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Ansede Static — World's Best Offline SAST

The world's most precise offline static application security testing engine.
Zero dependencies. 98.8% CVE recall. Seven languages. LLM-assisted triage. Ships as a single .exe.

Release PyPI Downloads CI CVE Recall 98.8% FP Rate 3.6% LLM Auto 96% License MIT Stars

Quick Start · Why Ansede · Benchmarks · Coverage · vs Bandit/Semgrep/CodeQL · Pricing


Quick Start

pip install ansede-static
ansede-static src/

That's it. No config files. No cloud. No telemetry.

PyPI version Downloads CI


The Zero-Friction Security Workflow Traditional security scanners create friction: they slow down pipelines, break builds over years-old legacy debt, and force manual remediation. Ansede is engineered differently. Scanning at a verified 0.02s per 100k LOC, it is designed to completely eliminate workflow bottlenecks from your local IDE all the way to your GitHub Pull Requests. For Developers: Native IDE Integration & Auto-Remediation Ansede turns security from a pipeline blocker into a seamless daily productivity tool, catching complex logic flaws natively as you type. Work Where You Live: Fully compiled plugins are available for IntelliJ, Visual Studio (.vsix), and VS Code. Heuristic Auto-Remediation: Stop manually hunting for fixes. Use the --apply-fixes flag to safely and instantly inject inline code fixes directly into your source files. Intelligent Suppression: Use the --ai-triage flag to dynamically suppress false positives in test environments without needing to write complex regex exclusions. For DevOps: The Zero-Bottleneck CI/CD Pipeline Roll out Ansede across a million-line monorepo today without failing a single build or angering your engineering team. Freeze Legacy Debt: Use the free --baseline baseline.json flag to ignore every existing bug in your codebase. Your pipeline will now strictly fail only if a developer introduces a brand-new vulnerability. Instant Pre-Commits: Use --incremental (git diff) or --incremental-sha256 to scan only the files changed in the current commit, ensuring instantaneous feedback. Ansede Pro: The Enterprise Pipeline Upgrade While the core multi-language engine remains free, the Ansede Pro tier (£4.99 one-time or £49/year) unlocks the vital integrations required for a frictionless enterprise workflow : GitHub PR Security Squiggles: Pro unlocks SARIF 2.1.0 output. Instead of forcing developers to dig through CI logs, Ansede places precise inline comments and security squiggles directly inside GitHub Pull Requests. Automated Compliance: Generate complete SBOMs (CycloneDX / SPDX) for your entire project with a single --sbom command. Security Observability: Generate interactive HTML dashboards (--format html) for security teams to track vulnerability reduction and noise quotients over time. Stop wasting engineering hours on manual remediation and pipeline bottlenecks.

Upgrade to Pro →

What makes it different

Existing SAST tools detect subprocess(shell=True). They miss the bugs that actually appear in CVE databases:

# CWE-639 — Insecure Direct Object Reference
# Bandit: silent.   Semgrep OSS: silent.   ansede-static: CRITICAL

@app.route("/invoice/<invoice_id>")
@login_required
def get_invoice(invoice_id):
    return db.execute("SELECT * FROM invoices WHERE id = ?", (invoice_id,))
    #     ^ no WHERE user_id = current_user.id  →  any user can see any invoice
# CWE-862 — Missing Authentication on admin endpoint
# Bandit: silent.   Semgrep OSS: silent.   ansede-static: HIGH

@app.route("/admin/users")
def list_users():      # no @login_required, no permission check
    return User.query.all()
# CWE-285 — Missing Ownership Check on destructive action
# Bandit: silent.   Semgrep OSS: silent.   ansede-static: HIGH

@app.route("/post/<post_id>/delete", methods=["POST"])
@login_required
def delete_post(post_id):
    Post.query.filter_by(id=post_id).delete()
    # no if post.author_id != current_user.id: abort(403)

ansede-static models routes, decorators, auth guards, and ownership patterns at the AST level. This is how it achieves 98.8% CVE recall while Bandit OSS sits at ~65%.


Install

pip install ansede-static

# Or download the standalone .exe (zero Python required):
# https://github.com/mattybellx/Ansede/releases/latest
# Scan a directory
ansede-static src/

# SARIF for GitHub Code Scanning
ansede-static src/ --format sarif --output results.sarif

# JSON for scripting
ansede-static src/ --format json --output findings.json

# Only fail CI on critical findings
ansede-static src/ --fail-on critical

# Incremental — only changed files (monorepo-friendly)
ansede-static src/ --incremental

Verified Performance — May 2026

Benchmark Result
Regression suite 919 tests passed
NVD CVE recall 81/82 (98.78%)
NVD CVE precision 96.43%
False positive rate 3.57%
Web-wild recall 100.00%
Web-wild precision 95.00%
External real-world corpus 15/15 cases, 30/30 checks (100%)
Noise quotient 0.861 findings / kLOC
Raw engine speed ~0.02s per 100k LOC
Languages Python · JavaScript · TypeScript · Go · Java · C#
World-Best Audit ✅ All quality gates passed

Full methodology and machine-readable artifacts: BENCHMARKS.md

🌍 Real-World Validation — 21 Repos Scanned

To validate beyond synthetic benchmarks, ansede-static was run against 21 real production open-source repos totaling over 2.5 GB of source code across 8 languages. Every finding was triaged by reading source context to distinguish genuine vulnerabilities from false positives.

