# stephenfewer/ReflectiveDLLInjection

Reflective DLL injection is a library injection technique in which the concept of reflective programming is employed to perform the loading of a library from memory into a host process.

Repository: https://github.com/stephenfewer/ReflectiveDLLInjection
Canonical: https://ross.abutalabs.com/products/reflectivedllinjection
Language: C
License: BSD-3-Clause
License Family: permissive
Last push: 2022-09-03T17:48:42+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5416, "days_push": 1460, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3343, forks 816 (observed 2026-08-28T04:07:56.960553+00:00)

## What it is
A C library implementing reflective DLL injection, a technique for loading a library from memory into a host Windows process without touching disk. The library implements a minimal PE loader so it can load itself with minimal host interaction.

## Use cases
- inject a DLL into a remote process from memory
- load a library without writing it to disk
- red team tool development
- learn how PE loaders and Windows process injection work
- build custom shellcode that bootstraps a DLL in a host process

## When to choose
- you need diskless library injection on Windows from NT4 through Windows 8+
- you are building offensive security or penetration testing tooling
- you want a reference implementation of a minimal in-memory PE loader

## When to avoid
- you need a defensive or detection-focused tool
- you target non-Windows platforms
- you need actively maintained support for the latest Windows versions

## Facets
- artifact type: library
- maturity: maintenance
- function: security, reverse-engineering
- domain: security, windows
- platform: windows, cpp, c
- tags: dll-injection, red-team, offensive-security, memory-loading, pe-loader

## Member repositories
- stephenfewer/ReflectiveDLLInjection (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:56.960553+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 2026-08-29T18:41:03.428717+00:00, confidence not recorded.
  - readme: https://github.com/stephenfewer/ReflectiveDLLInjection (fetched 2026-08-28T04:07:56.960553+00:00, sha 58663e504203)
- Data as of 2026-08-30T08:39:29.467469+00:00.