# HXSecurity/DongTai

Dongtai IAST is an open-source Interactive Application Security Testing (IAST) tool that enables real-time detection of common vulnerabilities in Java applications and third-party components through passive instrumentation. It is particularly suitable for use in the testing phase of the development pipeline.

Repository: https://github.com/HXSecurity/DongTai
Canonical: https://ross.abutalabs.com/products/dongtai
Homepage: https://dongtai.io
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2025-05-22T08:23:05+00:00

## Health v2 (maintenance only)
Score: 33/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 22, release rhythm 8, longevity 100
- inputs: {"age_days": 1990, "days_push": 468, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1312, forks 154 (observed 2026-08-28T04:04:20.200410+00:00)

## What it is
DongTai IAST is an open-source Interactive Application Security Testing platform that detects vulnerabilities in Java (and some Python) applications in real time via passive instrumentation agents and taint-tracking analysis. It consists of a Django-based server, web UI, analysis engine, and Java/Python agents, deployable via Docker or Kubernetes and suited to the testing phase of a DevSecOps pipeline.

## Use cases
- detect vulnerabilities in java applications during testing
- find vulnerable third-party dependencies and components
- integrate security testing into ci/cd devsecops pipeline
- self-host an interactive application security testing tool
- trace detected vulnerabilities back to source code lines
- detect hardcoded secrets and sensitive information leaks
- test api endpoints for security flaws automatically

## When to choose
- you need runtime, low-false-positive vulnerability detection for Java web applications
- you want an open-source IAST to embed in QA or DevSecOps workflows
- you need software composition analysis alongside application vulnerability detection
- you prefer self-hosted deployment with Docker or Kubernetes

## When to avoid
- you need static analysis of code without running it (use a SAST tool)
- your applications are primarily in languages other than Java or Python
- you only need simple dependency CVE scanning without runtime instrumentation
- you cannot modify the runtime environment to attach an agent

## Facets
- artifact type: service
- maturity: active
- function: security, vulnerability-scanning, monitoring, self-hosted, api-framework
- domain: security, testing, developer-tools
- platform: python, self-hosted, jvm
- tags: iast, dast, sast, taint-tracking, devsecops, java-agent, software-composition-analysis, vulnerability-detection, devops, docker, kubernetes, web-server

## Member repositories
- HXSecurity/DongTai (main) score 33

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:20.200410+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:48:56.579320+00:00, confidence not recorded.
  - readme: https://github.com/HXSecurity/DongTai (fetched 2026-08-28T04:04:20.200410+00:00, sha 43a044fe5580)
  - homepage: https://dongtai.io (fetched 2026-08-29T12:07:43.666897+00:00, sha 3740a1fb8b75)
  - site_page: https://doc.dongtai.io/docs/changelog/release-note (fetched 2026-08-29T12:07:43.704482+00:00, sha ae058d27029b)
  - site_page: https://dongtai.io/about (fetched 2026-08-29T12:07:43.706971+00:00, sha 5121c90065fd)
  - site_page: https://doc.dongtai.io/docs/getting-started/start-project (fetched 2026-08-29T12:07:43.709109+00:00, sha 6ddca896ae14)
  - site_page: https://doc.dongtai.io/docs/operation/application-management (fetched 2026-08-29T12:07:43.711204+00:00, sha 4475465a1fb1)
  - site_page: https://doc.dongtai.io/docs/category/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98 (fetched 2026-08-29T12:07:43.714529+00:00, sha 5178177889ee)
  - site_page: https://doc.dongtai.io (fetched 2026-08-29T12:07:43.712975+00:00, sha a62d7fa8705b)
- Data as of 2026-08-30T08:39:29.467469+00:00.