# enovella/TEE-reversing

A curated list of public TEE resources for learning how to reverse-engineer and achieve trusted code execution on ARM devices

Repository: https://github.com/enovella/TEE-reversing
Canonical: https://ross.abutalabs.com/products/tee-reversing
License Family: other
Topics: tee, arm-trustzone, trustzone-kernel, android, trustzone, trusted-execution-environment
Last push: 2026-01-07T15:23:21+00:00

## Health v2 (maintenance only)
Score: 60/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 61, release rhythm 35, longevity 100
- inputs: {"age_days": 2824, "days_push": 238, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1036, forks 119 (observed 2026-08-28T04:03:19.338668+00:00)

## What it is
A curated list of public resources for learning about Trusted Execution Environments (TEE) and ARM TrustZone, including papers, blog posts, and exploit writeups. It focuses on reverse-engineering and achieving trusted code execution on ARM devices.

## Use cases
- learn about ARM TrustZone architecture
- find TEE exploit research and papers
- reverse-engineer trusted apps on Android
- study TrustZone security vulnerabilities
- get started with trusted execution environment research

## When to choose
- you are researching ARM TrustZone or TEE security
- you need a starting point of curated TEE learning materials
- you want exploit case studies from vendors like Qualcomm or Huawei

## When to avoid
- you need a software tool or library rather than reading material
- you are looking for x86 or non-ARM trusted computing resources

## Facets
- artifact type: learning-resource
- maturity: active
- function: reverse-engineering, security, documentation
- domain: security, reverse-engineering, mobile-development, awesome-lists
- platform: cross-platform
- tags: tee, trustzone, arm, curated-list, trusted-execution-environment, android

## Member repositories
- enovella/TEE-reversing (main) score 60

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:19.338668+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 2026-08-30T07:04:39.614949+00:00, confidence not recorded.
  - readme: https://github.com/enovella/TEE-reversing (fetched 2026-08-28T04:03:19.338668+00:00, sha d8e6ac08da96)
- Data as of 2026-08-30T08:39:29.467469+00:00.