# stefanesser/dumpdecrypted

Dumps decrypted mach-o files from encrypted iPhone applications from memory to disk. This tool is necessary for security researchers to be able to look under the hood of encryption.

Repository: https://github.com/stefanesser/dumpdecrypted
Canonical: https://ross.abutalabs.com/products/dumpdecrypted
Language: C
License Family: other
Last push: 2017-10-26T12:06:48+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5453, "days_push": 3233, "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 3035, forks 664 (observed 2026-08-28T04:07:39.103147+00:00)

## What it is
A dylib that, when injected via DYLD_INSERT_LIBRARIES into an encrypted iPhone application on a jailbroken device, dumps the decrypted Mach-O binary from memory to disk. It is intended for security researchers analyzing iOS app encryption.

## Use cases
- dump decrypted ipa binaries from encrypted ios apps
- extract decrypted mach-o executable from an iphone app
- analyze encrypted ios application binaries for security research
- decrypt app store apps on a jailbroken device
- get a decrypted binary for reverse engineering an ios app

## When to choose
- you need to dump a decrypted Mach-O binary from an encrypted iOS app on a jailbroken device
- you want a lightweight C dylib alternative to GDB-based decryption scripts

## When to avoid
- you need a maintained tool with recent iOS support
- you are not working on a jailbroken iOS device
- you want a tool with a license or active community

## Facets
- artifact type: cli-tool
- maturity: abandoned
- function: security, reverse-engineering, cli
- domain: security, reverse-engineering, mobile-development
- platform: cli
- tags: ios, mach-o, decryption, dylib-injection, jailbreak, binary-analysis

## Member repositories
- stefanesser/dumpdecrypted (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:39.103147+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 2026-08-30T07:29:45.838378+00:00, confidence not recorded.
  - readme: https://github.com/stefanesser/dumpdecrypted (fetched 2026-08-28T04:07:39.103147+00:00, sha fa953b398413)
- Data as of 2026-08-30T08:39:29.467469+00:00.