credentials are invalid or lack the required permissions.
## Scanning Slack
### Scan Slack messages matching a search query
```bash
KF_SLACK_TOKEN="xoxp-1234..." kingfisher scan \
--slack-query "from:username has:link" \
--max-results 1000
KF_SLACK_TOKEN="xoxp-1234..." kingfisher scan \
--slack-query "akia" \
--max-results 1000
```
*The Slack token must be a user token with the `search:read` scope. Bot tokens (those beginning with `xoxb-`) cannot call the Slack search API.*
## Environment Variables for Tokens
| Variable | Purpose |
| ----------------- | ---------------------------- |
| `KF_GITHUB_TOKEN` | GitHub Personal Access Token |
| `KF_GITLAB_TOKEN` | GitLab Personal Access Token |
| `KF_JIRA_TOKEN` | Jira API token |
| `KF_CONFLUENCE_TOKEN` | Confluence API token |
| `KF_SLACK_TOKEN` | Slack API token |
| `KF_DOCKER_TOKEN` | Docker registry token (`user:pass` or bearer token). If unset, credentials from the Docker keychain are used |
| `KF_AWS_KEY` and `KF_AWS_SECRET` | AWS Credentials to use with S3 bucket scanning |
Set them temporarily per command:
```bash
KF_GITLAB_TOKEN="glpat-…" kingfisher scan --gitlab-group my-group
```
Or export for the session:
```bash
export KF_GITLAB_TOKEN="glpat-…"
```
To authenticate Jira requests:
```bash
export KF_JIRA_TOKEN="token"
```
To authenticate Confluence requests:
```bash
export KF_CONFLUENCE_TOKEN="token"
```
_If no token is provided Kingfisher still works for public repositories._
---
## Exit Codes
| Code | Meaning |
| ---- | ----------------------------- |
| 0 | No findings |
| 200 | Findings discovered |
| 205 | Validated findings discovered |
## Update Checks
Kingfisher automatically queries GitHub for a newer release when it starts and tells you whether an update is available.
- **Hands-free updates** Add `--self-update` to any Kingfisher command
* If a newer version exists, Kingfisher will download it, replace the running binary, and re-launch itself with the **exact same arguments**.
* If the update fails or no newer release is found, the current run proceeds as normal
- **Disable version checks** Pass `--no-update-check` to skip both the startup and shutdown checks entirely
# Advanced Options
## Build a Baseline / Detect New Secrets
There are situations where a repository already contains checkedin secrets, but you want to ensure no **new** secrets are introduced. A baseline file lets you document the known findings so future scans only report anything that is not already in that list.
The easiest way to create a baseline is to run a normal scan with the `--manage-baseline` flag (typically at a low confidence level to capture all potential matches):
```bash
kingfisher scan /path/to/code \
--confidence low \
--manage-baseline \
--baseline-file ./baseline-file.yml
```
Use the same YAML file with the `--baseline-file` option on future scans to hide all recorded findings:
```bash
kingfisher scan /path/to/code \
--baseline-file /path/to/baseline-file.yaml
```
Running the scan again with `--manage-baseline` refreshes the baseline by adding new findings and pruning entries for secrets that no longer appear. See [docs/BASELINE.md](docs/BASELINE.md) for full detail.
## List Builtin Rules
```bash
kingfisher rules list
```
## To scan using **only** your own `my_rules.yaml` you could run:
```bash
kingfisher scan \
--load-builtins=false \
--rules-path path/to/my_rules.yaml \
./src/
```
## To add your rules alongside the builtins:
```bash
kingfisher scan \
--rules-path ./custom-rules/ \
--rules-path my_rules.yml \
~/path/to/project-dir/
```
## Other Examples
```bash
# Check custom rules - this ensures all regular expressions compile, and can match the rule's `examples` in the YML file
kingfisher rules check --rules-path ./my_rules.yml
# List GitHub repos
kingfisher github repos list --user my-user
kingfisher github repos list --organization my-org
```
## Notable Scan Options
- `--no-dedup`: Report every occurrence of a finding (disable the default de-duplicate behavior)
- `--confidence <LEVEL>`: (low|medium|high)
- `--min-entropy <VAL>`: Override default threshold
- `--no-binary`: Skip binary files
- `--no-extract-archives`: Do not scan inside archives
- `--extraction-depth <N>`: Specifies how deep nested archives should be extracted and scanned (default: 2)
- `--redact`: Replaces discovered secrets with a one-way hash for secure output
- `--exclude <PATTERN>`: Skip any file or directory whose path matches this glob pattern (repeatable, uses gitignore-style syntax, case sensitive)
- `--baseline-file <FILE>`: Ignore matches listed in a baseline YAML file
- `--manage-baseline`: Create or update the baseline file with current findings
## Finding Fingerprint
The document below details the four-field formula (rule SHA-1, origin label, start & end offsets) hashed with XXH3-64 to create Kingfishers 64-bit finding fingerprint, and explains how this ID powers safe deduplication; plus how `--no-dedup` can be used shows every raw match.
See ([docs/FINGERPRINT.md](docs/FINGERPRINT.md))
## Rule Performance Profiling
Use `--rule-stats` to collect timing information for every rule. After scanning, the summary prints a **Rule Performance Stats** section showing how many matches each rule produced along with its slowest and average match times. Useful when creating rules or debugging rules.
## CLI Options
```bash
kingfisher scan --help
```
# Roadmap
- More rules
- More targets
- Please file a [feature request](https://github.com/mongodb/kingfisher/issues), or open a PR, if you have features you'd like added
# License
[Apache2 License](LICENSE)