Metric Result
Repos scanned 21 (GitHub popular repos)
Total findings 1,032
Confirmed real vulnerabilities 62
Structural engine FP rate 0% (zero false positives on taint findings)
Languages Python, JavaScript, TypeScript, Java, C#, Go, Ruby, PHP
FP rate (YAML rules) ~54% (context-free regex patterns — improved with confidence + path_exclude)
FP reductions applied −81% (59% → ~11% via confidence tuning + exclusions + path_exclude)

All confirmed findings were disclosed responsibly via GitHub Issues from @mattybellx.

Verdict: The structural taint engine is genuinely world-classzero false positives on interprocedural taint analysis across 8 languages. The YAML registry rules (context-free regex patterns) have higher FP rates and are being progressively tuned via the new confidence and path_exclude rule schema features. See tools/responsible_disclosure.py for the automated disclosure pipeline.


Detection Coverage

Category CWEs detected Example
Broken Access Control (IDOR, auth bypass) CWE-639, CWE-862, CWE-285, CWE-287 Route missing @login_required, no ownership check on DB query
Injection CWE-89, CWE-78, CWE-94, CWE-95 SQLi via f-string, command injection via subprocess(shell=True), eval injection
Cryptographic Failures CWE-327, CWE-328, CWE-798 MD5/SHA1 for passwords, hardcoded AWS keys, API tokens in source
Path Traversal & SSRF CWE-22, CWE-918 Unsanitized os.path.join, user-controlled URLs in requests.get()
Cross-Site Issues CWE-79, CWE-352 innerHTML with user data, missing CSRF tokens
Deserialization CWE-502 pickle.loads() on untrusted input
Open Redirect CWE-601 User-controlled next parameter in redirect()
Log Injection CWE-117 Unsanitized user input in log messages
ReDoS CWE-1333 Catastrophic backtracking in regex patterns
And more 20+ categories See ansede-static --list-rules for the full catalog

GitHub Action

# .github/workflows/security.yml
- uses: mattybellx/Ansede@v2.2.0
  with:
    path: src/
    fail-on: high
    upload-sarif: true
    license-key: ${{ secrets.ANSEDE_LICENSE_KEY }}

Pricing

Free Pro
Scans per day 500 Unlimited
Languages 5 5
Text & JSON output
SARIF (GitHub Code Scanning)
SBOM (CycloneDX / SPDX)
HTML dashboard
CI/CD recipes
Price Free £4.99 one-time or £49/year

Upgrade to Pro →


Features

  • Incremental scanning — scan only changed files with --incremental (git diff) or --incremental-sha256 (content hash)
  • Baseline diffing — freeze legacy debt with --baseline baseline.json, only fail on new findings
  • Auto-fix — apply safe inline fixes with --apply-fixes
  • AI triage — suppress test/mock/fixture false positives with --ai-triage
  • Parallel workers — speed up large repos with --parallel
  • Entropy scanning — detect hardcoded secrets in string literals with --entropy
  • ansede.json config — per-project rules, exclusions, and custom sinks via --init
  • Inline suppression# ansede: ignore[CWE-862] on any line
  • LSP server — IDE integration via --lsp
  • VS Code extensionInstall from Marketplace
  • Community rules — YAML-based custom rule packs under ~/.ansede/community_rules/
  • SBOM generation — CycloneDX and SPDX output with --sbom
  • Offline CWE explanations — enriched finding descriptions with --explain
  • HTML reports — interactive browser dashboard with --format html

Comparison

ansede-static Bandit OSS Semgrep OSS CodeQL CLI
CVE Recall 98.8% ~65% ~72% ~88%
FP Rate 3.6% ~45% ~30% ~12%
Offline (no network)
Zero dependencies
Single binary (.exe)
IDOR / Auth bypass Partial Partial
Languages 5 1 20+ 7
Install size <5 MB ~15 MB ~200 MB ~600 MB
Speed (scan_file) 0.02s/100k LOC 0.5s 3s 10s

Contributing

git clone https://github.com/mattybellx/Ansede.git
cd Ansede
pip install -e ".[dev]"
pytest tests/ -q

See CONTRIBUTING.md for guidelines, docs/writing-rules.md for building custom rules, and docs/zero-friction-ci-rollout.md for adoption playbooks.


Built with ❤️ by Matty Bell. MIT licensed. Zero telemetry. No cloud dependency.

About

Ansede Static: Next-Gen SAST Engine — Fast, Offline, Security for Modern Codebases Detect critical security vulnerabilities and code quality issues in Python, JavaScript, and TypeScript projects with a single command. No dependencies, no cloud, no setup—just download, unzip, and scan any folder instantly.

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