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@@ -575,50 +576,52 @@
## Other Examples
```bash
# Check custom rules - this ensures all regular expressions compile, and can match the rule's `examples` in the YML file
kingfisher rules check --rules-path ./my_rules.yml
# List GitHub repos
kingfisher github repos list --user my-user
kingfisher github repos list --organization my-org
```
## Notable Scan Options
- `--no-dedup`: Report every occurrence of a finding (disable the default de-duplicate behavior)
- `--confidence <LEVEL>`: (low|medium|high)
- `--min-entropy <VAL>`: Override default threshold
- `--no-binary`: Skip binary files
- `--no-extract-archives`: Do not scan inside archives
- `--extraction-depth <N>`: Specifies how deep nested archives should be extracted and scanned (default: 2)
- `--redact`: Replaces discovered secrets with a one-way hash for secure output
- `--exclude <PATTERN>`: Skip any file or directory whose path matches this glob pattern (repeatable, uses gitignore-style syntax, case sensitive)
- `--baseline-file <FILE>`: Ignore matches listed in a baseline YAML file
- `--manage-baseline`: Create or update the baseline file with current findings
+- `--skip-regex <PATTERN>`: Ignore findings whose text matches this regex (repeatable)
+- `--skip-word <WORD>`: Ignore findings containing this case-insensitive word (repeatable)
## Finding Fingerprint
The document below details the four-field formula (rule SHA-1, origin label, start & end offsets) hashed with XXH3-64 to create Kingfishers 64-bit finding fingerprint, and explains how this ID powers safe deduplication; plus how `--no-dedup` can be used shows every raw match.
See ([docs/FINGERPRINT.md](docs/FINGERPRINT.md))
## Rule Performance Profiling
Use `--rule-stats` to collect timing information for every rule. After scanning, the summary prints a **Rule Performance Stats** section showing how many matches each rule produced along with its slowest and average match times. Useful when creating rules or debugging rules.
## CLI Options
```bash
kingfisher scan --help
```
## Business Value
By integrating Kingfisher into your development lifecycle, you can:
- **Prevent Costly Breaches**
Early detection of embedded credentials avoids expensive incident response, legal fees, and reputation damage
- **Automate Compliance**
Enforce secretscanning policies across GitOps, CI/CD, and pull requests to help satisfy SOC 2, PCIDSS, GDPR, and other standards

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@ -106,6 +106,14 @@ pub struct ScanArgs {
/// Create or update the baseline file with current findings
#[arg(long, default_value_t = false)]
pub manage_baseline: bool,
/// Regex patterns to allow-list secret matches (repeatable)
#[arg(long = "skip-regex", value_name = "PATTERN")]
pub skip_regex: Vec<String>,
/// Skipwords to allow-list secret matches (case-insensitive, repeatable)
#[arg(long = "skip-word", value_name = "WORD")]
pub skip_word: Vec<String>,
}
/// Confidence levels for findings

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@ -325,6 +325,8 @@ fn create_default_scan_args() -> cli::commands::scan::ScanArgs {
no_dedup: false,
baseline_file: None,
manage_baseline: false,
skip_regex: Vec::new(),
skip_word: Vec::new(),
output_args: OutputArgs { output: None, format: ReportOutputFormat::Pretty },
}
}

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@ -34,7 +34,7 @@ use crate::{
rule_profiling::{ConcurrentRuleProfiler, RuleStats, RuleTimer},
rules::rule::Rule,
rules_database::RulesDatabase,
safe_list::is_safe_match,
safe_list::{is_safe_match, is_user_match},
scanner_pool::ScannerPool,
snippet::Base64BString,
util::{intern, redact_value},
@ -472,16 +472,16 @@ fn filter_match<'b>(
None => Cow::Borrowed(&blob.bytes()[start..end]),
};
for captures in re.captures_iter(byte_slice.as_ref()) {
let matching_input = captures.get(1).or_else(|| captures.get(0)).unwrap();
// let str_input = std::str::from_utf8(matching_input.as_bytes()).unwrap_or("");
// let calculated_entropy = calculate_shannon_entropy(str_input);
// if calculated_entropy <= rule.min_entropy() || is_safe_match(str_input) {
// continue;
// }
let full_capture = captures.get(0).unwrap();
let matching_input = captures.get(1).unwrap_or(full_capture);
let min_entropy = rule.min_entropy();
let mi_bytes = matching_input.as_bytes();
let full_bytes = full_capture.as_bytes();
let calculated_entropy = calculate_shannon_entropy(mi_bytes);
if calculated_entropy <= min_entropy || is_safe_match(mi_bytes) {
if calculated_entropy <= min_entropy
|| is_safe_match(mi_bytes)
|| is_user_match(mi_bytes, full_bytes)
{
debug!(
"Skipping match with entropy {} <= {} or safe match",
calculated_entropy, min_entropy

View file

@ -125,6 +125,8 @@ mod tests {
output_args: OutputArgs { output: None, format: ReportOutputFormat::Pretty },
baseline_file: None,
manage_baseline: false,
skip_regex: Vec::new(),
skip_word: Vec::new(),
}
}

View file

@ -0,0 +1,273 @@
use super::*;
impl DetailsReporter {
pub fn json_format<W: std::io::Write>(
&self,
mut writer: W,
args: &cli::commands::scan::ScanArgs,
) -> Result<()> {
let records = self.build_finding_records(args)?;
if !records.is_empty() {
serde_json::to_writer_pretty(&mut writer, &records)?;
writeln!(writer)?;
}
Ok(())
}
pub fn jsonl_format<W: std::io::Write>(
&self,
mut writer: W,
args: &cli::commands::scan::ScanArgs,
) -> Result<()> {
let records = self.build_finding_records(args)?;
for record in records {
serde_json::to_writer(&mut writer, &record)?;
writeln!(writer)?;
}
Ok(())
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::cli::commands::github::GitCloneMode;
use crate::cli::commands::github::GitHistoryMode;
use crate::cli::commands::rules::RuleSpecifierArgs;
use crate::matcher::{SerializableCapture, SerializableCaptures};
use crate::util::intern;
use crate::{
blob::BlobId,
cli::commands::github::GitHubRepoType,
cli::commands::inputs::ContentFilteringArgs,
cli::commands::inputs::InputSpecifierArgs,
cli::commands::output::{OutputArgs, ReportOutputFormat},
cli::commands::scan::ConfidenceLevel,
findings_store::FindingsStore,
location::{Location, OffsetSpan, SourcePoint, SourceSpan},
matcher::Match,
origin::Origin,
reporter::styles::Styles,
};
use std::{
io::Cursor,
path::PathBuf,
sync::{Arc, Mutex},
};
use url::Url;
fn create_default_args() -> cli::commands::scan::ScanArgs {
use crate::cli::commands::gitlab::GitLabRepoType; // bring enum into scope
cli::commands::scan::ScanArgs {
num_jobs: 1,
no_dedup: false,
rules: RuleSpecifierArgs {
rules_path: Vec::new(),
rule: vec!["all".into()],
load_builtins: true,
},
input_specifier_args: InputSpecifierArgs {
// local path / git URL inputs
path_inputs: Vec::new(),
git_url: Vec::new(),
// GitHub
github_user: Vec::new(),
github_organization: Vec::new(),
all_github_organizations: false,
github_api_url: Url::parse("https://api.github.com/").unwrap(),
github_repo_type: GitHubRepoType::Source,
// GitLab
gitlab_user: Vec::new(),
gitlab_group: Vec::new(),
all_gitlab_groups: false,
gitlab_api_url: Url::parse("https://gitlab.com/").unwrap(),
gitlab_repo_type: GitLabRepoType::All,
gitlab_include_subgroups: false,
// Jira options
jira_url: None,
jql: None,
// Confluence options
confluence_url: None,
cql: None,
max_results: 100,
// Slack options
slack_query: None,
slack_api_url: Url::parse("https://slack.com/api/").unwrap(),
// s3
s3_bucket: None,
s3_prefix: None,
role_arn: None,
aws_local_profile: None,
docker_image: Vec::new(),
// clone / history options
git_clone: GitCloneMode::Bare,
git_history: GitHistoryMode::Full,
scan_nested_repos: true,
commit_metadata: true,
},
content_filtering_args: ContentFilteringArgs {
max_file_size_mb: 25.0,
no_extract_archives: false,
extraction_depth: 2,
exclude: Vec::new(), // Exclude patterns
no_binary: true,
},
confidence: ConfidenceLevel::Medium,
no_validate: false,
rule_stats: false,
only_valid: false,
min_entropy: None,
redact: false,
git_repo_timeout: 1800, // 30 minutes
output_args: OutputArgs { output: None, format: ReportOutputFormat::Pretty },
baseline_file: None,
manage_baseline: false,
}
}
fn create_mock_match(
rule_name: &str,
rule_text_id: &str,
rule_finding_fingerprint: &str,
validation_success: bool,
) -> Match {
Match {
location: Location {
offset_span: OffsetSpan { start: 10, end: 20 },
source_span: SourceSpan {
start: SourcePoint { line: 5, column: 10 },
end: SourcePoint { line: 5, column: 20 },
},
},
groups: SerializableCaptures {
captures: vec![SerializableCapture {
name: Some("token".to_string()),
match_number: 1,
start: 10,
end: 20,
value: "mock_token".into(),
}],
},
blob_id: BlobId::new(b"mock_blob"),
finding_fingerprint: 0123,
rule_finding_fingerprint: intern(rule_finding_fingerprint),
rule_text_id: intern(rule_text_id),
rule_name: intern(rule_name),
rule_confidence: Confidence::Medium,
validation_response_body: "validation response".to_string(),
validation_response_status: 200,
validation_success,
calculated_entropy: 4.5,
visible: true,
}
}
fn setup_mock_reporter(matches: Vec<ReportMatch>) -> DetailsReporter {
let mut datastore = FindingsStore::new(PathBuf::from("/tmp"));
if !matches.is_empty() {
let blob_metadata = BlobMetadata {
id: BlobId::new(b"mock_blob"),
num_bytes: 1024,
mime_essence: Some("text/plain".to_string()),
charset: Some("UTF-8".to_string()),
language: Some("Rust".to_string()),
};
let dedup = true;
for m in matches.clone() {
datastore.record(
vec![(
Arc::new(OriginSet::new(
Origin::from_file(PathBuf::from("/mock/path/file.rs")),
vec![],
)),
Arc::new(blob_metadata.clone()),
m.m.clone(),
)],
dedup,
);
}
}
DetailsReporter {
datastore: Arc::new(Mutex::new(datastore)),
styles: Styles::new(false),
only_valid: false,
}
}
#[test]
fn test_json_format() -> Result<()> {
let mock_match =
create_mock_match("MockRule", "mock_rule_1", "mock_finding_fingerprint", true);
let matches = vec![ReportMatch {
origin: OriginSet::new(Origin::from_file(PathBuf::from("/mock/path/file.rs")), vec![]),
blob_metadata: BlobMetadata {
id: BlobId::new(b"mock_blob"),
num_bytes: 1024,
mime_essence: Some("text/plain".to_string()),
charset: Some("UTF-8".to_string()),
language: Some("Rust".to_string()),
},
m: mock_match,
comment: None,
match_confidence: Confidence::Medium,
visible: true,
validation_response_body: "validation response".to_string(),
validation_response_status: 200,
validation_success: true,
}];
let reporter = setup_mock_reporter(matches);
let mut output = Cursor::new(Vec::new());
reporter.json_format(&mut output, &create_default_args())?;
let json_output: Vec<serde_json::Value> = serde_json::from_slice(&output.into_inner())?;
assert!(!json_output.is_empty(), "JSON output should not be empty");
let first = &json_output[0];
assert_eq!(first["rule"]["name"], "MockRule");
assert_eq!(first["finding"]["language"], "Rust");
Ok(())
}
#[test]
fn test_validation_status_in_json() -> Result<()> {
let test_cases = vec![(true, "Active Credential"), (false, "Inactive Credential")];
for (validation_success, expected_status) in test_cases {
let mock_match = create_mock_match(
"MockRule",
"mock_rule_1",
"mock_finding_fingerprint",
validation_success,
);
let matches = vec![ReportMatch {
origin: OriginSet::new(
Origin::from_file(PathBuf::from("/mock/path/file.rs")),
vec![],
),
blob_metadata: BlobMetadata {
id: BlobId::new(b"mock_blob"),
num_bytes: 1024,
mime_essence: Some("text/plain".to_string()),
charset: Some("UTF-8".to_string()),
language: Some("Rust".to_string()),
},
m: mock_match,
comment: None,
match_confidence: Confidence::Medium,
visible: true,
validation_response_body: "validation response".to_string(),
validation_response_status: 200,
validation_success,
}];
let reporter = setup_mock_reporter(matches);
let mut output = Cursor::new(Vec::new());
reporter.json_format(&mut output, &create_default_args())?;
let json_output: Vec<serde_json::Value> = serde_json::from_slice(&output.into_inner())?;
assert!(!json_output.is_empty(), "JSON output should not be empty");
let first = &json_output[0];
let validation_status = first["finding"]["validation"]["status"].as_str().unwrap();
assert_eq!(validation_status, expected_status);
}
Ok(())
}
}

View file

@ -12,6 +12,7 @@
use once_cell::sync::Lazy;
use regex::bytes::Regex;
use std::sync::Mutex;
use tracing::debug;
/// A rule that describes *why* a match is considered safe/benign.
@ -131,6 +132,63 @@ static SAFE_LIST_FILTER_RULES: Lazy<Vec<SafeRule>> = Lazy::new(|| {
]
});
// User-supplied allow-list patterns (regexes) and skipwords. These are empty by
// default and populated via CLI flags at runtime.
static USER_SAFE_REGEXES: Lazy<Mutex<Vec<Regex>>> = Lazy::new(|| Mutex::new(Vec::new()));
static USER_SAFE_SKIPWORDS: Lazy<Mutex<Vec<String>>> = Lazy::new(|| Mutex::new(Vec::new()));
/// Register an additional allow-list regex provided by the user.
/// If the pattern fails to compile, the error is returned so the caller can
/// surface it.
pub fn add_user_regex(pattern: &str) -> std::result::Result<(), regex::Error> {
let re = Regex::new(pattern)?;
USER_SAFE_REGEXES.lock().unwrap().push(re);
Ok(())
}
/// Register an allow-list skipword provided by the user. Comparisons are
/// case-insensitive.
pub fn add_user_skipword(word: &str) {
USER_SAFE_SKIPWORDS.lock().unwrap().push(word.to_lowercase());
}
/// Returns `true` if the given input matches any user-supplied allow-list
/// patterns (regexes or skipwords).
///
/// `secret` is the primary capture group (typically just the secret value)
/// while `full_match` includes the entire match, allowing regexes to target
/// surrounding context such as variable names.
pub fn is_user_match(secret: &[u8], full_match: &[u8]) -> bool {
{
let regexes = USER_SAFE_REGEXES.lock().unwrap();
if regexes.iter().any(|re| re.is_match(secret) || re.is_match(full_match)) {
debug!("Safe match: user skip-regex");
return true;
}
}
let skipwords = USER_SAFE_SKIPWORDS.lock().unwrap();
if skipwords.is_empty() {
return false;
}
// Check skipwords against both the secret and full match (case-insensitive)
let contains_skipword = |bytes: &[u8]| -> bool {
if let Ok(s) = std::str::from_utf8(bytes) {
let lower = s.to_lowercase();
return skipwords.iter().any(|w| lower.contains(w));
}
false
};
if contains_skipword(secret) || contains_skipword(full_match) {
debug!("Safe match: user skip-word");
return true;
}
false
}
/// Returns `Some(&'static str)` with the rule description if the input likely
/// contains *benign* placeholder/test strings; otherwise `None`.
pub fn is_safe_match_reason(input: &[u8]) -> Option<&'static str> {

View file

@ -16,6 +16,7 @@ use crate::{
rule_loader::RuleLoader,
rule_profiling::ConcurrentRuleProfiler,
rules_database::RulesDatabase,
safe_list,
scanner::{
clone_or_update_git_repos, enumerate_filesystem_inputs, enumerate_github_repos,
repos::{
@ -52,6 +53,15 @@ pub async fn run_async_scan(
}
}
// Register user-provided allow-list patterns
for pattern in &args.skip_regex {
safe_list::add_user_regex(pattern)
.map_err(|e| anyhow::anyhow!("Invalid skip-regex '{pattern}': {e}"))?;
}
for word in &args.skip_word {
safe_list::add_user_skipword(word);
}
let start_time = Instant::now();
trace!("Args:\n{global_args:#?}\n{args:#?}");

143
tests/int_allowlist.rs Normal file
View file

@ -0,0 +1,143 @@
use std::{
fs,
sync::{Arc, Mutex},
};
use anyhow::Result;
use kingfisher::{
cli::{
commands::{
github::{GitCloneMode, GitHistoryMode, GitHubRepoType},
gitlab::GitLabRepoType,
inputs::{ContentFilteringArgs, InputSpecifierArgs},
output::{OutputArgs, ReportOutputFormat},
rules::RuleSpecifierArgs,
scan::{ConfidenceLevel, ScanArgs},
},
global::{AdvancedArgs, Mode},
GlobalArgs,
},
findings_store::FindingsStore,
rule_loader::RuleLoader,
rules_database::RulesDatabase,
scanner::run_async_scan,
};
use tempfile::TempDir;
use tokio::runtime::Runtime;
use url::Url;
fn run_skiplist(skip_regex: Vec<String>, skip_skipword: Vec<String>) -> Result<usize> {
let rt = Runtime::new().unwrap();
let work = TempDir::new()?;
let rules_dir = work.path().join("rules");
fs::create_dir_all(&rules_dir)?;
let inputs_dir = work.path().join("in");
fs::create_dir_all(&inputs_dir)?;
fs::write(
rules_dir.join("demo.yml"),
r#"rules:
- id: demo.token
name: Demo token
pattern: 'token_(\w+)'
confidence: low
"#,
)?;
fs::write(inputs_dir.join("a.txt"), "token_realvalue\ntoken_testvalue\n")?;
let scan_args = ScanArgs {
num_jobs: 2,
rules: RuleSpecifierArgs {
rules_path: vec![rules_dir.clone()],
rule: vec!["all".into()],
load_builtins: false,
},
input_specifier_args: InputSpecifierArgs {
path_inputs: vec![inputs_dir.join("a.txt")],
git_url: Vec::new(),
github_user: Vec::new(),
github_organization: Vec::new(),
all_github_organizations: false,
github_api_url: Url::parse("https://api.github.com/").unwrap(),
github_repo_type: GitHubRepoType::Source,
gitlab_user: Vec::new(),
gitlab_group: Vec::new(),
all_gitlab_groups: false,
gitlab_api_url: Url::parse("https://gitlab.com/").unwrap(),
gitlab_repo_type: GitLabRepoType::Owner,
gitlab_include_subgroups: false,
jira_url: None,
jql: None,
confluence_url: None,
cql: None,
slack_query: None,
slack_api_url: Url::parse("https://slack.com/api/").unwrap(),
max_results: 100,
s3_bucket: None,
s3_prefix: None,
role_arn: None,
aws_local_profile: None,
docker_image: Vec::new(),
git_clone: GitCloneMode::Bare,
git_history: GitHistoryMode::Full,
scan_nested_repos: true,
commit_metadata: true,
},
content_filtering_args: ContentFilteringArgs {
max_file_size_mb: 5.0,
exclude: Vec::new(),
no_extract_archives: false,
extraction_depth: 1,
no_binary: true,
},
confidence: ConfidenceLevel::Low,
no_validate: true,
rule_stats: false,
only_valid: false,
min_entropy: Some(0.0),
redact: false,
git_repo_timeout: 1800,
output_args: OutputArgs { output: None, format: ReportOutputFormat::Pretty },
no_dedup: false,
baseline_file: None,
manage_baseline: false,
skip_regex: skip_regex,
skip_word: skip_skipword,
};
let global_args = GlobalArgs {
verbose: 0,
quiet: true,
color: Mode::Never,
progress: Mode::Never,
no_update_check: true,
self_update: false,
ignore_certs: false,
advanced: AdvancedArgs { rlimit_nofile: 8192 },
};
let loaded = RuleLoader::from_rule_specifiers(&scan_args.rules).load(&scan_args)?;
let resolved = loaded.resolve_enabled_rules()?;
let rules_db = Arc::new(RulesDatabase::from_rules(resolved.into_iter().cloned().collect())?);
let datastore = Arc::new(Mutex::new(FindingsStore::new(work.path().join("store"))));
rt.block_on(run_async_scan(&global_args, &scan_args, Arc::clone(&datastore), &rules_db))?;
let x = Ok(datastore.lock().unwrap().get_matches().len()); x
}
#[test]
fn skip_regex_filters_match() -> Result<()> {
let count = run_skiplist(vec!["token_realvalue".into()], Vec::new())?;
assert_eq!(count, 1);
Ok(())
}
#[test]
fn skip_skipword_filters_match() -> Result<()> {
let count = run_skiplist(Vec::new(), vec!["test".into()])?;
assert_eq!(count, 1);
Ok(())
}

View file

@ -118,6 +118,8 @@ rules:
no_dedup,
baseline_file: None,
manage_baseline: false,
skip_regex: Vec::new(),
skip_word: Vec::new(),
};
let global_args = GlobalArgs {

View file

@ -105,6 +105,8 @@ fn test_github_remote_scan() -> Result<()> {
no_dedup: true,
baseline_file: None,
manage_baseline: false,
skip_regex: Vec::new(),
skip_word: Vec::new(),
};
// Create global arguments
let global_args = GlobalArgs {

View file

@ -103,6 +103,8 @@ fn test_gitlab_remote_scan() -> Result<()> {
no_dedup: true,
baseline_file: None,
manage_baseline: false,
skip_regex: Vec::new(),
skip_word: Vec::new(),
};
let global_args = GlobalArgs {
@ -207,6 +209,8 @@ fn test_gitlab_remote_scan_no_history() -> Result<()> {
no_dedup: true,
baseline_file: None,
manage_baseline: false,
skip_regex: Vec::new(),
skip_word: Vec::new(),
};
let global_args = GlobalArgs {

View file

@ -85,6 +85,8 @@ async fn test_redact_hashes_finding_values() -> Result<()> {
no_dedup: true,
baseline_file: None,
manage_baseline: false,
skip_regex: Vec::new(),
skip_word: Vec::new(),
};
let global_args = GlobalArgs {

View file

@ -91,6 +91,8 @@ impl TestContext {
no_dedup: true,
baseline_file: None,
manage_baseline: false,
skip_regex: Vec::new(),
skip_word: Vec::new(),
};
let loaded = RuleLoader::from_rule_specifiers(&scan_args.rules).load(&scan_args)?;
@ -185,6 +187,8 @@ async fn test_scan_slack_messages() -> Result<()> {
no_dedup: true,
baseline_file: None,
manage_baseline: false,
skip_regex: Vec::new(),
skip_word: Vec::new(),
};
let global_args = GlobalArgs {

View file

@ -161,6 +161,8 @@ async fn test_validation_cache_and_depvars() -> Result<()> {
no_dedup: true, // keep duplicates so the cache is stressed
baseline_file: None,
manage_baseline: false,
skip_regex: Vec::new(),
skip_word: Vec::new(),
};
/* --------------------------------------------------------- *

View file

@ -104,6 +104,8 @@ impl TestContext {
no_dedup: true,
baseline_file: None,
manage_baseline: false,
skip_regex: Vec::new(),
skip_word: Vec::new(),
};
let loaded = RuleLoader::from_rule_specifiers(&scan_args.rules)
@ -183,6 +185,8 @@ impl TestContext {
no_dedup: true,
baseline_file: None,
manage_baseline: false,
skip_regex: Vec::new(),
skip_word: Vec::new(),
};
let global_args = GlobalArgs {